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Senior Software Engineer - AI Assistant Location New York Business Area Engineering and CTO Ref # 10051418 Description & Requirements Bloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market by focusing on real-time answers, analytics, and automation. Our goal is to use innovative technologies to deliver best-in-class solutions that will impact the future practice of law. The Core Experience team's mission is to craft seamless, intuitive, and innovative experiences that empower users across the BLAW/BGOV/BTAX suite of products. AI Assistant is a key component that aims to provide ubiquitous access to AI-driven workflows across our products. The Core Experience team is focused on building and enhancing the systems and applications that power these experiences, delivering reliable and high-quality features to our users. We are looking to use AI Assistant as a catalyst for transforming how users engage with our products by building core experiences that are: * Intuitive: making it easy for users to find what they need * Personalized: tailoring interactions to individual preferences * Contextual: reducing friction by surfacing relevant information within users' workflows You will work across the stack, contributing to frontend and backend systems using technologies such as Vue for UI development, Python-based services, and modern search technologies including vector and semantic indexing. What's in it for you: * Build and deliver impactful features that enhance our AI Assistant capabilities * Work with modern technologies, including LLM-powered systems and scalable backend services * Gain experience developing and maintaining large-scale distributed systems * Take ownership of features from implementation through deployment and production support * Collaborate closely with product managers, designers, and other engineers to deliver high-quality solutions What you'll do: * Design, develop, test, and maintain software components across the stack * Write clean, efficient, and well-tested code * Participate in code reviews and contribute to improving engineering standards * Debug and resolve production issues to ensure system reliability * Collaborate with team members to deliver features iteratively and on schedule * Contribute to technical design discussions and provide input on implementation approaches You'll need to have: * 5+ years working experience in either Java, Python, C++, or any other object-oriented language * A degree in Computer Science, Engineering, Mathematics, similar field of study, or equivalent work experience * Strong software development fundamentals, including data structures, algorithms, and system design basics * Experience building and maintaining production systems * Great collaboration skills in a team environment, and a willingness to help and receive help from others We'd love to see: * Experience working with modern frontend frameworks (e.g., Vue, React) * Exposure to distributed systems or cloud-based architectures * Interest in AI/ML-powered applications or search technologies * Passion for building the next generation legal research platform * A self-starter mindset Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Platform Engineer (Full-Stack / Orchestration Platform) Location: New York, NY (Hybrid or Remote) Compensation: $150,000 – $200,000 + Equity (0.25% – 0.5%) Industry: AI • Manufacturing • Logistics Headquarters: NYC About the Company Our client is a rapidly growing AI technology company collaborating with major global enterprises to solve high-impact operational challenges across manufacturing, logistics, and construction. Their mission is to build intelligent systems that simplify complexity — combining enterprise-grade infrastructure with cutting-edge AI to power the next generation of automation platforms. About the Role We're looking for a Platform Engineer with strong full-stack development expertise to help build and scale a powerful orchestration platform. This system allows enterprise users to visually design, automate, and execute sophisticated workflows powered by AI-driven logic and real-time data. You'll work on both the backend architecture and frontend experience, building highly performant, secure, and distributed systems that enable seamless process automation at scale. Key Responsibilities • Build and enhance a visual workflow orchestration platform for mission-critical enterprise operations., • Develop robust backend services using Go, Gin, PostgreSQL, and Redis, with a focus on scalability and performance., • Implement job scheduling, event-driven workflows, and real-time data handling across multi-cloud environments., • Design and maintain modern web interfaces using Next.js and TypeScript., • Drive reliability and resilience through security-first development, high availability, and observability best practices. What You'll Bring • Strong background in full-stack engineering, with proficiency in Go, TypeScript, React, and modern web frameworks., • Experience building distributed systems, working with PostgreSQL, Redis, and major cloud providers (AWS, GCP, or Azure)., • Familiarity with Docker, CI/CD automation, and infrastructure as code workflows., • Curiosity and hands-on experience in AI-enabled applications, workflow automation, and LLM integrations., • Exposure to vector databases, visual programming tools, or real-time orchestration engines is a plus. Go, TypeScript, React, Next.js, PostgreSQL, Redis, Docker, CI/CD, Cloud Platforms (AWS/GCP/Azure) Why You'll Love This Role You'll be joining a small, agile team at an AI-first company that's already raised $4M in funding. Here, your work directly shapes the technology used by top-tier enterprises every day. If you enjoy solving deep technical problems, building scalable systems, and pushing the boundaries of automation — this is the opportunity to make an impact. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. Third-party recruiters, please do not reach out for this role.

Senior Backend Engineer, Agentic Workflows Job Type: Full time Industry: Recruitment/Employment Firm Date Opened: 12/23/2025 Job Opening ID: ZR_2794_JOB City: New York State/Province: New York Country: United States Zip/Postal Code: 10001 Salary: $190-$230K++ Work Experience: 10+ Years Job Description Job Title: Senior Backend Engineer, Agentic Workflows - Hybrid 3 days a week Location: NYC, NY working at a SaaS Healthcare Company in dental related field Hybrid Job Location NYC, NY Remote Work Policy In office Hybrid 3 days with in office Monday Wednesdays and Thursdays Visa Sponsorship Available Relocation - NOT Allowed Client Overview: Client is a rapidly growing start-up software company whose mission is to improve the lives of dental healthcare providers by simplifying supply ordering, providing transparent pricing, and modernizing a previously outdated ordering process. Torch is targeting the $100+ billion office-based healthcare supply industry, starting with dental practices. Our innovative e-commerce software platform streamlines healthcare professionals' procurement process and secures the best prices for products. We are a close‑knit team that enjoys working together every day to solve real‑world problems. We obsess over customer satisfaction, promote a strong bias for action, encourage team members to engage in impactful work, and foster a one team culture. Our goal is to create better solutions to help healthcare professionals succeed, and we are looking for people like you to help bring this vision to life. Job Description: This role will play a key role as a Senior Backend Engineer at Torch, you'll play a key role in evolving our platform's architecture, building high-performance distributed systems, and developing agentic workflows that power our next generation of AI-enabled product experiences. You'll design the backend systems that support LLM-powered features at scale - whether that means orchestrating web or voice agents to fetch data, building reliable workflows and safeguards for ingestion and normalization, or ensuring everything operates securely and compliantly. • Good balance of startup excitement (ownership, lean team) and stability/calmness. • Engaged customer base for AI/LLM experimentation and production implementation. Key Responsibilities Further then to Design, integrate, and operate LLM-powered and agentic workflows for claims data. Build and maintain HIPAA-compliant systems for sensitive healthcare data. Lead decisions around security, compliance, cost, performance, and scaling of AI workloads. Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules. Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch's platform. Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.

