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Job Description Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK, • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms, • Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable., • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • Preferred Tech Stack:, • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform), • Prior experience with GCP is a plus What We Offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description At Coinme, we're redefining access to financial services in a digital world. By combining the cutting-edge power of blockchain technology with everyday simplicity, we make digital currencies accessible and usable for all. As the world's largest network of cryptocurrency kiosks with over 40,000 locations nationwide, we're breaking down barriers to crypto adoption through our seamless mobile app, secure digital wallet, and DeFi integrations. Beyond our consumer offerings, we're also the infrastructure powering the crypto revolution for businesses. Through our enterprise Crypto-as-a-Service (CaaS) platform, we enable businesses to launch crypto capabilities in weeks, not months. Our modular, API-first infrastructure provides everything from KYC and payment processing to liquidity and custody solutions—all fully licensed and compliant. We're big enough to lead the charge in decentralized finance but small enough that your ideas will make waves. Every role at Coinme contributes to building a financial future where everyone has the tools to thrive. At Coinme, your growth fuels our mission. Together, we RISE. Claude Code Platform Lead Own the strategy, systems, and training that turn AI-assisted development from an experiment into Coinme's engineering superpower. You will be the central force multiplier for our 35+ engineer organization—building the skills, workflows, and shared infrastructure that enable every team to ship faster and better with Claude Code. This is not a support role. You will directly shape how Coinme engineers build software every day. What You'll Be Working On (Your Impact): • Design, build, and maintain a centralized repository of CLAUDE.md project context files across all Coinme repositories, ensuring Claude Code understands our architecture, coding standards, compliance requirements, and domain patterns out of the box, • Create custom Claude Code slash commands, hooks, and workflows tailored to Coinme's stack—including compliance-aware code generation, automated test scaffolding, and review automation for our CQRS/Event Sourcing architecture, • Implement and manage the GitLab CI/CD integration for Claude Code, enabling automated merge request creation from issues, AI-assisted code review in pipelines, and commit attribution across all engineering teams, • Build and deliver structured training programs to close adoption gaps across the engineering org, with a focus on the highest-leverage skills: headless/CI-CD workflows, hooks and commands, and test-driven development with Claude Code, • Monitor engineering adoption metrics via the Claude Enterprise Analytics API, identify engineers and teams that are underutilizing the tool, and design targeted interventions to accelerate their productivity, • Develop and maintain a living playbook of best practices, prompt patterns, and workflow recipes that codify what Coinme's top Claude Code users (power users generating 5,000+ tool accepts) do differently, • Partner with Engineering Leadership to define proficiency benchmarks, run competency assessments, and measure ROI of AI tooling investment across the organization, • Evaluate and integrate emerging Claude Code capabilities—including MCP server integrations, multi-file editing workflows, and agentic coding patterns—as they become available, • Work within and build tooling for our technology stack:, • GitLab (repos, CI/CD pipelines, merge requests), • Jira / Atlassian (project management, sprint tracking), • Claude Code CLI and VS Code extension, • Claude Enterprise Analytics API, • Java 17+ / Spring Boot / Reactive Java (understanding, not necessarily writing daily), • Kubernetes, Helm, Argo platform, • Multi-repo microservice architectureWhat We're Looking For:, • 4+ years of experience as a software engineer with hands-on production coding experience, • Deep, daily-driver proficiency with Claude Code and comparable AI coding assistants (Cursor, GitHub Copilot) — you should be a power user, not someone who's "tried it a few times", • Experience implementing and integrating with agentic harnesses, e.g. Open Claw, Hermes, Eigent, etc., • Experience building developer tools, internal platforms, CLI utilities, or developer experience infrastructure, • Demonstrated ability to teach technical concepts to engineers at varying skill levels — through documentation, workshops, pairing sessions, or recorded content, • Experience with CI/CD pipeline design and automation (GitLab CI preferred), • Strong understanding of Git workflows, code review processes, and merge request automation, • Experience working with REST APIs for data integration and dashboard building, • Comfort navigating and understanding large, multi-repo codebases without necessarily being an expert in every language or framework, • Excellent written communication — you'll be writing CLAUDE.md files, training docs, and playbooks that need to be clear enough for both humans and AI to understand, • Self-directed and proactive — this is a one-person function where you set the agenda based on data and engineer feedbackNot Required, But Nice to Have:, • Claude Certified Architect (CCA), Foundations credential from Anthropic, • Familiarity with Java / Spring Boot / CQRS / Event Sourcing patterns (Coinme's primary backend stack), • Experience building analytics dashboards or working with usage telemetry data, • Background in DevRel, developer advocacy, or engineering enablement, • Experience in fintech, crypto, or regulated industries where compliance-aware code generation adds particular value, • Experience running hackathons, training programs, or engineering culture initiatives Check out our AI Usage Guidelines to understand how we approach AI tools during the hiring process.

