AI / ML Engineer
Core
Design, build, and optimize intelligent systems using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to solve complex mission and enterprise challenges for the US federal government.
Role type
Senior IC AI/ML Engineer (GenAI & RAG)
Builds
Production-grade LLM-powered applications, RAG pipelines, and intelligent systems for classification, summarization, Q&A, and workflow automation.
Domain
US Federal Government / Defense & National Security / Generative AI
Deliverable
production ML models
Required skills
LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG frameworks, Python, ML/DL frameworks (PyTorch, TensorFlow, HuggingFace), Cloud platforms (AWS/Azure), Docker, Algorithms, Data Structures, APIs, Distributed Systems
Preferred skills
MLOps (MLFlow/BentoML), CI/CD, Data Governance, Model Risk Management
Technologies
Python, PyTorch, TensorFlow, HuggingFace, AWS, Azure, Docker, MLFlow, BentoML
Responsibilities
Design and maintain RAG pipelines (document ingestion, embedding, vector storage, retrieval, orchestration); Build and optimize LLM applications for classification, summarization, Q&A, and automation; Implement traditional ML models (regression, clustering, feature engineering); Integrate cloud-native services and containerized workloads; Collaborate with cross-functional teams to translate requirements into scalable solutions.
Seniority
Senior, hands-on IC