Developer Relations Manager PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world's leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows. Enterprises trust our conversational AI platform to automate millions of customer interactions every day. Your mission is to define the strategy and lead the developer ecosystem for our new Developer Platform. This includes creating world-class technical content, nurturing a vibrant community of AI builders, and acting as the primary advocate for external developers integrating with our APIs and agent-building tools. We are looking for an impact driven and technical Developer Relations Manager to own the developer journey, driving platform adoption, and establishing PolyAI as the premier destination for Conversational AI developers. You will lead technical advocacy, mentor builders, and align closely with product, marketing, and engineering teams, translating frontier Agentic AI into intuitive, well-documented, and scalable developer resources. If you are motivated by empowering developers, solving complex integration challenges, and transforming technical platform capabilities into a thriving, community-led ecosystem, we want to meet you. Key Responsibilities • Define and Lead the Developer Ecosystem Strategy. Establish a winning DevRel strategy and unified developer journey across our core platform APIs, SDKs, and integration points. Define, monitor, and report on key developer success indicators, driving continuous improvement to maximize developer ROI and platform stickiness., • Own and Deliver World Class Technical Content. Oversee the entire content lifecycle for developers, from strategic prioritization of topics to the creation of high-quality tutorials, API documentation, code samples, reference architectures, and video guides demonstrating how to build and optimize LLM-powered agents., • Be the Voice of Developers. Serve as the principal bridge between the external developer community and internal technical execution. Champion developer needs, translate community feedback into actionable product requirements, and challenge our engineering teams to continuously elevate the developer experience (DevEx)., • Community Building and Advocacy. Act as the face of PolyAI to the developer community. Host webinars, speak at industry conferences, organize hackathons, and actively nurture technical discussions on platforms like GitHub, Discord, or Stack Overflow to ensure developers feel supported and engaged., • Integrate and Optimize Core AI Technology for Builders. Work alongside product teams to ensure our underlying LLM, RAG, and tool-calling pipelines are exposed to developers in a way that is intuitive, scalable, and consistent. Provide hands-on feedback during the development of new platform features., • 5+ years of experience in Developer Relations, Technical Evangelism, or Software Engineering, with a strong focus on community engagement and developer experience., • Proven experience driving developer adoption and managing technical communities for API-first B2B, or Enterprise SaaS developer platforms at scale., • Exceptional ability to use qualitative developer insights and quantitative usage data to define, validate, and evolve a technical advocacy strategy., • Demonstrated track record of creating compelling, high-quality technical content (e.g., code repositories, blog posts, architecture diagrams, and technical presentations) that drives developer engagement., • Superior communication skills, with the ability to articulate complex technical AI/ML concepts to both deeply technical audiences and executive leadership., • Experience working with conversational AI, Natural Language Processing (NLP), Large Language Models (LLMs), or speech technologies., • Previous experience defining, measuring, and moving quantitative success metrics for developer communities or open-source projects., • Experience working on a global B2B or Enterprise platform with a significant international developer footprint. Benefits Participation in the company's employee share options plan Comprehensive health coverage for you and your loved ones Life Insurance STD and LTD The opportunity to contribute to the company's 401k plan Flexible PTO policy + 11 designated company holidays Annual learning and development allowance We're all about making WFH work for you - that's why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! Enhanced parental leave Company-funded fertility and family-forming programmes Menopause care programme with Maven Sabbatical Program: 5-week paid sabbatical available after 5 years of employment At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact. Our core values are: Only the best We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence. Ownership We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes. Relentlessly improve We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI. Bias for action Our world moves quickly and so do we. We take calculated risks and we deliver impact fast. Disagree and commit We are all working toward the same goal. If we don't agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all. Build for people We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation. PolyAI is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status. Kindly find the Privacy Notice for our recruitment process by following the link here . This document provides important information regarding how we handle your personal data throughout the recruitment journey.

Junior Backend Engineer We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description As a Backend Engineer, you'll help build and scale the systems that power our AI-driven research platform. This is a systems-level role - ideal for engineers who love thinking about data flows, orchestration, and performance across complex distributed systems. You'll have the unique opportunity to: • Ship quickly, • Architect and scale backend systems that support high-throughput LLM interactions, vector search, and multi-agent orchestration., • Stitch together AI infrastructure across model providers, data stores, and internal APIs to create cohesive, performant systems., • Own reliability and observability, helping us evolve our database (Postgres / ClickHouse) and job orchestration systems., • Prototype new backend capabilities (retrieval pipelines, caching layers, async task queues) that let us build faster and smarter. We're looking for product-minded backend engineers who: • Based in NYC, we are 5 days a week in person., • Are excited by the intersection of AI infrastructure and systems design., • Have experience leading projects end-to-end., • Are eager to contribute to product decisions., • Are proficient in our tech stack: Next.js, TypeScript, PostgreSQL., • Retrieval/embeddings/prompt orchestration All the usual benefits (competitive pay and equity, private healthcare etc). Unusual benefits: • Gym membership, • In-office cook If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! Email us at with your resume and a brief introduction. We can't wait to meet you!

