Full Stack Python Developer

NSS; Herndon (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

NSS is seeking a Full Stack Python Developer to build scalable AI-enabled web services and UI for the DoD Search Portfolio. You will implement secure, cloud-native APIs and interfaces, collaborating with ML and data teams to productionize models through robust workflows and tooling.

The role emphasizes end-to-end system delivery with emphasis on performance, reliability, and traceability, across large datasets, and integrating with LLM/RAG pipelines and semantic search workflows.

Qualifications

• Bachelor’s degree or equivalent experience required.
• 5+ years in software engineering focused on Python and web app development.
• Hands-on experience building Python APIs/services (Flask/FastAPI) and integrating with databases, search platforms, and external systems.
• Experience developing full stack apps using modern front-end frameworks (React/Angular/Vue) and strong API design.
• Familiarity with AI/ML concepts (LLMs, embeddings, semantic search, RAG) and working with data/ML teams.
• Cloud-native delivery experience (Docker/Kubernetes), CI/CD, Git workflows; Databricks/Spark experience required.

Responsibilities

• Support CI/CD and DevOps practices to ensure stable releases and operational readiness.
• Apply security, logging, auditing, and compliance best practices aligned with federal standards.
• Design and develop Python backend services and REST APIs to expose AI/ML and search capabilities.
• Build full stack features (UI + API) for search workflows and semantic retrieval for enterprise users.
• Integrate backend services with Databricks/Spark pipelines and ML workflows for scalable inference.
• Implement integrations with Elasticsearch and Neo4j to enhance relevance and discovery.
• Collaborate with ML Engineers to productionize LLM/RAG features and retrieval workflows.
• Create technical documentation and communicate design decisions to stakeholders.

Skills

Python

REST APIs

Flask

FastAPI

React

Angular

Vue

Docker

Kubernetes

Databricks

Spark

Elasticsearch

Neo4j

LLM/RAG

Semantic search

Education

Bachelor’s degree (or equivalent experience)

Tools

Flask

FastAPI

React

Angular

Vue

Docker

Kubernetes

Databricks

Spark

Elasticsearch

Neo4j

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 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.