Applied AI Engineer - Federal (TS Required)
Core
Research and deploy Gen AI/ML solutions for customers, bridging business needs with technical implementation while standardizing solutions into internal tooling.
Role type
Applied AI Engineer (Customer-facing IC)
Builds
Custom Gen AI and machine learning solutions (RAG, fine-tuning, agentic workflows) for enterprise clients
Domain
Artificial Intelligence / Machine Learning / National Security
Deliverable
production ML models | product features
Required skills
Python (software engineering, type safety, testing), Applied AI stack (classical ML, deep learning, foundation models), RAG/vector tooling, LLM orchestration (agents/workflows), data evaluation workflows, stakeholder management
Preferred skills
Customer-facing AI/ML experience, strategic initiative leadership, federal RFP/RFC drafting, experience with Civilian/DOD/NATSEC agencies
Technologies
Python, PyTorch, Hugging Face Transformers, FAISS, pandas, Spark, Chroma, Weaviate, LlamaIndex, LangGraph, CrewAI, FastAPI, Ray, Airflow, pytest, mypy, pydantic
Responsibilities
Partner with customers to scope, develop, and deploy Gen AI/ML solutions; Develop RAG, fine-tuning, and agentic workflow systems; Create evaluation workflows for model reliability; Manage relationships with customer leadership; Collaborate with pre-sales to map needs to capabilities; Standardize solutions into internal tooling; Conduct enablement workshops for customers
Seniority
Mid-Senior, hands-on IC with customer-facing focus