About Centari At Centari, we believe that in high-stakes dealmaking, the competitive edge lies within unlocking your firm's private deal data. Centari is building the deal intelligence platform for the future of law and finance, moving beyond simple automation and into a world of data-driven dealmaking. Our proprietary Deal Reasoning Engine transforms a firm's goldmine of complex documents into strategic insights, empowering global deal teams to negotiate with the full force of their organization's collective knowledge. Our platform spans M&A, credit finance, fund formation, and real estate. Every deal a firm runs through Centari makes the next one sharper, giving deal teams a clearer view of the market than anyone on the other side of the table. Today, Ropes & Gray, Willkie, Fried Frank, Wilson Sonsini, and practices across the AmLaw 25 and Magic Circle rely on Centari. We're backed by GTMfund, Jeremy Kranz (former DoorDash board), Andy Appelbaum (Seamless), Jack Altman, South Park Commons, and Recall Capital. We are drawn to complexity because that is where true innovation happens. If you're a builder who thrives in ambiguity and operates with radical ownership, we'd love to meet you. For more information, check out centari.com or find us on LinkedIn. About the Role We are hiring a Senior Software Engineer, Backend to join our product team. You'll be a key player in designing and building Centari's core AI technology, working alongside engineers who share a bias for action. As one team, you'll write code, shape the product, interact with customers, and drive initiatives from concept to completion. Our systems are built with Go and React/TypeScript, leveraging cutting-edge LLM technologies across infrastructure, search, and persistence layers. If you're passionate about building impactful LLM applications and thrive on owning complex challenges, we want to hear from you. Requirements • At least 7+ years of experience building production-ready applications in Go or another strongly typed language., • Some experience with or strong interest in LLMs, knowledge graphs, semantic search, and other AI/ML technologies., • Proven ability to work with cutting-edge technology and eagerness to learn new skills., • Willingness to roll up sleeves and get things done - our engineers are comfortable switching between different technical domains as needed., • Strong collaboration skills and ability to work effectively in a fast-paced environment., • Experience as a tech lead or driving projects end to end. Nice to have, • Experience in enterprise SaaS or with highly regulated industries (e.g., legal, financial services, healthcare)., • Experience in a startup environment., • Specialized experience and skills in either full-stack product development or data/ML infrastructure. What we offer, • Build at the frontier of AI for knowledge work, with a highly engaged user base from top firms., • Flat organizational structure promoting autonomy and direct impact., • Meaningful equity in a high-growth startup., • Competitive salary and comprehensive benefits (health, dental, vision, 401k)., • Hybrid remote/office culture in SF and NYC or 100% Remote. Flexible PTO.

Senior Software Engineer Job Description Company description: Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview: As a Manager Software Engineering, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey. Responsibilities: • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows., • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful., • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products., • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models., • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers., • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences., • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree)., • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.)., • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications., • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.)., • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex., • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling., • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Compensation Range: $87,210 - $154,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. Veterans Encouraged to Apply.

AI/ML Software Engineer At Gallatin, we are rebuilding defense logistics for the warfighters of the United States and allied forces. We take an AI-first approach to improve defense readiness through software products that streamline and modernize logistics operations from factory to foxhole and result in better decisions and outcomes. We believe that you won't change the world by phoning it in and as such we work from our office in El Segundo, California or Austin, Texas. About the Role We're looking for an AI/ML Software Engineer to play a foundational role in developing and deploying AI-powered solutions for our core product. You'll work across the full AI/ML lifecycle—from defining and building models to evaluating and deploying large scale ML pipelines and real-time inference systems—while collaborating with cross-functional teams to deliver impactful, real-world AI applications. What You'll Do * Build and Deploy AI/ML Models * Own and develop an AI model aligned with our core product needs within the first three months. * Validate AI-driven product features through real-world testing and feedback from warfighters. * Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring. * Own high model reliability and uptime by implementing monitoring across your work. * Data Collection & Processing * Identify and integrate structured, unstructured, real-time, and batch data sources. * Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality. * Continuous Improvement & Best Practices * Stay ahead of AI trends and emerging technologies to improve model performance. * Document and share best practices for AI/ML development. * Contribute to the hiring and mentoring of AI/ML talent as we grow our team. * Teach the wider team about the latest trends and significance in novel approaches in AI. What We're Looking For * Strong Programming Skills * Expertise in at least one: Python, C++, or C. * ML Framework Proficiency * Hands-on experience with AI/ML training and fine-tuning frameworks, including: * PyTorch, TensorFlow, CUDA, Jupyter Notebooks * Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral) * LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs * MLOps & Data Engineering Knowledge * Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. * Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana. * AI Fundamentals & Security Awareness * Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections). * Growth Mindset * Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others Bonus Points * Experience mentoring and upskilling junior engineers. * Familiarity with legacy systems and working with public sector customers. * Contributions to open-source (AI/ML) projects. Why Gallatin? * Join a mission-driven, high-impact, and fast-moving startup where your work directly improves defense logistics readiness for the warfighters of the United States and allied forces. * Work alongside a team of passionate engineers, designers, and industry experts. * Competitive compensation incl. generous options grant, 100% employer-paid health insurance premiums, 401k, opportunities for rapid career growth, unlimited PTO, free lunches and snacks in the office. This position requires the ability to obtain and maintain relevant security clearances. The successful candidate must be able to work in a classified environment when necessary. If you're not excited about working hard, and solving the hard problems of building AI decisions-support systems that enhance our warfighters, don't apply. The following ranges are based on the cost of labor across US geographic areas. The base ranges from our lowest geographic market to our highest geographic market. Software Engineer I $80,000-$120,000 Software Engineer II $84,000-$175,000 SR Software Engineer $134,000-$210,000

