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Full Stack Python Developer

  • Job type Posted on: Jul 02, 2026
  • Experience level NSS
  • Employment type Herndon, Virginia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Full Stack Python Developer

Job Type :

Full-time

Job Location :

Herndon Virginia United States

Remote :

No

Jobcon Logo Job Description :

What You’ll Do: Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio. You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. Thisrole partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability. The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users. 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 02, 2026

Reference Number:

14660_F68BF82209D3959FF7C8DFB24E44F603

Employment:

Full-time

Salary:

Not Available

City:

Herndon

Job Origin:

APPCAST_CPC

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What You’ll Do: Government contractor is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio. You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. Thisrole partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability. The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users. 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. #J-18808-Ljbffr

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