Minfy
Senior AI / LLM Engineer
McLean, Virginia · Senior
Sponsorship not specifiedDetected 40 days ago
PythonBackend DevelopmentCode ReviewVector DatabasesAWSCloud PlatformsDockerCI/CDOAuthMachine LearningData EngineeringLLMsRAGMLOpsCollaboration
About the role
- Retrieval augmented generation over large, real-world enterprise data is a prominent part of the work, alongside platform integration and LLM-driven analysis.
- You will set technical direction within your area, make sound trade-offs under ambiguity, and help raise the bar for engineers around you.
Responsibilities
- Design and build data ingestion and indexing pipelines that reliably capture content, map identities across systems, and support incremental/resumable sync at scale.
- Design permission-bounded access and correct attribution in multi-user contexts, so the system never surfaces data a user could not already access.
- Establish evaluation practices for retrieval quality and answer correctness, and use them to drive iteration and catch regressions.
- Add observability, logging, and audit trails, and lead debugging of quality and performance issues in production.
- You will work hands-on across the modern AI engineering stack - retrieval, integration, evaluation, and production hardening - and take ownership of significant pieces of the system from design through deployment.
Requirements
- Must be a U.S. Person (required for access to an ITAR / export-controlled environment)
- Bachelor's or advanced degree in Computer Science, Engineering, or a related field - or equivalent practical experience.
Nice to have
- Strong experience integrating third-party APIs into backend services, including authentication flows (OAuth/SSO) and webhook/event-driven patterns.
- Hands-on experience with LLM APIs (e.g., Anthropic, OpenAI, or similar) and orchestration frameworks.
- Experience with knowledge graphs or entity-relationship modeling for retrieval.
- Familiarity with observability and tracing for LLM or data pipelines.
- A rigorous approach to data access, permissions, and handling sensitive information.
- Experience taking systems to production on a major cloud platform (AWS preferred), and a track record of owning features independently.
- Experience with Amazon Bedrock or other managed LLM platforms.
- Experience integrating with enterprise collaboration platforms (chat, wikis, ticketing) via their APIs.
Company info
- We are hiring a Senior AI / LLM Engineer to design and build LLM-powered features and applications across a range of use cases.
Visa & Work Authorization
- Eligibility: Must be a U.S. Person (required for access to an ITAR / export-controlled environment)
This listing is sourced directly from Minfy's careers page and normalized into a canonical job model.