Backend AI Engineer

About this role

• Must be able to work in Pacific Time Zone hours

Job Description
Join our Systems Engineering team to help build next-generation AI tools that improve engineering productivity, workflow automation, and documentation processes. This role is focused on developing internal AI applications used by Systems Engineers and R&D teams.


Responsibilities

• Build AI agents and agentic workflows.
• Develop RAG-based applications.
• Create scalable backend services and APIs.
• Integrate data from multiple sources.
• Implement vector database solutions.
• Develop automated documentation and requirements-generation capabilities.
• Collaborate closely with Systems Engineering, validation, and other cross-functional teams to deliver practical AI solutions.

Essential Skills

• Hands-on experience building production AI applications using Python and modern GenAI frameworks.
• Experience creating AI agents, agentic workflows, and tool-calling systems.
• Strong expertise with RAG architectures, prompt/context engineering, vector databases, and retrieval techniques.
• Experience integrating multiple data sources and providing grounded context for AI-generated outputs.
• Experience developing scalable APIs and backend services that support AI applications.

Additional Skills & Qualifications

• 2+ years of relevant GenAI/LLM experience; less overall experience may be considered if AI skills are strong.
• Strong software engineering foundation with Python development experience.
• Experience deploying AI applications in cloud environments.
• Strong communication and collaboration skills with cross-functional engineering teams.
• Ability to work in a fast-moving, highly ambiguous prototype environment.
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or related STEM discipline preferred.
• Experience with Docker, Kubernetes, Langsmith, PyTorch, and REST APIs.
• Experience with FDA and ISO standards.

**Work ...