Today
Top Secret/SCI
Senior Level Career (10+ yrs experience)
CI Polygraph
IT - Software
Washington, DC (Off-Site/Hybrid)
About the Company:
Neuma Consulting LLC is a minority-owned business providing consulting services to defense and intelligence agencies. Our professionals are consulted to craft revolutionary business and technical solutions that ensure mission success. Our in-depth industry experience coupled with our technical expertise allows us to deliver timely solutions positioning our clients with a decisive advantage.
Job Description
Performs implementation, regular problem solving, maintenance, and support for agile software development environments focused on AI/ML solutions. Applies specific functional knowledge and general industry expertise in artificial intelligence, machine learning, and large language model (LLM) systems. Possesses and applies skills across multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. Operates with appreciable latitude in developing methodology and presenting solutions to problems. Contributes to deliverables and performance metrics where applicable.
Shall possess a minimum of 10 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. In addition, shall possess a degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.
The Challenge
Are you looking for an opportunity not just to develop software, but to build intelligent systems that empower DoD leadership with data-driven insights for critical decision-making? As an AI Source Developer / Machine Learning (AI) Developer, you’ll design, train, and deploy AI solutions that deliver real impact — from vision to production-ready systems.
This role is more than just coding. We need an engineer who is passionate about LLMs, RAG pipelines, and intelligent retrieval systems, and who can leverage modern AI infrastructure to build scalable solutions. You’ll use your expertise in vector databases, hybrid search pipelines, prompt/context engineering, and AI agent frameworks to shape cutting-edge capabilities. Using Agile methodologies, advanced retrieval architectures (e.g., FAISS, HNSW, ScaNN), and cloud AI platforms (e.g., AWS Bedrock), you’ll build intelligent systems that integrate seamlessly into mission environments.
You’ll analyze the needs and the environment to ensure the solutions you’re developing account for the current architecture and operational landscape, as well as future enhancements and extensibility.
Requirements
* Education: BA/BS in Computer Science, Data Science, Engineering, or a related field
* Experience: 10+ years in software engineering, data science, or AI/ML engineering, with at least 2 years directly in AI/ML development
Core AI/ML Competencies:
* Expertise with large language models (LLMs), retrieval-augmented generation (RAG), and embedding models
* Experience with vector databases (e.g., Pinecone, Quadrant, Chroma) and indexing & similarity search (e.g., FAISS, HNSW, ScaNN, Annoy)
* Proficiency in hybrid search methods (semantic + keyword search, e.g., BM25 + ANN) and metadata filtering / hybrid retrieval pipelines
* Ability to design and operationalize AI agent frameworks and perform prompt/context engineering
Software & Infrastructure:
* Strong programming experience in Python, Java, or C++
* Familiarity with TensorFlow, PyTorch, Hugging Face, Scikit-learn, and related ML libraries
* Experience with Docker, Kubernetes, and cloud AI platforms such as AWS Bedrock, Sagemaker, Azure ML, or GCP Vertex AI
* Working knowledge of data tools such as Spark, Pandas, SQL/NoSQL databases
* Security: TS clearance required
Nice to Have
* Experience with LangChain, hybrid retrieval orchestration frameworks, or custom AI agent architectures
* Experience implementing custom authentication/authorization strategies for AI systems
* Experience creating and consuming REST and GraphQL APIs
* Familiarity with containerization and MLOps practices for scaling AI systems
* Strong communication skills and the ability to mentor teammates in emerging AI/ML technologies
This position allows for 60% remote work, 40% onsite work at DIA HQ in SE Washington DC.
Neuma Consulting LLC is a minority-owned business providing consulting services to defense and intelligence agencies. Our professionals are consulted to craft revolutionary business and technical solutions that ensure mission success. Our in-depth industry experience coupled with our technical expertise allows us to deliver timely solutions positioning our clients with a decisive advantage.
Job Description
Performs implementation, regular problem solving, maintenance, and support for agile software development environments focused on AI/ML solutions. Applies specific functional knowledge and general industry expertise in artificial intelligence, machine learning, and large language model (LLM) systems. Possesses and applies skills across multiple complex work assignments. Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks. Operates with appreciable latitude in developing methodology and presenting solutions to problems. Contributes to deliverables and performance metrics where applicable.
Shall possess a minimum of 10 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. In addition, shall possess a degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.
The Challenge
Are you looking for an opportunity not just to develop software, but to build intelligent systems that empower DoD leadership with data-driven insights for critical decision-making? As an AI Source Developer / Machine Learning (AI) Developer, you’ll design, train, and deploy AI solutions that deliver real impact — from vision to production-ready systems.
This role is more than just coding. We need an engineer who is passionate about LLMs, RAG pipelines, and intelligent retrieval systems, and who can leverage modern AI infrastructure to build scalable solutions. You’ll use your expertise in vector databases, hybrid search pipelines, prompt/context engineering, and AI agent frameworks to shape cutting-edge capabilities. Using Agile methodologies, advanced retrieval architectures (e.g., FAISS, HNSW, ScaNN), and cloud AI platforms (e.g., AWS Bedrock), you’ll build intelligent systems that integrate seamlessly into mission environments.
You’ll analyze the needs and the environment to ensure the solutions you’re developing account for the current architecture and operational landscape, as well as future enhancements and extensibility.
Requirements
* Education: BA/BS in Computer Science, Data Science, Engineering, or a related field
* Experience: 10+ years in software engineering, data science, or AI/ML engineering, with at least 2 years directly in AI/ML development
Core AI/ML Competencies:
* Expertise with large language models (LLMs), retrieval-augmented generation (RAG), and embedding models
* Experience with vector databases (e.g., Pinecone, Quadrant, Chroma) and indexing & similarity search (e.g., FAISS, HNSW, ScaNN, Annoy)
* Proficiency in hybrid search methods (semantic + keyword search, e.g., BM25 + ANN) and metadata filtering / hybrid retrieval pipelines
* Ability to design and operationalize AI agent frameworks and perform prompt/context engineering
Software & Infrastructure:
* Strong programming experience in Python, Java, or C++
* Familiarity with TensorFlow, PyTorch, Hugging Face, Scikit-learn, and related ML libraries
* Experience with Docker, Kubernetes, and cloud AI platforms such as AWS Bedrock, Sagemaker, Azure ML, or GCP Vertex AI
* Working knowledge of data tools such as Spark, Pandas, SQL/NoSQL databases
* Security: TS clearance required
Nice to Have
* Experience with LangChain, hybrid retrieval orchestration frameworks, or custom AI agent architectures
* Experience implementing custom authentication/authorization strategies for AI systems
* Experience creating and consuming REST and GraphQL APIs
* Familiarity with containerization and MLOps practices for scaling AI systems
* Strong communication skills and the ability to mentor teammates in emerging AI/ML technologies
This position allows for 60% remote work, 40% onsite work at DIA HQ in SE Washington DC.
group id: 91091669
