Build, integrate, enhance, and support production-grade Generative AI and LLM applications. Develop AI agents, RAG capabilities, APIs, and enterprise integrations using JavaScript and TypeScript. Apply prompt engineering, model evaluation, monitoring, security, authentication, and responsible AI practices. Troubleshoot complex issues across application, integration, model, and platform layers while supporting CI/CD, testing, deployments, observability, and production operations.
AI Engineer
Required Qualifications
- 8+ years of software engineering experience, including strong hands-on development in JavaScript/TypeScript, with recent experience building, enhancing, and supporting Generative AI/LLM-based applications in production environments.
- Experience developing, enhancing, and supporting production-grade enterprise applications or platforms.
- Hands-on experience building Generative AI / LLM-based applications and capabilities.
- Experience integrating applications with Large Language Models (LLMs), AI services, and enterprise APIs.
- Understanding of key GenAI concepts including:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- AI agents and agentic workflows
- Tool/function calling
- Context and conversation management
- Model evaluation and monitoring
- Experience building and consuming REST APIs and integrating with enterprise systems and data sources.
- Ability to troubleshoot complex production issues across application, integration, AI/model, and platform layers.
- Experience with modern software engineering practices including source control, automated testing, CI/CD, monitoring, and production deployments.
- Understanding of security, authentication, authorization, data privacy, and responsible AI considerations for enterprise AI applications.
Preferred Qualifications
- Experience working on an enterprise AI platform or shared GenAI platform.
- Experience developing AI applications using JavaScript/TypeScript-based frameworks and SDKs.
- Experience building or supporting AI agents and multi-step AI workflows.
- Experience with RAG, embeddings, semantic search, or enterprise knowledge retrieval.
- Familiarity with AI observability, model evaluation, prompt/version management, usage monitoring, and cost optimization.
- Experience integrating AI capabilities with multiple enterprise applications and APIs.
- Familiarity with cloud-based AI services and foundation models.
- Experience supporting business-critical applications in a production environment.
Core Skills
JavaScript / TypeScript | Generative AI | LLM Integration | AI Agents | RAG | API Development & Integration | Prompt Engineering | Production Support | AI Observability | Enterprise Application Development
Compensation, Benefits and Duration
Minimum Compensation: USD 50,000
Maximum Compensation: USD 175,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads outbound product strategy for Atlassian Service Collection’s enterprise go-to-market plays. Converts customer, competitive, security, compliance, and field evidence into product priorities, operating plans, executive recommendations, playbooks, and scalable mechanisms. Aligns Product, Engineering, Sales, Marketing, Security, Legal, Finance, and Customer Success stakeholders without formal authority, while supporting competitive displacement, enterprise transformation, trust readiness, and customer adoption.
Top Skills:
Access ControlData ResidencyFedrampGdprHipaaIso 27001Pci DssResponsible Ai GovernanceSoc 2
Digital Media • Information Technology • News + Entertainment
Sell and service local advertising accounts to meet annual sales goals. Prospect and develop new customers, prepare market research and proposals, manage schedules and contracts, maintain CRM records, support collections and sales forecasts, and collaborate across departments. Must handle variable schedules including nights and weekends.
Top Skills:
CRMFreewheel
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate coverages and products, and converts prospects into policyholders. The role includes paid Property and Casualty licensing and sales training, customer communication, lead conversion, and adherence to remote-work and schedule requirements.
Top Skills:
PcProperty & Casualty Insurance LicensingWired High-Speed Internet
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
