26-1083: Full Stack /Python Developer - Herndon, VA

Navitas Business Consulting Inc
Herndon, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Herndon, United States of America

Tech stack

API
Artificial Intelligence
Big Data
Databases
Continuous Integration
DevOps
Web Development
Elasticsearch
Python
Machine Learning
Neo4j
Search Technologies
Software Engineering
Systems Integration
Web Services
Data Logging
Data Processing
React
Flask
Large Language Models
Spark
Backend
FastAPI
Vue.js
Containerization
Angular
Git Flow
Kubernetes
Deployment Automation
Machine Learning Operations
Front End Software Development
Api Design
REST
Docker
Databricks

Job description

You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role 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., * 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.

Requirements

The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users., * 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.

About the company

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we've served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we're a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

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