Job DescriptionDescription: Hybrid 4 days on-site in Jersey City, NJ Our client seeks a Full Stack Engineer to design, build, and support scalable enterprise applications using Java, Spring Boot, and Angular. The engineer will work across backend services and responsive front-end components, collaborating with cross-functional teams to deliver high-quality software. The role includes API development, CI/CD support, and participation in Agile ceremonies to drive reliable releases and continuous improvement. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $85.00 to $89.00/hr. w2 JN -052026-107023 Responsibilities: • Design, develop, test, and maintain full stack applications using Java and Angular., • Build and enhance RESTful APIs and backend services., • Develop responsive, user-friendly front-end components and workflows in Angular., • Collaborate with product owners, designers, QA, and other engineers to deliver business solutions., • Participate in architecture discussions, code reviews, and technical design sessions., • Troubleshoot application issues and optimize performance across front-end and back-end layers., • Write clean, maintainable, and well-documented code., • Support CI/CD pipelines, deployments, and environment stability., • Contribute to Agile ceremonies including sprint planning, stand-ups, and retrospectives. Experience Requirements: • 8-10+ years of software development experience., • Strong hands-on experience with Java and Spring Boot for backend service development., • Solid experience with Angular, TypeScript, HTML, and CSS for modern web applications., • Experience building and consuming REST APIs., • Familiarity with SQL and relational databases such as Oracle, PostgreSQL, or SQL Server., • Understanding of object-oriented design principles and software engineering best practices., • Experience with Git and source control workflows., • Knowledge of Agile development methodologies., • Experience with microservices architecture (preferred)., • Familiarity with cloud platforms such as AWS, Azure, or GCP (preferred)., • Knowledge of containerization tools such as Docker (preferred)., • Experience with automated testing frameworks for backend and frontend applications (preferred)., • Understanding of security best practices for web applications and APIs (preferred). Education Requirements: • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionSenior Gen AI EngineerJob at a Glance • Title: Senior Gen AI Engineer, • Location: Paramus,NJ / Hybrid, • Contract: W2 only, 6-12 month contract with potential for extension or conversion to full time with either the client or CEI, • Pay: $90-95/hour + optional medical, dental, vision, 401(k) matchOverview We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI. The ideal candidate brings 10–15 years of broad software engineering experience, with the last 4+ years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem — including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI — alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. Key Responsibilities • Large & Small Language Model Engineering Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. Work with open-source/self-hosted LLMs including Mixtral (Mistral AI). Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments. Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks., • Google AI & Workspace Integration Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex AI Vector DBs for semantic search and retrieval., • Design & Planning Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Design UI/UX prototypes in Figma for AI-powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download., • Development Frameworks & Tools Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Deploy models locally with Ollama or at scale with vLLM for efficient inference. Track experiments, metrics, and results with MLflow or Weights & Biases. Manage code and data versioning with Git., • Vector Databases & Semantic Search Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval., • Backend Development Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee., • Frontend Development Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. Prototype and plan UI/UX workflows using Figma., • Development Tools & Code Quality Write and debug code in VS Code with Python and GitHub Copilot extensions. Leverage GitHub Copilot for AI-assisted code suggestions and productivity. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint., • Testing & Quality Assurance Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics., • Deployment & Infrastructure Orchestrate containers at scale with Kubernetes (K8s), and Google GKE. Automate CI/CD pipelines using GitHub Actions or GitLab CI. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference., • LLM Monitoring & Observability Monitor LLM performance and usage with LangSmith and Weights & Biases. Track and optimize AI infrastructure costs using OpenMeter and custom dashboards. Set up continuous evaluation pipelines to ensure ongoing model quality and reliability. Monitor application and model performance end-to-end with LangSmith observability tools.Required Qualifications, • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.Preferred Qualifications, • Google Cloud Professional certifications (Professional ML Engineer, Professional Cloud Architect)., • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. About CEI: As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements. #ZR #INDGEN