Overview The Lead Backend Engineer on the AI Platform team plays a critical role in building, evolving, and leading the backend systems and engineering practices that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role combines hands-on backend engineering depth with technical leadership, delivery ownership, and mentorship for engineers working on business-critical systems. This role contributes to the development and evolution of core backend capabilities, including service-oriented architecture, APIs, workflow orchestration, event-driven integrations, identity and permissions, and operational tooling. In addition, the Lead Backend Engineer will drive buildouts of AI application infrastructure, LLM-powered product capabilities, agentic workflows, retrieval-augmented systems, evaluation pipelines, and shared platform patterns. Success requires strong technical judgment, sound systems thinking, and the ability to guide a team toward simple, scalable, and maintainable solutions in a cloud-based, regulated, high-stakes environment. The Lead Backend Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, infrastructure-as-code, and AI-assisted development practices to deploy, manage, and improve backend systems. In parallel, this individual will help set technical direction, break down ambiguous problems, mentor engineers, raise the quality bar through design and code review, and partner closely with Product, AI, Data, Operations, and business stakeholders to build both with AI and on top of AI responsibly, securely, and pragmatically. This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities Scale High-Performance Distributed Systems • Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications, • Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend, • Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making, • Remain hands-on in critical areas of the codebase, especially where technical direction, architectural leverage, incident resolution, or execution speed requires senior engineering judgment Technical Direction & Architecture, • Lead the design of service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments, • Define practical patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, backward compatibility, and operational ownership, • Guide technical design reviews, architecture discussions, and implementation plans to ensure systems are simple, secure, reliable, observable, and maintainable, • Make sound technical tradeoffs that balance speed, simplicity, reliability, security, cost, and long-term platform leverage AI Product & Platform Development, • Lead the design and implementation of LLM-powered backend capabilities, including retrieval, tool use, workflow orchestration, structured outputs, human-in-the-loop review, evaluation, guardrails, and production monitoring, • Establish patterns for integrating AI systems with core services, data stores, document workflows, permissions, audit trails, operational decisioning, and user-facing product experiences, • Use AI-assisted development tools thoughtfully to accelerate software delivery while maintaining strong standards for code quality, testing, security, maintainability, and human ownership of technical decisions, • Partner with AI, Data, Product, and Operations teams to translate model capabilities, business workflows, and user feedback into reliable product experiences that improve over time Team Leadership & Delivery, • Lead, mentor, and develop backend engineers through technical guidance, design feedback, code review, pairing, coaching, and clear expectations for engineering quality, • Translate ambiguous business, product, and operational needs into clear technical plans, milestones, sequencing, risks, and execution paths for the team, • Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and keep work moving with urgency and discipline, • Help create a strong team culture grounded in ownership, high standards, candid feedback, pragmatic decision-making, and continuous learning Cloud Deployment & Operations, • Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure, • Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability, • Monitor production services using logging, tracing, metrics, alerting, and observability tooling to proactively identify and resolve issues, • Support secure, resilient, cost-conscious, and well-documented operation of cloud-based backend infrastructure and application services Reliability, Security & Compliance, • Build and lead systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support, • Implement and review authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns, • Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, release readiness, and production support, • Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment Cross-Functional Collaboration, • Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities, • Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions, while helping stakeholders understand technical tradeoffs and delivery risks, • Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations, • Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, incidents, and delivery timelines Qualifications, • 5-8+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications, • 2+ years of experience operating in a technical lead, team lead, staff-level project lead, engineering manager, or equivalent engineering leadership capacity, • Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, code quality, and pragmatic architecture decision-making, • Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows, • Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C#, • Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores, • Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter, • Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure, • Experience building AI-enabled product capabilities on top of LLMs, foundation models, retrieval systems, embedding and search infrastructure, agent or tool-calling patterns, workflow orchestration, structured outputs, and human-in-the-loop review, • Experience integrating AI capabilities with backend systems, permissions, audit trails, document workflows, data pipelines, APIs, operational decisioning, and business-critical user experiences, • Demonstrated ability to use AI-assisted development tools to improve engineering velocity while maintaining code quality, security, review discipline, and accountability for technical decisions, • Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns, • Experience leading technical design, breaking down ambiguous problems, sequencing work, managing dependencies, and helping engineers make high-quality implementation decisions, • Experience mentoring engineers through design review, code review, debugging, production support, career development, and feedback, • Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, compliance, and flexibility Preferred Experience, • Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains, • Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems, • Experience building secure identity, access control, permissions, audit trail, policy, or compliance-oriented backend capabilities, • Experience building high-volume, low-latency, multi-tenant, B2B, enterprise, or internal platform systems, • Experience with AI platform components such as model APIs, prompt management, embeddings, vector databases, retrieval pipelines, function calling, model routing, evaluation harnesses, and AI observability tooling You do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineering lead with solid technical judgment, a product mindset, and excitement for leading engineers through complex backend and AI-enabled systems problems, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply. Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. This is not a role where requirements get handed down. You'll identify problems, design solutions, and ship - often in the same week. You'll need to be comfortable with ambiguity, confident making judgment calls independently, and energized by the kind of work where there's no established playbook. RESPONSIBILITIES: • Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power Link's Analytics Engine end-to-end. Microsoft Azure experience is preferred., • Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right., • Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable., • Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team., • Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams., • Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate., • Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring teammates along without slowing down. QUALIFICATIONS:, • 5+ years of full-stack development experience, ideally including time in an early-stage or 0→1 environment, • Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you, • Experience shipping LLM-native features or applications in production, • Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture, • Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs, • Sharp product instincts and a track record of making smart scope and architecture tradeoffs under pressure, • Direct, low-ego communicator - comfortable with hard feedback from internal users and fast to incorporate it PREFERRED QUALIFICATIONS:, • Experience building ML-powered application workflows and integrating data science outputs, • Familiarity with MCP or production LLM integrations, • Background at an AI-native company or in a product-focused founding environment, • Experience in real estate, finance, or other data-intensive industries $185,000 - $225,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off. The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email .

