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Job DescriptionAbout Monstro Monstro is an AI-native fintech platform reimagining how people and institutions manage money. We're building a modern foundation for financial decision-making—combining intelligence, automation, and elegant design to help users make smarter choices with confidence. Our team includes experienced builders from leading fintech, wealth management, and technology companies, united by a shared goal: to create a category-defining product that transforms how financial insight is delivered and acted on. About the Role We're looking for a Senior AI Engineer who is, first and foremost, a strong software engineer—someone who writes clean, well-tested, production-grade code and brings the same engineering rigor you'd expect from any senior engineer on our team. On top of that foundation, you'll bring deep expertise in AI systems: building agentic workflows, deploying both commercial and open-source models, and designing intelligent features that work reliably at scale. You'll build the AI-powered capabilities at the core of our platform—systems that can reason, plan, and act on behalf of users while remaining trustworthy, explainable, and aligned with user intent. Because we deploy within our partners' infrastructure, you'll work with both commercial model APIs (such as Anthropic's Claude) and self-hosted open-weight models, choosing the right tool for each use case based on performance, cost, security, and deployment constraints. What You'll Do Build Production Software Write clean, maintainable, well-tested code. Design APIs, services, and data models with the same rigor expected of any senior engineer. Participate in code reviews, contribute to architecture decisions, and uphold engineering best practices across the codebase. You'll own features end-to-end—from design through deployment and monitoring. Design and Build Agentic AI Systems Design and implement autonomous AI agents with planning, memory, and tool-use capabilities. Build orchestration layers that coordinate multi-step agent workflows, manage conversational context, and handle fallback behaviors gracefully. Integrate both commercial model APIs and self-hosted open-weight models depending on the requirements of each use case. Deploy and Operate AI Models Deploy and manage self-hosted open-weight LLMs within secure cloud environments. Optimize inference performance through quantization, batching strategies, and efficient serving frameworks (vLLM, TGI, or similar). Integrate commercial model APIs (Anthropic, OpenAI, etc.) where appropriate, managing cost, latency, and reliability. Build systems that can operate in environments with limited or no external network access. Build RAG & Knowledge Systems Design retrieval-augmented generation pipelines that ground AI responses in authoritative, up-to-date information. Develop chunking, indexing, and retrieval strategies optimized for financial content. Integrate AI systems with structured knowledge bases and real-time data sources. Ensure AI Quality and Safety Develop evaluation frameworks that measure reliability, consistency, and safety—not just accuracy. Build automated testing pipelines for AI systems, including regression testing, adversarial testing, and edge case detection. Implement guardrails that prevent harmful, biased, or off-topic outputs. Design transparency mechanisms and audit trails that support compliance and debugging. Adapt and Fine-Tune Models Adapt open-weight foundation models for domain-specific tasks using techniques like instruction tuning, LoRA, QLoRA, and parameter-efficient fine-tuning. Implement prompt engineering strategies and evaluate their effectiveness. Optimize model performance for latency, cost, and quality tradeoffs. Monitor and Improve Production AI Implement monitoring for model drift, latency, error rates, and output quality. Design for graceful degradation when models or services underperform. Create feedback loops that surface production issues and drive continuous improvement. Collaborate with Data Engineers and ML Engineers to ensure seamless integration with data pipelines and feature stores. Mentor and Collaborate Mentor junior engineers on AI development and software engineering best practices. Collaborate with product managers and domain experts to translate business needs into AI capabilities. Communicate complex AI concepts clearly to technical and non-technical stakeholders. What We're Looking For Core Engineering Experience • 7+ years of software engineering experience, with a track record of shipping