Job Description Fullstack Software Engineer | AI-Native Healthcare Platform Location: New York, NY (In-Person)Experience: 3–7 Years Comp Range: $220,000 - $250,000 + Equity The Opportunity TechStaffers is partnering with a high-growth, venture-backed startup with $4 million in funding that is redefining how healthcare providers handle administrative workflows. This isn't just another SaaS dashboard; they are building an agentic AI platform designed to automate the complex, manual processes inherent in Revenue Cycle Management (RCM). As an early engineer, you will work on the frontier of AI application, building voice AI, browser agents, and generative features that interact directly with human operators. You'll be tasked with taking products from 0-to-1 and scaling them from 1-to-X in a space that is desperate for modernization. What You'll Do • Architect Agentic Workflows: Partner directly with customers to prototype and productize end-to-end solutions using LLMs, voice AI, and browser automation., • Fullstack Ownership: While slightly backend-leaning, you will build the React/Next.js interfaces and the robust Python backends that power these autonomous agents., • Customer-Centric Engineering: Develop deep domain expertise in healthcare billing to make high-level product decisions and empathize with the end-user., • Bridge AI and UX: Solve the unique challenge of how humans and AI agents interact within a seamless software environment. The Tech Stack • Backend: Python (Primary), • Frontend: React, Next.js, TypeScript, • Infrastructure: AWS Who You Are We are looking for a high-agency engineer who thrives in the "controlled chaos" of a high-growth startup environment. Required Qualifications: • Startup Pedigree: 3–7 years of experience, specifically at high-growth, high-caliber startups (e.g., the early days of Stripe, Samsara, or similar)., • Fullstack Proficiency: Strong Python skills with solid experience in React and Next.js. You should be comfortable leaning into the backend but capable of shipping polished UI., • Proof of Excellence: You have a track record of high achievement (e.g., Neo Scholar, experience at a top-tier firm, or a degree from a top 30 university)., • Zero-to-One Experience: You have a history of building and launching products from scratch., • The "In-Person" Mindset: You value the velocity of working side-by-side with a tight-knit team in a New York office. Preferred Traits: • Industry Interest: A genuine excitement to solve "unsexy" but high-impact problems in healthcare billing., • Autonomous & Direct: You enjoy working directly with customers to gather feedback and iterate quickly. Note on Culture Fit: We are looking for builders, not maintainers. If your experience is exclusively in "Big Tech" or you have a history of frequent job-hopping (less than 18 months per role), this likely won't be the right fit. TechStaffers is a technical recruiting company partnering with VC-funded start-ups across the United States. More information at www.TechStaffers.com.

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionBenefits: • 401(k) Software Engineer (Java/Full-Stack) Location: Fort Lee, NJ (Hybrid - 3 days/week in-office) Interview Mode: In person Interview Core Responsibilities • Create, develop, and sustain high-performance applications utilizing Core Java, Spring, and Spring Boot., • Construct and deploy scalable services within AWS environments while implementing effective data queries through GraphQL., • Employ JOLT for JSON-to-JSON transformations and XSLT for XML processing to guarantee smooth data integration across various systems., • Leverage Python for automation, scripting, or additional service development as required., • Collaborate closely with cross-functional teams to convert business requirements into technical specifications. Technical Qualifications • Demonstrated expert-level proficiency in Core Java and the Spring Framework, including Spring Boot, Spring MVC, and Spring Security., • Established experience with GraphQL and Amazon Web Services (AWS)., • A robust understanding of data mapping and transformation tools, particularly JOLT and XSLT., • A strong command of Python for backend logic or automation tasks. Requirements • At least 12 years of professional experience in software development., • Outstanding verbal and written communication abilities; capable of articulating intricate technical concepts to stakeholders without a technical background.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Role: We’re growing quickly and looking for a Backend Engineer who’s passionate about building scalable systems and enjoys bridging the gap between backend development and DevOps infrastructure. If you love working across services, solving complex problems, and shipping code that directly impacts real-world operations, we want to meet you. What you’ll be doing: Design, build, and maintain backend services and APIs using Node.js and TypeScript Collaborate with frontend engineers (React) to build clean, reliable integrations across the stack Manage and optimize PostgreSQL databases for performance, scalability, and reliability Develop infrastructure and deployment automation on AWS and GCP Contribute to CI/CD pipelines and DevOps tooling for faster, safer releases Monitor and improve system performance, uptime, and observability Work cross-functionally with product, design, and operations to turn requirements into production-ready features Help evolve our architecture as we scale to handle increasing traffic and data The qualifications you need: 3+ years of experience as a backend or full-stack engineer Strong proficiency with Node.js and TypeScript Experience building and maintaining RESTful or GraphQL APIs Hands-on experience with PostgreSQL or other relational databases Solid understanding of AWS and/or GCP infrastructure Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code tools (Terraform or similar) Comfort working in a collaborative startup environment, taking ownership and moving quickly Strong communication skills and a mindset of continuous improvement. Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company.