Senior AI Platform Engineer SS&C Advent's financial solutions are going Agentic! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe. We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform. We are looking for Senior AI Platform Engineers to join our R&D team. These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems. Why You Will Love It Here! • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans, • Your Future: 401 (k) Matching Program, Professional Development Reimbursement, • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave, • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees, • Training: Hands-On, Team-Customized, including SS&C University, • Design and build a scalable Agentic AI framework on top of our data platform., • Implement MCP- and A2A-based architectures for agent collaboration and orchestration., • Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT)., • Build APIs, SDKs, and tooling to enable other teams to use the framework., • Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents., • Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption. Core Skills (Must-Have) • Strong programming skills in Python with 5+ years of experience, • Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes)., • Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A)., • Hands-on experience with API design & integration (REST, GraphQL, gRPC)., • Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker)., • Strong understanding of IAM, security, and multi-tenancy in enterprise systems., • Experience in Information Security., • Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa)., • Familiarity with event-driven architectures (Kafka, Pulsar)., • Understanding of retrieval-augmented generation (RAG) patterns., • Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style)., • Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus)., • Experience in enterprise AI governance (audit, lineage, compliance). Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Squad is using AI to accelerate how the world's best talent finds the right problems to solve. The bottleneck in recruiting isn't sourcing. It's data. Candidate data is poor and getting noisier (self-reported, outdated, now AI-inflated). But recruiters hold high-quality, real-time signal because they talk to candidates every day. That's why companies spend >$800B/year on recruiting. The problem is this signal is fragmented and unusable at scale. Squad's first product aggregates signals from hundreds of recruiters and uses AI to instantly match their candidates to roles, giving companies unprecedented reach without the usual pain of managing external partners. We give recruiters a business-in-a-box that lets them earn more while doing what they do best: building relationships and knowing their candidates deeply. In return, we get proprietary data. Our AI structures signal from real recruiter-candidate context that doesn't exist on LinkedIn or resumes. Every submission, every rejection, every hire feeds a self-improving AI matchmaking engine. We believe the future of recruiting is human authenticity paired with AI efficiency. Great recruiters have a critical role to play, and Squad is built to empower them. Long-term, Squad becomes the infrastructure layer for how talent meets opportunity. Why you should join us Squad is a generational opportunity to rethink how recruiting works, and our path to doing so is significantly de-risked. We have: • Exponential growth: We have product-market fit and are growing rapidly. Squad supports hundreds of candidates, recruiters, and employers every day. We've grown 10x in under a year with a 3-person team., • AI-first business model. Our approach is distinctly enabled by AI, and our business gets stronger as foundation models improve. We're building durability through cross-sided network effects that compound over time. Every submission, rejection, and hire feeds a self-improving matchmaking engine., • Real ownership. It's still 'day 0'. You'll shape what Squad looks like and how far we get. Your input will define our vision, product, team, and execution. What you build now becomes the foundation for everything that follows., • Top tier investors: We've raised over $5M from FJ Labs (Airbnb, Uber, Dropbox), Link Ventures (Mercor, Liquid AI), Golden Ventures (Faire, Boardy), and angels. As the first engineer at Squad, you'll own one of the hardest challenges in tech: predicting which humans will thrive where. We've already solved the cold start problem. We have hundreds of users generating thousands of data points every day. The foundation is there. Now comes the fun part: endless room to build, and you'll shape what that looks like. You'll take full ownership of anything AI at Squad - technical vision, execution, and the decisions that shape what this company becomes. This isn't a role where you inherit a roadmap. You'll collaborate directly with the founder to figure out what to build, how to build it, and who else we need on the team. Predicting human fit is one of the hardest recommendation problems out there - sparse feedback, subjective preferences, high stakes. Most hiring AI trains on the same public data everyone else has. We have proprietary signal from both sides of the market that no one else sees. No one has built on a foundation like this before. Key Responsibilities • Building recommendation systems that predict candidate-job fit - and get smarter with every hire, rejection, and feedback loop, • Designing AI agents that automate end-to-end recruiter and ops workflows, • Fine-tuning models on proprietary hiring data no one else has access to, • Evaluation and simulation environments to measure and improve match quality, • And much more which you'll define, across matching, automation, and infrastructure., • High ownership, comfort with ambiguity, bias toward shipping, • 3+ years of software engineering experience, with a track record of shipping full-stack AI/LLM features in production, • Proficiency with modern AI/ML technologies (LLM APIs, embeddings, vector databases, fine-tuning), • Experience in a high-intensity, high-velocity environment (e.g., seed or Series A/B startup, high-growth tech company, 0→1 product team)

