Python Developer / Full Stack Developer

Position Title: Python Developer / Full Stack Developer 
Job ID#: xxxxxxxxxxxxxxx
Clearance: Secret 
Location: Herndon, VA
 

Responsibilities will include but are not limited to:

• Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.
• Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.
• Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems.
• Build full stack features (UI + API) that support search workflows, semantic retrieval, and results visualization for enterprise users.
• Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.
• Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.
• Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.
• Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.

What You’ll Need:

• Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.
• Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.
• Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.
• Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.
• Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.