812241 Software Engineer $140,000.00

About the role

Location: McLean, VA. Position requires a Top Secret (TS/SCI) clearance with a polygraph.

Responsibilities

• 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.

Requirements

• 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.
• Acceptance of the following experience levels: Full Performance (typically 3 years related experience with a Bachelor’s degree; or 1 year and a Master’s degree; or a PhD without experience; or equivalent work experience).
• Optional: Experience with MCP or similar protocols for connecting AI agents to tools, data sources, and enterprise systems.
• Optional: Experience developing full-stack AI or agent-based applications, including frontend interfaces, backend services, orchestration layers, and enterprise deployment patterns.
• Optional: Experience with Python REST API frameworks such as FastAPI or Flask, Docker containers, containerized development environments, and AWS or other cloud environments.
• Optional: Experience implementing or optimizing LLM memory management, agent orchestration, prompt/tool workflows, latency reduction, context window management, observability, evaluation, and cost/performance tuning.
• Optional: Experience with MLflow or similar tools, vector databases, embedding models, semantic search, retrieval configuration, structured/unstructured data transformation, and Postgres schema refinement.

Benefits

• Retirement: Full Vanguard 401k plan – 100% employer matched contribution up to 6% of salary; ability to max out 401k savings ($57k, $63.5k if over 50).
• Phantom stock awarded each year (2‑year vesting period).
• Insurance: Medical – United Health Care (multiple plan options); Dental – United Concordia Flex Plan; Vision – Vision Service Plan (VSP) Signature Plans.
• Disability: Mutual of Omaha short‑term disability (60% of salary up to $2,000/week); long‑term disability (60% of salary up to $10,000/month).
• Life insurance: Mutual of Omaha ($200,000 coverage).
• Employee referral bonus: $3,000 per year for each referred employee who remains employed.
• Paid Time Off: Seven weeks of leave per year (including ten federal holidays).
• Flexible work schedule with comp time (subject to customer approval).
• Cafeteria‑style benefit plan allowing employees to maximize Benefit Dollars.

Pay

Salary: Up to $140,000.00 per year.

Schedule

Core hours: 9am to 4pm.