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Healthcare AI Agent Development Role Design and deliver production-grade AI agents for healthcare. You'll build and ship highly performant, reliable, and empathetic AI agents that handle sensitive patient and member interactions. These agents help people understand their coverage, find providers, schedule appointments, navigate billing, and more—all while maintaining strict HIPAA compliance and the trust that healthcare demands. Drive the Agent Development Life Cycle (ADLC). You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments serving healthcare payers, providers, and platforms. Partner with healthcare leaders. You'll work directly with executives and technical teams at health plans, provider networks, and healthcare technology companies to understand their most pressing challenges - from managing high call volumes to reducing administrative burden and building AI agents that transform how they operate at scale. Navigate healthcare complexity. You'll develop deep expertise in healthcare systems and workflows, including integrations across EHR and patient access platforms, payer and provider operations, and common healthcare data and interoperability standards. You'll become fluent in the nuances of benefits and eligibility, claims and billing, scheduling and intake, and translate that understanding into exceptional, trustworthy AI experiences. Build the future of the platform. Your direct work with healthcare customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development in healthcare. Example projects include building AI agents for major health insurance networks that handle detailed questions such as, "What's my co-pay for a primary care visit?" and "How many physical therapy sessions do I have left?" Developing voice and chat agents for healthcare providers that help members find in-network specialists, check availability, and locate providers based on specialty or location; creating AI agents for multi-site primary and urgent care providers that manage appointments and answer common questions across 30+ clinics; building agents that replace lengthy paper intake forms with conversational experiences, boosting pre-visit intake conversion rates; developing AI agents for healthcare financial platforms that help patients understand billing, payment status, explanations of benefits, and financial assistance eligibility - all while maintaining HIPAA compliance and strong PHI/data privacy safeguards; and experimenting with the latest voice models and integrating them at scale for healthcare enterprises requiring secure, compliant phone interactions. You'll bring experience building and scaling end-to-end production systems, strong technical problem-solving skills, especially in fast-changing, ambiguous environments, a builder and tinkerer's mindset with high agency, comfort working directly with customers to understand their needs and solve real-world problems, excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences, and genuine interest in healthcare and improving patient/member experiences. Even better if you have experience in healthcare technology, health IT or working with healthcare organizations, familiarity with healthcare systems, understanding of healthcare compliance requirements, experience building or deploying AI/LLM systems in production, have been a founder or founding engineer, familiarity with tools that power today's AI agents, prior experience with React, TypeScript, and/or Go, and previous roles where you interfaced with customers or led technical projects with external stakeholders. Our values include trust, customer obsession, craftsmanship, intensity, and family. We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer includes flexible (unlimited) paid time off, medical, dental, and vision benefits for you and your family, life insurance and disability benefits, retirement plan dependent on country of employment, parental leave, fertility and family building benefits through Carrot, lunch, as well as delicious snacks and coffee to keep you energized, discretionary benefit stipend giving people the ability to spend where it matters most, and free alphorn lessons. These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us. We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Temporary, • End Date if Temporary: 2 years from start date, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Center for Public Research and Leadership (CPRL) is a partnership of professional schools that prepares students for leadership positions in public education organizations committed to improving the life chances of all children, particularly those of color, from low-income households, or otherwise traditionally underserved. The program brings together upper-level graduate students in business, education, law, and policy from universities across the nation to study and engage in research and consulting projects serving public- and social-sector organizations in the U.S. and Brazil that are undertaking and supporting transformational change in P-12 education and in the public sector as a whole. The program offers graduate students the rigorous, multi-disciplinary, academic, and experiential preparation they need to flourish in exciting leadership, management, and professional positions in those same organizations while simultaneously offering the organizations high-quality, low-cost research and consulting support. Responsibilities 1. Manages, supports, and mentors teams of graduate and professional students in designing and implementing research and consulting projects in the P-12 education sector. a. Team management: Serves as the manager of teams of four to six graduate students for four-to ten-month consulting engagements; sets up project management structures; promotes team cohesion, oversees creation of project plan, and allocation of tasks. b. Strategy development and thought leadership: In collaboration with CPRL leadership and staff, designs research and consulting strategy and methodology for projects; executes and adapts strategy and methodology based on the type of project, gathered information, and client feedback; communicates strategy, vision, methodology, and outcomes to relevant stakeholders. c. Professional development of students: Actively develops student skills and dispositions necessary for the research and consulting projects; provides leadership opportunities for students within the team structure; provides ongoing feedback to students; collaboratively establishes professional growth goals with the team and individual students, and monitors progress towards these goals. d. Quality assurance: Ensures all work products are high quality and delivered on time. 2. Serves as liaison with client organizations: Serves as the primary point of contact with the client; develops project scope of work; manages student-client interaction; documents all changes in project scope., 3. Communicates with CRPL leadership: Updates and receives feedback from CPRL leadership about project work; provides written and oral updates about project and student progress; surfaces issues for additional CPRL support; communicates feedback from leadership to student team and integrates it into project work., 4. Collaborates with CPRL staff on project work and on the development of student resources: Works closely with Associate Directors leading analogous or interconnected projects; contributes to the design and execution of project-related professional learning experiences and materials for students., 5. Collaborates with fellow Directors to ensure project success: Meets with Associate Directors about project work; collaboratively troubleshoots problems; engages in discussions and activities to ensure consistent expectations for students. Minimum Qualifications • Bachelor's degree required and advanced degree in education, law (JD, LLM), management or business, policy, or social sciences required, plus 5-7 years of significant experience., • Strong research and analytical skills, with a preference for candidates with expertise in modeling and analyzing qualitative and/or quantitative data and in matching research methodologies to client and project requirements. Demonstrated ability to design, direct, and carry out team projects with minimal supervision and to work closely with stakeholders in the public sector or non-profit agencies., • Intellectual capacity to think strategically in a fast-paced environment; understand multiple perspectives; learn about new topics; problem solve and develop responsive solutions under changing circumstances., • Ability to respond to and integrate feedback from both peers and supervisors; ability to communicate feedback to individuals and teams in a clear and productive manner., • Experience as a P-12 teacher or experience teaching/mentoring young professionals preferred., • Excellent interpersonal, organization and communication skills., • Excellent writing, editing and presentation skills. Columbia University is committed to the hiring of qualified local residents.

Senior Manager, Analytics and Insight Overview: As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity, enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business. The impact you'll make: • Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities, • Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains, • Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling, • Drive proactive strategic insights to improve the caliber of decision-making across the business, • Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations, • Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement, • Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions, • Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO, • Design and oversee A/B testing and other experimental methodologies to validate product hypotheses, • Lead and develop an 6+ person team spanning analytics, business intelligence, and data science, • Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports, • Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows, • Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand, • Bachelors degree in Business, Data Science, Statistics, or a related field; Masters degree preferred., • 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role., • Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt), • Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers, • Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale, • Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level, • Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau), • Strong understanding of statistical methods, A/B testing, and user research techniques, • Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context, • Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency, • Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech), • Experience supporting SOX-adjacent data validation or ERP integration workstreams 2026 US Benefits for Full Time, Regular Employees: • Physical Health (Medical, Dental & Vision), • 100% employer-paid premium for employees, • Up to 80% coverage for dependents, • Company HSA contribution with the High Deductible Health Plan, • 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution), • Basic Life, Voluntary Life and AD&D Insurance options, • Supplemental, voluntary benefits, • Student Loan Repayment/529 Education Savings with a monthly company contribution, • FSA (Medical, Dependent, Transit and Parking), • Voluntary Life and AD&D Insurance, • Critical Illness Insurance, • Accident Insurance, • Short- and Long-term Disability Insurance, • Pet Insurance, • Identity theft protection, • Legal access to a network of attorneys, • PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industrys future; ready to roll with us? See how weve grownour journey, leadership team, and whats next at ___ About Weedmaps: Founded in 2008, weve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. Freedom to choose. Freedom to access. Freedom to enjoy. Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: • Our recruiters will always communicate with candidates through an @___ email address., • Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps., • If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ___. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at ___ if you would like to confidentially discuss a potential accommodation during the interview process. Salary $185984 - $239246 USD per year recblid i74ird1jvo79l7e7p71xhyw9c8k1y8

Arpit Gupta is hiring multiple full-time Research Scientists for ongoing research on pioneering LLM tools to understand zoning's impact on housing affordability.Working with collaborators Alex Bartik at UIUC and other researchers at NYU Stern, we're looking for candidates to work at the intersection

LLM Experienced professional opportunity in NYC.

LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

Strong experience with LLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails. Experience with LLMOps practices (evaluation harnesses, prompt/version governance, monitoring/quality metrics). Designs and imp

This is a specialized role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. In this role, you won't just be using models; you will be tearing them apart to see how they run on the metal. You will ensure the team has seamless, high-performanc

This person will provide technical depth during pre-sales, sales presentations, and client interactions. Represent AI technology offerings during client meetings and technical sales discussions. The AI Technical Specialist will be a key technical expert with experience in Large Language Models (LLM)

Job DescriptionFounding AI Engineer (Fintech/LLM) Location: New York City, NY (Hybrid, 4 days onsite) Role Overview Founding AI Engineer role owning the end-to-end design, development, and scaling of LLM-powered product features within a high-growth fintech platform. This position directly impacts core product intelligence and user experience through applied AI systems in production. Responsibilities • Own and ship AI features end-to-end from concept to production across full-stack systems, • Design and build LLM-powered product features used by large-scale active user base, • Architect and maintain AI systems including prompt orchestration, memory, and contextual personalization, • Develop retrieval systems leveraging embeddings, RAG pipelines, and financial data grounding, • Build evaluation frameworks to measure model quality, reasoning accuracy, and safety, • Optimize model performance, latency, and cost efficiency in production environments, • Implement guardrails and compliance controls for AI systems in regulated financial contexts, • Collaborate directly with founders and cross-functional teams to iterate quickly on product featuresRequirements, • 3+ years of production software engineering experience or exceptional new graduate, • Hands-on experience shipping LLM-powered applications in production, • Experience with RAG systems, embeddings, or retrieval architectures, • Strong backend engineering fundamentals and system design experience, • Ability to own systems end-to-end and operate independently

Job Description We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organizations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. We save clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description As one of our first engineering hires, you'll have the unique opportunity to: • Ship quickly, • Design and build new modes of working with computers, • Work on groundbreaking projects involving LLMs, • Collaborate closely with our external partners to fuel our growth, • Contribute to product decisions, direction and prioritization, • Shape our engineering culture

Job DescriptionTax Associate Attorney – New York Direct Counsel is seeking a Tax Associate Attorney to join a top-ranked Am Law firm in New York. This role offers the opportunity to work with a nationally recognized tax team advising clients across a wide range of domestic and cross-border transactions. About the Role The firm’s tax group provides sophisticated counsel on international, federal, state, and local tax matters, with a strong focus on transactional tax work. You’ll collaborate with clients that include investment funds and their portfolio companies, renewable energy developers, and major corporations engaged in complex M&A and fund formation activities. Key Responsibilities * Advise clients on M&A, financing transactions, and portfolio investments. * Design and implement tax-efficient structures for joint ventures and corporate transactions. * Provide federal and state tax planning guidance. * Stay current on evolving tax laws by contributing to thought leadership initiatives such as articles and client alerts. * Work collaboratively within a team-oriented environment, with approximately 60% in-office participation expected. Qualifications * JD or LLM from an ABA-accredited law school. * Admission (or eligibility for admission) to the New York Bar. * Minimum of 3 years of transactional tax experience, focusing on corporate and partnership taxation within a law firm. * Experience in accounting or renewable energy sectors is a plus. * Strong written and verbal communication skills. * Detail-oriented, organized, and able to manage multiple priorities effectively. * Team-oriented mindset with a high level of professionalism. Compensation & Benefits * Base salary range: $260,000 – $310,000 * Annual bonus eligibility. * Comprehensive benefits package offered. If you’re a motivated tax attorney seeking to join a premier firm with a collaborative culture and sophisticated client base, we’d love to connect. Apply through Direct Counsel to learn more and be considered for this opportunity.

A cybersecurity ratings leader in New York City is seeking a Senior AI Engineer to develop AI-powered product features.This hands-on role involves designing workflows, integrating AI, and leading code reviews.Ideal candidates will have 5+ years of software engineering experience, strong proficiency

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components., • Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making., • Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages., • Work in collaboration with various teams, in particular the experimental materials science team., • Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development., • Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops., • The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking., • Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.About you, • Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs., • At least 3 years of research experience in AI, with a proven track record of designing agentic systems., • Familiarity with large-scale model training., • Proficiency in Python and relevant ML libraries (e.g., PyTorch)., • Strong publication record in top-tier AI/ML conferences or journals., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • Domain knowledge of materials and/or molecules., • Familiarity with large-scale model training., • Experience with LLM engineering., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Productionize LLMs: Build evaluation framework for open‑source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self‑correction loops tailored to production operations. Collaborate directly with users: Partner with production engineers and applicat

Job Description Senior Cloud Architect – Data, AI & GenAI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Cloud Architect to drive the design and implementation of modern data and AI platforms. This role will enable enterprise adoption of AI/ML and GenAI solutions through scalable cloud architectures. Key Responsibilities: • Build and scale cloud-native data and AI platforms, • Architect data pipelines and AI/ML integration frameworks, • Ensure governance, security, and operational excellence, • Strong experience in cloud architecture (AWS, Azure, GCP), • Expertise in large-scale data platform design and implementation, • Data platforms: Databricks, Snowflake, Azure Synapse, BigQuery, • ML/AI Engineering: Python, PyTorch, MLOps pipelines, • GenAI: Experience with LangChain, LLM orchestration, agentic AI