Job Description Position Title: Sr AI Engineer Location: Paramus, NJ Duration: 06 Month Contract Status: Hybrid Employment Type: Contract role on W-2 through Above and Beyond Talent Acquisition, Inc. (A&B Talent) Pay Range: USD $135 an hour W2 Client Info / Who they are: Above and Beyond Talent Acquisition proudly represents our Client, a global leader in water, waste, and energy management. The client offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting, and resource recovery. The client helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. The client has approximately 10,000 employees working at over 350 locations across the continent. Requirements / Who we are looking for: • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph., • Preferred Qualifications, • Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect), • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. Performance Objectives / What you'll be doing: 1. Large & Small Language Model Engineering • Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks., • Work with open-source/self-hosted LLMs including Mixtral (Mistral AI)., • Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments., • Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA., • Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development., • Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. 1. Google AI & Workspace Integration • Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse., • Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK)., • Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping., • Utilize Google Cloud Platform (GCP) services including:, • Vertex AI for ML model training, tuning, and deployment, • GKE (Google Kubernetes Engine) for container orchestration, • Cloud Run for serverless deployment, • Cloud Functions for event-driven AI tasks, • Vertex AI Vector DBs for semantic search and retrieval 1. Design & Planning • Lead requirements gathering using Confluence for documentation and team collaboration., • Create detailed system architecture diagrams and AI workflows using Lucidchart., • Design UI/UX prototypes in Figma for AI-powered application interfaces., • Manage project delivery and sprint planning using Jira., • Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows., • Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing., • Leverage Hugging Face Model Hub for model comparison, selection, and download. 1. Development Frameworks & Tools • Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph., • Build multi-agent systems with Semantic Kernel, and LangGraph., • Manage and optimize prompts using LangSmith and PromptLayer., • Deploy models locally with Ollama or at scale with vLLM for efficient inference., • Track experiments, metrics, and results with MLflow or Weights & Biases., • Manage code and data versioning with Git. 1. Vector Databases & Semantic Search • Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB., • Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. 1. Backend Development • Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js)., • Manage and secure APIs using Mulesoft, Apigee. 1. Frontend Development • Build modern user interfaces using React or Angular., • Utilize Material-UI for consistent, accessible, and modern UI components., • Prototype and plan UI/UX workflows using Figma. 1. Development Tools & Code Quality • Write and debug code in VS Code with Python and GitHub Copilot extensions., • Leverage GitHub Copilot for AI-assisted code suggestions and productivity., • Manage source code with GitHub or GitLab., • Enforce code quality and standards using SonarQube, ESLint, and Pylint. 1. Testing & Quality Assurance • Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation., • Use LangSmith Evaluators for prompt testing and hallucination detection., • Write and execute unit tests using pytest., • Ensure output quality and reliability using LangChain Evaluators and custom metrics. 1. Deployment & Infrastructure • Orchestrate containers at scale with Kubernetes (K8s), and Google GKE., • Automate CI/CD pipelines using GitHub Actions or GitLab CI., • Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. 1. LLM Monitoring & Observability • Monitor LLM performance and usage with LangSmith and Weights & Biases., • Track and optimize AI infrastructure costs using OpenMeter and custom dashboards., • Set up continuous evaluation pipelines to ensure ongoing model quality and reliability., • Monitor application and model performance end-to-end with LangSmith observability tools. Perks of working with US / What We offer: • Competitive Salary., • Health, dental, and vision insurance., • Company 401K plan The salary, other compensation, and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. “Above and Beyond Talent is an equal opportunity employer and staffing firm.”

Job Description WHO WE ARE Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system. Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis. THE PRODUCT We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health. The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with! THE POSITION As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature. YOU CAN EXPECT • An agile, diverse and multidisciplinary team., • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time., • A place to look at things differently, challenge and offer solutions., • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture., • A fast-paced environment of continuous improvement, optimised for impact. IN THIS POSITION, YOU WILL This position is for full time, 100% remote work. We would expect you to: • Always put the user first., • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker., • Continuously iterate and improve existing single cell pipelines and features., • Receive and incorporate feedback from customers and colleagues., • Perform troubleshooting of customer analyses., • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team., • Experiment, test, try, fail and learn continuously., • Think like an owner, and take pride in your work., • Help and mentor teammates. FOR THIS POSITION, WE LOOK FOR • Someone excited about building tools that will be used by thousands of single cell researchers., • A track record of designing, building and improving data analysis software that solves user problems., • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level., • Fluent in Python and R., • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat., • Competency working with container-based cloud applications, ideally on AWS., • Strong data visualization skills., • Significant experience in conducting code reviews and providing feedback to others., • Experience and desire to work as part of a close-knit team., • Experience using version control systems such as Git/GitHub is preferred., • Proficiency building pipelines with Nextflow or similar frameworks is preferred., • Experience of integrating AI tools into development workflows is preferred., • Knowledge of and/or interest in web development is preferred., • Experience working with Bash is preferred. JOB CONDITIONS • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided., • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email. Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law. As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably. To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including: • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents., • A 401(k) program with no waiting period to participate, • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse., • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses, • A transportation program (Seattle only), • 12 paid holidays annually and a winter holiday break, • A generous time off policyMarket Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.$100,000—$135,000 USD

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