Build and improve generative AI applications using LLMs, RAG workflows, APIs, databases, and backend components. Write tests, debug failures, improve performance and reliability, and collaborate on integration, deployment, and monitoring. The role also involves connecting models to external data sources and supporting scalable, reliable AI systems.
Why Join Us
Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent costly downtime. Our technology supports more than 1,200 facilities, with over 100,000 sensors deployed globally. A Y Combinator company, we’ve been recognized on the Forbes AI 50, named a G2 Leader and ranked No. 24 on Deloitte’s Technology Fast 500 in North America. We’re building technology that keeps industry running and looking for people who want to help shape what comes next.
Generative AI at Tractian
Our engineers build and improve applications powered by large language models (LLMs). The work combines retrieval-augmented generation (RAG), API integration and backend engineering, with a focus on testing, scalability and reliable performance.
What You Will Do
Work with our engineering team to develop and improve an AI application. You’ll help connect models with data and APIs, test functionality and troubleshoot issues that affect performance and reliability.
Responsibilities
- Build backend components that connect LLMs with data sources and APIs.
- Help implement and improve retrieval-augmented generation (RAG) workflows.
- Write tests, debug failures and improve application performance and reliability.
- Collaborate with software and product teams to support integration, deployment and system monitoring.
Requirements
- Pursuing or recently completed a bachelor’s, master’s or PhD in Computer Science, AI, Data Science, Engineering or a related technical field.
- Strong programming skills and experience building and debugging backend applications with APIs, databases and Git.
- A working LLM project you can explain, including your contribution, technical decisions and testing approach. Coursework, research and independent projects are welcome.
- Understanding of retrieval-augmented generation (RAG) and how to connect language models with external data.
Helpful Experience
Experience with TypeScript or Go, vector databases, PyTorch, Docker or cloud deployment. Familiarity with LLM inference or model optimization is a plus.
What You Will Gain
- Hands-on experience building LLM applications with RAG and API integrations.
- Engineering mentorship on backend development, testing and system reliability.
- Exposure to how AI applications are deployed, monitored and maintained.
Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
Leads cost optimization consulting for energy operators through diagnostic analysis, benchmarking, cost reconciliation, and executive briefings. Evaluates drilling, completion, production, vendor, and operational cost drivers; builds datasets, dashboards, workflows, and cost models; validates claims and identifies data integrity issues. Communicates findings to C-suite and operations leaders, supports client engagements and business development, mentors junior staff, and partners with product, sales, research, and customer success teams. Regular client-site travel and extended hours may be required.
Top Skills:
AIEnverus IntelligenceEnverus PrismExcelMicrosoft AccessPower BIPythonSpotfireSQLTableauVBA
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Assess and monitor the risk and control environment for MetLife’s U.S. customer service and operations organization. Responsibilities include maintaining risk and control data in OpenPages, executing non-financial risk assessments and control reviews, identifying issues, implementing control metrics, evaluating AI and automation opportunities, and producing executive and detailed risk reporting. The role requires strong relationship management, communication, independent execution, and the ability to manage shifting priorities across global partners.
Top Skills:
Artificial IntelligenceClaudeGrc TechnologyMicrosoft CopilotExcelMicrosoft PowerpointOpenpagesPower BIProcess AutomationVisio
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Leads pricing advisory and sales operations for B2B SaaS, including deal structuring, commercial strategy, value-based pricing, financial modeling, price book management, enablement, and pricing optimization. Partners cross-functionally with Sales, Product, Marketing, Finance, Deal Desk, and Legal to improve commercial processes, pricing decisions, and sales productivity.
Top Skills:
SalesforceSalesforce CpqZuora
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