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: SWE/LLM Superuser Type: Contract Compensation: $42/hour Location: Remote Role Responsibilities • Evaluate and improve AI model outputs in complex software engineering tasks., • Develop and refine prompt engineering techniques, including chain-of-thought and few-shot methods., • Build and optimize agentic systems with tool-calling loops and multi-step reasoning pipelines., • Manage context effectively using RAG, chunking, and vector search to prevent degradation., • Critically assess model outputs, identifying hallucinations and subtle failures. Must-Have • 4+ years professional software engineering experience., • Strong proficiency in at least two languages (Python, TypeScript, Go, Rust, etc.)., • Comfortable with APIs, databases, cloud infrastructure, and application logic., • Upload resume, • AI interview based on your resume

A leading technology consultancy is seeking an AI Quality Analyst specializing in Dutch.The role involves designing conversational prompts and evaluating AI responses, demanding fluency in Dutch and analytical skills.Candidates should have a BS/BA degree or equivalent experience and be self-motivate

In this role, you will Architect and build control and data plane implementations required to realize a highly available, multi‑tenant, large‑scale and secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre‑tra

Applied Researcher I (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. Scale's LLM post-training platform team builds our internal distributed framework for large language model training. At Scale, our

Jump Trading Group is committed to world class research. At Jump, research outcomes drive more than superior risk adjusted returns. Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump.

Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.

What you will doPrompt engineering and testing with LLMsContext engineering to determine the right dataAgentic workflow designHelp us build systems to easily monitor and test LLM performanceContribute to production code (Clojure + Python)Analyze large data setsBuild dashboardsContribute as a thought

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Job DescriptionLocations: New York, NY or Washington, D.C.Direct Counsel is seeking a Special Counsel to join a nationally recognized litigation firm. This firm’s litigation group is known for delivering resourceful strategies, sophisticated advocacy, and practical results across a wide range of complex disputes. The team combines deep subject matter knowledge with a collaborative, client-centered approach to litigation, arbitration, and trial work. Position Overview: Direct Counsel is seeking a Special Counsel with at least seven years of experience to support a busy litigation practice focused on insurance and reinsurance disputes. This senior, non-partnership-track role offers an opportunity to take on substantial responsibility in pretrial and trial matters, with a strong emphasis on arbitration and expert witness work. Key Responsibilities: * Handle a full spectrum of litigation activities including drafting complex legal submissions, preparing witnesses, conducting expert discovery, and participating in trial practice * Participate in arbitration proceedings and develop key advocacy skills * Work closely with senior attorneys and clients on strategy and execution * Help mentor junior attorneys and contribute to the team’s collaborative culture Qualifications: * JD or LLM from an ABA-accredited law school * Admitted or eligible for admission in New York or the District of Columbia * 7+ years of experience handling complex litigation matters * Interest and/or experience in insurance and reinsurance disputes (preferred) * Strong writing, communication, and advocacy skills * Demonstrated ability to manage multiple priorities with professionalism and attention to detail * Team-oriented mindset and willingness to take initiative in a collaborative environment Work Location: * This role may be based in either New York or Washington, D.C. * The firm encourages a hybrid schedule with approximately 60% in-office presence Compensation: * Base salary range: $275,000 to $305,000 * Eligible for discretionary bonus * Comprehensive benefits package provided

Job DescriptionCompany Description Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world. Job Description Hands-on engineering role focused on building and scaling business-critical applications for Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. • Design, build, and maintain full-stack applications using Python on the backend and React / Next.js on the frontend, • Develop APIs and services that integrate with internal platforms, data sources, and third-party tools, • Develop retrieval-augmented generation (RAG) pipelines and LLM-based workflows using tools such as LangChain or LlamaIndexQualifications, • Minimum of 8 years of hands-on experience building production systems using Python, with strong experience working with enterprise data platforms and databases (e.g., Snowflake, Databricks, PostgreSQL, MS SQL), • Frontend development experience with React and/or Next.js, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (e.g., LangChain, LlamaIndex), • Prior experience or exposure to the investment management or financial services industry Additional Information

The role focuses on building AI systems, production ML, and collaborating with engineering teams. A global technology services company is seeking an Application Management Specialist in New York or remote.

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

As the Distinguished Engineer for Innovation & Advanced Architecture, you will serve as the senior technical authority for Cisco's most strategic and complex AI architecture challenges. Deep expertise in generative AI, LLM integration, multi-agent systems, RAG, evaluation frameworks, and enterprise

Job Description Our client is a well-funded Software Startup in New York City, NY building technology to help government entities to leverage AI to increase efficiencies and outcomes. They are currently hiring a Senior Software Engineer / Infrastructure Engineer for their office located in midtown, and this is a hybrid on-site role. Qualified candidates will have at least 5+ years overall experience including hands-on experience with the following technology Stack: Python, FastAPI, Async Python, MongoDB / NoSQL DBs, AWS, Terraform, Kubernetes, Temporal, SpiceDB. Ideal candidates will also have experience with AI / LLM driven backend systems, optimization / scaling / eliminating bottlenecks. BSCS or equivalent is required. The Senior Software Engineer will be responsible for approximatly 70% Backend coding and 30% Infrastructure scaling. Candidates need startup experience and the company prefers technology degrees from top-tier schools. Applicants must be willing to and be interested in working on-site in NYC in a hybrid capacity 3+ days / week. This position offers competitive base salary, equity and comprehensive benefits. Send your resume to for consideration.

Job DescriptionScope of RoleDesign, integrate, and operate LLM-powered and agentic workflows for claims data. Build and maintain HIPAA-compliant systems for sensitive healthcare data. Lead decisions around security, compliance, cost, performance, and scaling of AI workloads. Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules. Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform. Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.MUST HAVE SKILLS5+ years of experience in software engineering. Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads. Demonstrated record of building scalable, secure, and reliable systems. Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholders. Bonus: 1+ year of experience designing AI workflows end-to-end Experience leading AI infrastructure projects end-to-end in a startup environment Contributed to architecture or coding standards for engineering teams. Experience in early-stage product ideation and design for AI-enabled features. Hands-on experience with containerization/orchestration (Docker, Kubernetes) and infrastructure-as-code tooling (Terraform, Pulumi) for provisioning and managing cloud resources.