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Operationalize RAG + Agentic AI for DIA Support a stable, high-visibility DIA mission with long-term funding and real technical ownership. Neuma Consulting is seeking an experienced AI Engineer to join a recently awarded 5-year DIA contract through 2030. You’ll be part of a focused AI team executing the AI strategy for the office responsible for disseminating finished intelligence across the Defense Intelligence Enterprise—working alongside an AI Architect and 2–3 AI engineers, and collaborating with a broader cohort of ~40 developers. You’ll help design and implement AI systems that improve how intelligence is discovered, contextualized, and delivered—building scalable RAG pipelines, agentic workflows, and deploying specialized AI agents into production systems. Clearance: Active TS/SCI required (CI Polygraph preferred) Location: Washington, DC / Reston, VA (Off-Site/Hybrid) — 60% Remote / 40% Onsite (Reston, VA or JB Anacostia–Bolling) Experience: 10+ years (significant AI/ML or advanced software engineering experience) Key Skills: • RAG architecture + pipeline engineering • LLM solutions (including Amazon Bedrock) • Vector retrieval + vector DBs (e.g., Pinecone/Qdrant/Chroma) • ANN + hybrid retrieval (FAISS/HNSW/ScaNN/Annoy; BM25 + ANN) • AI agents / agent workflows + production deployment • Evaluation/benchmarks/metrics for quality and reliability Impact: Deliver AI capabilities that directly improve the speed, relevance, and trustworthiness of intelligence dissemination. Open question: Which are you strongest in today—RAG pipeline engineering, agentic workflows, or productionizing LLM systems in secure environments? Apply today.
Operationalize RAG + Agentic AI for DIA Support a stable, high-visibility DIA mission with long-term funding and real technical ownership. Neuma Consulting is seeking an experienced AI Engineer to join a recently awarded 5-year DIA contract through 2030. You’ll be part of a focused AI team executing the AI strategy for the office responsible for disseminating finished intelligence across the Defense Intelligence Enterprise—working alongside an AI Architect and 2–3 AI engineers, and collaborating with a broader cohort of ~40 developers. You’ll help design and implement AI systems that improve how intelligence is discovered, contextualized, and delivered—building scalable RAG pipelines, agentic workflows, and deploying specialized AI agents into production systems. Clearance: Active TS/SCI required (CI Polygraph preferred) Location: Washington, DC / Reston, VA (Off-Site/Hybrid) — 60% Remote / 40% Onsite (Reston, VA or JB Anacostia–Bolling) Experience: 10+ years (significant AI/ML or advanced software engineering experience) Key Skills: • RAG architecture + pipeline engineering • LLM solutions (including Amazon Bedrock) • Vector retrieval + vector DBs (e.g., Pinecone/Qdrant/Chroma) • ANN + hybrid retrieval (FAISS/HNSW/ScaNN/Annoy; BM25 + ANN) • AI agents / agent workflows + production deployment • Evaluation/benchmarks/metrics for quality and reliability Impact: Deliver AI capabilities that directly improve the speed, relevance, and trustworthiness of intelligence dissemination. Open question: Which are you strongest in today—RAG pipeline engineering, agentic workflows, or productionizing LLM systems in secure environments? Apply today.
