Booz Allen
national security
AIEngineer
“AI Engineer at Booz Allen. Skills: AI, ML, Python, LLM. train models. test models”
What You'll Achieve.
deliver customer-focused solution; deliver world class solutions; guide clients; solve real-world challenges
Industry & Context.
desire to problem-solve; translate prototypes to production; optimize system performance
TS/SCI clearance, on camera during interviews, identity verification process
What They're Looking For.
Must Have
software engineering, ML engineering, AI systems development, Python, building, deploying, and maintaining LLM-powered systems, complex data pipelines, production environments, advanced prompting strategies, LangChain, LlamaIndex AI orchestration frameworks, vLLM, TGI LLM inference engines, tool calling, agentic workflows, integrating AI components, embeddings, vector databases, LanceDB, pgvector, Elasticsearch, Retrieval-Augmented Generation (RAG) pipelines, translate early-stage prototypes into robust, scalable production systems, ownership of system performance, optimizing for latency, throughput, high reliability, TS/SCI clearance, Bachelor's degree
Nice to Have
collaborating with MLOps, DevOps, infrastructure engineers, seamless model deployment, infrastructure scaling, AWS, Azure, GCP cloud platforms, containerization technologies, Docker, Kubernetes, underlying model architectures, inference optimization techniques, fine-tuning open-source models, distributed systems, streaming data, Kafka, integrating AI services into larger enterprise microservice architecture, Security+ Certification
What You'll Do.
build LLM-powered systems
deploy LLM-powered systems
maintain LLM-powered systems
deploy data pipelines
maintain data pipelines
implement prompting strategies
implement AI orchestration
implement LLM inference
implement tool calling
implement agentic workflows
integrate AI components
integrate vector databases
integrate RAG pipelines
translate prototypes to production
own system performance
optimize system performance
optimize for throughput
optimize for reliability
How You'll Work.
Team & Collaboration
collaborate with data engineers; collaborate with data scientists; collaborate with solutions architects; collaborate with MLOps engineers; collaborate with MLOps; collaborate with DevOps; collaborate with infrastructure engineers
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