production systems, • Strong proficiency in Python and/or Go, with clean, well-structured code, • Solid understanding of software engineering fundamentals: system design, API design, testing, code review, CI/CD, and version control, • Experience with containerization (Docker, Kubernetes) and cloud infrastructure, • 3+ years of hands-on experience building AI/ML-powered features or products, • Experience building agentic AI systems—chat interfaces, multi-step workflows, tool-use patterns, and orchestration frameworks (LangChain, LangGraph, or similar), • Working experience with both commercial LLM APIs (Anthropic, OpenAI) and open-weight models (LLaMA, Mistral, Qwen, or similar), • Experience designing and implementing RAG pipelines with vector databases, • Strong understanding of prompt engineering and LLM behavior optimization, • Familiarity with model serving frameworks (vLLM, TGI, Triton, or similar) and inference optimization techniques, • Experience with model adaptation techniques (LoRA, QLoRA, PEFT, instruction tuning), • A problem solver at heart—you dig into complex problems, explore options, and find practical solutions rather than waiting for direction, • Proactive and self-driven; you identify opportunities and risks before they become blockers, • Innovative and curious; you keep up with a fast-moving field and bring new ideas to the team, • Passionate about building AI systems that are both powerful and trustworthy, • Excellent communicator who can explain AI behavior and limitations clearly to any audience Why Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage. Note: This role will be hybrid in office for those in the NYC metro or remote for those in the Denver metro area (but with the expectation of periodic travel to our NYC office) Compensation Range (New York City): $189,000 - $235,000 Compensation Range (Denver Metro): $166,000 - $207,000 *The posted range reflects the base salary for this role across the market ranges for each location. Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. Ready to Build With Us? If you're excited to contribute to a high-bar team building something meaningful, we love to hear from you!

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is redefining logistics superiority with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." The Role You know how to operate at scale. You live by ownership and bias for action. But working within the confines of a massive company or cloud provider, your scope is often limited to a single service, proprietary internal tooling, and endless operational reviews. This is a "0 to 1" role. We don't need you to maintain a legacy service with 10 years of tech debt. We need you to architect the core platform that ingests, processes, and acts on billions of data points from the physical world. It's an opportunity to escape the service team grind.What You’ll Build • Tagup AI Agent: Optimize complex NL queries and time-series data storage to ensure sub-second latency for our AI models., • Core Architecture: Design and implement high-performance REST APIs and microservices that power the Manifest platform., • Data Ingestion at Scale: Build the "nervous system" of our platform—robust ETL pipelines that ingest high-frequency sensor data from diverse industrial assets., • Operational Excellence: Bring your "Bar Raiser" mentality to our infrastructure. Implement sophisticated monitoring, alarming, and automated CI/CD pipelines to ensure 99.99% availability without the bureaucracy.Required Skills, • You treat architecture as an evolving being that morphs as customers scale and storage/compute/security needs change., • You understand "Scale" vs. "Complexity": You know that scale isn't just about TPS; it's about handling complex data relationships., • You want to mentor: You are ready to take the "Tech Lead" mantle, mentoring junior engineers and setting the standard for code quality and design patterns.The Tech Stack, • AI: pyro, torch, MCP, Langchain using Claude., • Languages: Python (FastAPI, SQLAlchemy, Pandas) – We value your software engineering fundamentals and ability to learn over which specific languages you have experience in., • Data: PostgreSQL, Redis. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description People Placers Staffing is pleased to represent a premier, multi-national legal powerhouse in its search for a sophisticated legal practitioner to join its elite finance division. Our client is a recognized leader in navigating the complexities of the global credit markets, offering a platform that balances rigorous intellectual challenge with a collaborative professional culture. § Title: Senior Associate – Private Credit & Leveraged Finance § Practice Area: Debt Capital Markets / Direct Lending & Acquisition Finance § Location: New York, NY § Salary: $365,000 to $420,000 Base Salary (Subject to adjustment based on specific geographic location and candidate seniority, complemented by a premier benefits package and performance-based incentives). § Schedule: Full-time, Direct-Hire, Minimum 1,850 hours annual billed § The Firm: Our client is a distinguished AmLaw 50 firm with an expansive domestic and international footprint, consistently lauded by Chambers and Partners with Tier 1 and Tier 2 rankings across diverse financial sectors. Originally established on a foundation of regional excellence, the firm has evolved into a global titan, frequently recognized by Martindale-Hubbell for its unwavering commitment to ethical standards and legal mastery. The Finance & Financial Services practice is particularly renowned for its work with the world’s most influential institutional lenders, private credit funds, and business development companies. This firm provides an unparalleled environment for high-achieving attorneys to manage sophisticated, sponsor-backed transactions within a high-performance framework that emphasizes long-term professional development and direct client engagement. § Duties: The selected candidate will assume a central role in the execution of high-stakes financial transactions, acting as a primary point of contact for sophisticated lenders and private equity sponsors. The role demands an intricate understanding of the current credit market and the ability to navigate complex intercreditor dynamics. Specific responsibilities involve: ⨖ Orchestrating the legal architecture for sponsor-backed acquisition financings, including cross-border and multi-currency arrangements. ⨖ Drafting and negotiating definitive documentation for unitranche, first-out/last-out, and senior-stretch credit facilities. ⨖ Managing the lifecycle of syndicated debt offerings and asset-based lending structures for a diverse array of industry sectors. ⨖ Counseling clients on liability management transactions, including uptier exchanges, drop-down structures, and comprehensive covenant resets. ⨖ Advising on subordinated debt, mezzanine financing, and structured preferred equity co-investments. ⨖ Facilitating complex refinancing, recapitalizations, and amend-and-extend transactions for portfolio companies. § Qualifications: Candidates must meet the following stringent criteria to be considered for this senior-level opportunity: ⨖ Juris Doctor from an ABA-accredited law school with a record of academic distinction. ⨖ Active Bar admission in good standing in at least one of the following jurisdictions: New York, Florida, Massachusetts, Illinois, Georgia, North Carolina, or Texas. ⨖ Five (5) to seven (7) years of substantive experience in leveraged finance or private credit at a reputable national or international law firm. ⨖ Proven track record of leading complex debt transactions from inception through closing with minimal supervision. ⨖ Exceptional drafting capabilities regarding credit agreements, security instruments, and intercreditor agreements. § Skills: The ideal candidate will possess advanced professional attributes that demonstrate readiness for the rigors of this practice: ⨖ Prior experience within a "New York style" BigLaw finance environment, demonstrating the ability to thrive under high-pressure deadlines. ⨖ Mastery of current market terms for sponsor-backed finance and a deep understanding of evolving liability management strategies (LMEs). ⨖ Superior commercial awareness and the ability to translate complex legal risks into actionable business advice for sophisticated financial institutions. ⨖ Advanced communication skills and the interpersonal gravitas necessary to manage relationships with opposing counsel and C-suite client contacts. ⨖ A proactive, self-starting disposition with the leadership capacity to mentor junior associates and manage multi-disciplinary workstreams. !Notice¡ *This a job advertisement on behalf of our client and does not reflect the full job description for the role. Any qualified candidates are encouraged to apply. You will need to provide law school transcripts, a writing sample or deal sheets, and a cover letter in order to be considered for this role. This posting does not constitute an offer of employment. and the listed compensation details may vary by state or experience and will be discussed thoroughly during interview phase.

Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The Role The Platform Engineering team builds the systems, tooling, and operational standards that enable product teams to deliver software safely, frequently, and independently as the company grows.The Platform Engineer is responsible for contributing as part of this team, helping to lead the design, scalability, reliability, and operational excellence of the company’s platform infrastructure and core services. This role partners closely with Engineering, Product, and Cybersecurity to architect and evolve systems that support a highly available, secure, and resilient multi-tenant SaaS environment. As a senior individual contributor, the Platform Engineer applies advanced reliability and systems engineering principles to production environments, influencing architectural decisions and long-term platform strategy. This role balances speed of delivery with operational maturity, ensuring the platform scales effectively while maintaining high standards of performance, security, and uptime. This position reports to the Platform Engineering Manager. This position is full-time and fully remote. Candidates must be located in one of the following states: New York, New Jersey, Connecticut, California, Oregon, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, and South Carolina. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You * You bring deep experience designing and operating production-grade cloud platforms, ideally within Microsoft Azure, and have helped evolve infrastructure that supports reliable, highly available SaaS systems at scale. * You have led or played a major role in complex platform initiatives, such as Kubernetes adoption, infrastructure modernization, or safely decomposing monolithic systems while the business continued shipping product.. * You have strong experience building and evolving CI/CD pipelines, infrastructure-as-code frameworks, and deployment automation that allow engineering teams to ship software safely and frequently. * You think in terms of systems, reliability, and operational maturity, with experience designing observability practices, incident response processes, and service reliability standards that improve uptime and reduce operational friction. * You naturally raise the technical bar around you, documenting architecture decisions, mentoring engineers, and helping teams adopt stronger reliability, observability, and operational practices across production systems. What You'll Do * Lead the design, implementation, and evolution of reliable, scalable platform infrastructure supporting the company’s SaaS products and APIs. * Partner with engineering teams to evolve platform architecture over time, supporting safe system decomposition, service ownership, and scalable service boundaries. * Architect and maintain infrastructure-as-code frameworks and automation standards to ensure consistency and repeatability across environments. * Establish and refine monitoring, alerting, logging, and observability practices to proactively detect and resolve system issues. * Own and improve incident response frameworks, root cause analysis processes, and post-incident reviews, driving systemic improvements. * Define and guide service level objectives (SLOs), service level indicators (SLIs), and error budgets to support reliability-driven decision-making. * Partner with Engineering teams to embed reliability, operability, and scalability considerations into system architecture and deployment workflows. * Lead improvements to CI/CD pipelines, deployment automation, and platform tooling to increase developer velocity and reduce operational friction. * Drive capacity planning, performance optimization, and scaling strategies to ensure platform readiness for growth and peak usage. * Collaborate with Security and Engineering leadership to ensure platform resilience, data protection, and compliance best practices are embedded in infrastructure design. * Provide technical leadership and mentorship to engineers across teams, influencing platform standards and architectural best practices. * Contribute to documentation, operational standards, and runbooks to ensure consistency and knowledge sharing. * Participate in on-call rotations and provide production support as needed to maintain system uptime and reliability. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 8+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related roles within a SaaS environment. * Demonstrated experience designing and supporting highly available, production-grade cloud infrastructure. * Deep experience with cloud platforms (Azure preferred), networking, and distributed systems architecture. * Strong experience with infrastructure as code, automation frameworks, and CI/CD pipeline design. * Experience supporting multi-tenant SaaS systems with high availability, uptime, and performance requirements. * Experience with containerization and orchestration technologies (e.g., Kubernetes). * Experience leading complex technical initiatives or serving as a senior technical advisor across engineering teams. Essential Skills * Strong systems-thinking and architectural judgment, with the ability to design scalable, resilient solutions. * Advanced troubleshooting and root cause analysis skills across distributed systems. * Ability to influence technical direction without direct authority. * Strong written and verbal communication skills, including the ability to document architecture decisions and operational processes. * Ability to balance long-term platform strategy with short-term business priorities. * High level of ownership, accountability, and attention to detail. * Ability to work independently while collaborating effectively across Engineering, Product, and Cybersecurity teams. * Commitment to operational excellence and continuous improvement. Tools You’ll Use * Slack * Jira * Confluence * GitHub * Visual Studio Code / IDE * Datadog * AI-assisted development tools (GitHub Copilot) What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer * A base annual salary range of $170,000 - $195,000, commensurate with experience * Eligibility for annual bonus based on performance and company success * 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) * Company-paid life insurance * Traditional and Roth 401k plans * Paid parental leave * Learning & development opportunities with company reimbursement for eligible educational expenses * Working abroad opportunities * Volunteer days off * Flexible scheduling * Up to $300 reimbursement for initial equipment to set up hybrid work environment * Generous PTO and holiday schedule * Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing .

