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
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports healthcare providers and staff with reimbursement, payer coverage, coding, billing, and patient access issues for Pfizer products. Educates customers on payer policies, financial assistance, hub programs, and coverage changes; coordinates with patient support programs; resolves prescription access questions; and provides market insights to Pfizer leadership. The role requires compliant stakeholder communication, relationship management, strategic planning, and approximately 50% travel throughout the assigned Massachusetts territory.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Supports appropriate patient access to Pfizer products by educating healthcare providers and office staff on payer coverage, reimbursement policies, prior authorization, specialty pharmacy coverage, patient assistance programs, and Hub services. Acts as the regional subject matter expert on reimbursement issues, resolves patient access questions, provides market insights to Pfizer leadership, and collaborates with internal stakeholders while maintaining strict compliance and confidentiality.
Top Skills:
Case Notes SystemsCo-Pay Assistance ProgramsGovernment Payment SystemsHcp PortalsProvider/Carrier NetworksSpecialty Drug Reimbursement
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Field-based specialty pharmaceutical sales role promoting gastroenterology products across an assigned Georgia territory. Responsibilities include engaging healthcare professionals, delivering compliant product and disease-state messaging, supporting formulary access and patient reimbursement, building relationships with key opinion leaders, prioritizing accounts, and collaborating with cross-functional teams. The role requires pharmaceutical or medical device sales experience, strong knowledge of specialty therapies and reimbursement, a valid U.S. driver's license, and travel throughout the territory.
Top Skills:
Microsoft TeamsVeeva Engage
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