Operationalize RAG + Agentic AI for DIA Support a stable, high-visibility DIA mission with long-term funding and real technical ownership. Neuma Consulting is seeking an experienced AI Engineer to join a recently awarded 5-year DIA contract through 2030. You’ll be part of a focused AI team executing the AI strategy for the office responsible for disseminating finished intelligence across the Defense Intelligence Enterprise—working alongside an AI Architect and 2–3 AI engineers, and collaborating with a broader cohort of ~40 developers. You’ll help design and implement AI systems that improve how intelligence is discovered, contextualized, and delivered—building scalable RAG pipelines, agentic workflows, and deploying specialized AI agents into production systems. Clearance: Active TS/SCI required (CI Polygraph preferred) Location: Washington, DC / Reston, VA (Off-Site/Hybrid) — 60% Remote / 40% Onsite (Reston, VA or JB Anacostia–Bolling) Experience: 10+ years (significant AI/ML or advanced software engineering experience) Key Skills: • RAG architecture + pipeline engineering • LLM solutions (including Amazon Bedrock) • Vector retrieval + vector DBs (e.g., Pinecone/Qdrant/Chroma) • ANN + hybrid retrieval (FAISS/HNSW/ScaNN/Annoy; BM25 + ANN) • AI agents / agent workflows + production deployment • Evaluation/benchmarks/metrics for quality and reliability Impact: Deliver AI capabilities that directly improve the speed, relevance, and trustworthiness of intelligence dissemination. Open question: Which are you strongest in today—RAG pipeline engineering, agentic workflows, or productionizing LLM systems in secure environments? Apply today.
Operationalize RAG + Agentic AI for DIA Support a stable, high-visibility DIA mission with long-term funding and real technical ownership. Neuma Consulting is seeking an experienced AI Engineer to join a recently awarded 5-year DIA contract through 2030. You’ll be part of a focused AI team executing the AI strategy for the office responsible for disseminating finished intelligence across the Defense Intelligence Enterprise—working alongside an AI Architect and 2–3 AI engineers, and collaborating with a broader cohort of ~40 developers. You’ll help design and implement AI systems that improve how intelligence is discovered, contextualized, and delivered—building scalable RAG pipelines, agentic workflows, and deploying specialized AI agents into production systems. Clearance: Active TS/SCI required (CI Polygraph preferred) Location: Washington, DC / Reston, VA (Off-Site/Hybrid) — 60% Remote / 40% Onsite (Reston, VA or JB Anacostia–Bolling) Experience: 10+ years (significant AI/ML or advanced software engineering experience) Key Skills: • RAG architecture + pipeline engineering • LLM solutions (including Amazon Bedrock) • Vector retrieval + vector DBs (e.g., Pinecone/Qdrant/Chroma) • ANN + hybrid retrieval (FAISS/HNSW/ScaNN/Annoy; BM25 + ANN) • AI agents / agent workflows + production deployment • Evaluation/benchmarks/metrics for quality and reliability Impact: Deliver AI capabilities that directly improve the speed, relevance, and trustworthiness of intelligence dissemination. Open question: Which are you strongest in today—RAG pipeline engineering, agentic workflows, or productionizing LLM systems in secure environments? Apply today.
Operationalize RAG + Agentic AI for DIA Support a stable, high-visibility DIA mission with long-term funding and real technical ownership. Neuma Consulting is seeking an experienced AI Engineer to join a recently awarded 5-year DIA contract through 2030. You’ll be part of a focused AI team executing the AI strategy for the office responsible for disseminating finished intelligence across the Defense Intelligence Enterprise—working alongside an AI Architect and 2–3 AI engineers, and collaborating with a broader cohort of ~40 developers. You’ll help design and implement AI systems that improve how intelligence is discovered, contextualized, and delivered—building scalable RAG pipelines, agentic workflows, and deploying specialized AI agents into production systems. Clearance: Active TS/SCI required (CI Polygraph preferred) Location: Washington, DC / Reston, VA (Off-Site/Hybrid) — 60% Remote / 40% Onsite (Reston, VA or JB Anacostia–Bolling) Experience: 10+ years (significant AI/ML or advanced software engineering experience) Key Skills: • RAG architecture + pipeline engineering • LLM solutions (including Amazon Bedrock) • Vector retrieval + vector DBs (e.g., Pinecone/Qdrant/Chroma) • ANN + hybrid retrieval (FAISS/HNSW/ScaNN/Annoy; BM25 + ANN) • AI agents / agent workflows + production deployment • Evaluation/benchmarks/metrics for quality and reliability Impact: Deliver AI capabilities that directly improve the speed, relevance, and trustworthiness of intelligence dissemination. Open question: Which are you strongest in today—RAG pipeline engineering, agentic workflows, or productionizing LLM systems in secure environments? Apply today.