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. About the role We are looking for a Senior Full Stack Engineer to join the early team and help define how money moves on Fin. You will work closely with the CEO, CTO, and a small group of senior engineers to architect the automated testing infrastructure, CI/CD pipelines, and quality standards that let Fin handle millions of transactions safely and reliably. This is a highly autonomous role where you own projects end to end, from shaping the spec to deployment, and see your work in the hands of real users quickly. If you care about building simple products on top of complex systems and are excited about fixing how global payments work, we would love to talk. We value your time: our process focuses on practical system design and architectural discussions, not LeetCode grinding or unpaid take-home assignments. What you will do * Build and own the end-to-end testing framework for our React Native mobile app and Node.js backend (using tools like Maestro, Detox, Playwright, etc.). * Create test environments that simulate high latency, old devices, and offline-mode recovery to ensure Fin works on slow internet and fragmented device types. * Leverage AI tools to rapidly generate test cases and edge scenarios. * Optimize deployment pipelines (GitHub Actions) to ensure tests run fast and block bad builds automatically. * Build scalable, high performance services that handle real money movement with strong reliability and observability. * Maintain a high bar for code quality through clean abstractions, tests, and thoughtful code review. What you need to be successful * Deep experience with TypeScript and Node.js. We are mostly a TS shop with some pockets of Rust. * Production experience with React Native. Bonus points if you are familiar with the Expo ecosystem and modern mobile build pipelines. * Comfort configuring pipelines (GitHub Actions, CircleCI) and managing device farms (AWS Device Farm, BrowserStack, or self-hosted). * You understand that "functional" isn't enough. You test for performance, battery drain, and network constrained environments. * Deep comfort debugging across the stack, from database and infrastructure issues to front end performance problems. * Solid understanding of security best practices, particularly around authentication, authorization, and handling sensitive data. * A strong sense of code quality, including testing, readability, and maintainability in a fast moving environment. * Clear written and verbal communication, and an ability to work closely with non engineering partners. * High tolerance for ambiguity and the necessary shifting targets that exist in an early stage start up environment. Bonus points * Experience in EITHER traditional fintech integrations (Stripe, Plaid, ACH rails) OR blockchain infrastructure (especially Solana in a production environment). * Prior startup experience where you were an early engineer and had meaningful product ownership. * Experience setting up QA from scratch in a startup Compensation Range: $125K - $250K

Job DescriptionSoftware Engineer New York, NY About Us We are a fast-growing technology company founded by alumni of leading national security and privacy-focused tech firms. Our mission is to redefine mobile connectivity by putting users in full control of their digital identity. Were building a privacy-first wireless platform that protects users most personal information while enabling them to do more—not less. Backed by top-tier investors, we are expanding our team of innovators passionate about security, resiliency, and global connectivity. The Opportunity As a Software Engineer, you will build the core systems that secure end-to-end mobile communications. Your work will directly impact how users are protected across the communications stack—from device-level safeguards to hardened network infrastructure. Youll help develop systems that detect and mitigate malicious signaling attacks, identify fake cell towers, prevent spam and smishing campaigns, and deliver transparent security protections to users. This is high-impact engineering with real-world consequences. What You'll Do * Design & Integrate: Build foundational telecommunications infrastructure that ensures secure, resilient connectivity. * Own the Lifecycle: Take end-to-end ownership of critical components—from design through deployment. * Raise the Bar: Contribute to high engineering standards through code reviews and best practices. * Enable Scale: Develop reliable, high-performance systems that empower other teams to build securely and efficiently. What Were Looking For * 4+ years of professional software engineering experience * Strong foundation in Computer Science or related technical field * Fluency in Golang, Rust, Java/Kotlin, or Python * Solid understanding of algorithms, data structures, distributed systems, and cloud infrastructure * Strong written and verbal communication skills * US Citizenship (Required) / Active U.S. security clearance or eligibility Why This Role * Mission-driven work at the intersection of privacy, security, and national resilience * Real ownership and autonomy * Fast-moving, builder-oriented culture * Backed by top-tier investors * Opportunity to shape foundational infrastructure in a critical domain

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work