AI / ML Engineer
Core
Hands-on development and support for integrating an Agentic AI system with existing data platforms, focusing on data integrations, query execution, and workflow orchestration.
Role type
Mid-level AI/ML Engineer (Agentic AI Systems)
Builds
Deployable Agentic AI services, retrieval pipelines, and backend microservices for US federal government clients.
Domain
Defense, national security, and public safety technology.
Deliverable
production ML models | product features | infrastructure
Required skills
Python, API/microservices development, cloud services, DevOps tools, data integration, query optimization, authentication/authorization implementation
Preferred skills
Model Context Protocol, agent frameworks, vector databases, SQL engines, distributed systems, RAG
Technologies
Python, APIs, microservices, cloud services, vector stores, data lakes
Responsibilities
Develop retrieval pipelines (metadata indexing, embeddings, hybrid search); Package the system into deployable services; Develop agent tools for structured queries and workflow actions; Build ingestion and indexing pipelines into the data lake and vector store; Implement APIs, microservices, and backend logic; Optimize query routing, caching, and grounding strategies; Integrate authentication, authorization, and auditing; Support prototyping, demos, and pilot deployments.