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Generative & Agentic AI Engineer
Babel Street
AI AgentFull-timeHybridReston, VA / Somerville, MA
About this role
Babel Street is hiring a Generative & Agentic AI Engineer to build production-grade AI systems that combine large language models with retrieval-augmented generation, multi-agent workflows, and enterprise-grade reliability.
In this execution-focused role you will design and implement LLM pipelines, build retrieval systems and vector search infrastructure, develop autonomous agent workflows for complex analytical tasks, and integrate AI into Babel Street's suite of intelligence and analytics products. You'll work closely with product and research teams to deliver AI capabilities that serve defense, intelligence, and enterprise customers.
Babel Street operates at the intersection of AI and national securityβyour work will have meaningful impact on how analysts make sense of complex, multilingual, and multimodal data streams. This is an opportunity to build agentic AI systems with real operational stakes and a team that takes both engineering quality and mission seriously.
Requirements
- β3+ years software engineering experience
- βHands-on experience with LLMs, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.)
- βFamiliarity with LangChain, LlamaIndex, or similar agentic frameworks
- βStrong Python skills; comfort with cloud-native architectures (AWS or Azure)
- βExperience building multi-agent or tool-use workflows
- βAbility to work with sensitive data and cleared environments a plus
Deploy Agent β
About Babel Street
Babel Street is an AI-powered data analytics and intelligence platform serving national security, law enforcement, and enterprise clients with advanced geospatial, linguistic, and behavioral analytics.