Software Engineer, AI Engineer (Applied​/Software), Backend Developer

Labor Category:
Software Engineer

Position Title:

AI/ML Engineers
Position Level: Level 3 – Senior
Salary:
Up to $ per year
Core

Hours:

9am to 4pm

Location:

McLean VA

Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.

• Develop, implement, and maintain AI/ML-enabled applications with a focus on agent-based workflows, LLM integration, RAG capabilities, and production-ready application functionality.
• Design and support agent-based application architectures, including orchestration logic, tool use, memory management, context handling, and integration with external tools, data sources, and enterprise systems.
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, prompt assembly, response optimization, and retrieval-based memory patterns.
• Develop and maintain REST APIs, Python-based services, backend components, user-facing features, and data workflows to support AI/ML applications, system integration, and enterprise deployment.
• Process, organize, and model structured and unstructured data; refine Postgres schemas; benchmark model performance using MLflow or similar tools; and optimize applications for performance, reliability, latency, usability, maintainability, and scalability.

Labor Category:
Software Engineer

Position Title:

AI/ML Engineers
Position Level: Level 3 – Senior
Salary:
Up to $ per year
Core

Hours:

9am to 4pm

Location:

McLean VA

• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)

Accepting the following levels:

• Senior:
  Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 7 years and a Master’s degree; or a PhD with a minimum of 6 years of related work experience.

• Experience developing AI/ML-enabled applications with a focus on LLM integration, agent-based workflows, retrieval-augmented generation (RAG), or similar retrieval-based capabilities.
• Proficiency with Python, common data/AI libraries, AI frameworks, and tool-based LLM application development, including orchestration logic, tool use, memory/context management, and integration with external systems.
• Strong understanding of AI/ML foundational concepts, including transformers, algorithms, LLM behavior, data processing, and model integration patterns.
• Experience designing, developing, or integrating REST APIs, particularly Python-based services, and working with PostgreSQL or other relational databases, including schema design, indexing, and query optimization.
• Familiarity with production-ready application development practices, including reliability, maintainability, testing, usability, deployment, and performance optimization.

• Experience with MCP or similar protocols for connecting AI agents to tools, data sources, and enterprise systems.
• Experience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment patterns.
• Experience with Python REST API frameworks such as FastAPI or Flask, Docker containers, containerized development environments, and AWS or other cloud environments.
• Experience implementing or optimizing LLM memory management, agent orchestration, prompt/tool workflows, latency reduction, context window management, observability, evaluation, and cost/performance tuning.
• Experience with MLflow or similar tools, vector databases, embedding models, semantic search, retrieval configuration, structured/unstructured data transformation, and Postgres schema refinement.

B4

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