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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 26-1106: Full Stack Python Developer - Herndon, VA - **Company:** Navitas Business Consulting Inc - **Location:** Herndon, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Databases, Continuous Integration, DevOps, Web Development, Elasticsearch, Python (Programming Language), Machine Learning, Neo4j, Search Technologies, Software Engineering, Systems Integration, Web Services, Data Logging, Data Processing, ReactJS, Flask (Web Framework), Large Language Models, Apache Spark, Backend, Fastapi, Vue.js, Containerization, AngularJS, Git Flow, Kubernetes, Deployment Automation, Machine Learning Operations, Front End Software Development, Api Design, Restful APIs, Docker, Databricks - **Published:** June 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=42945907e5053a04 ## About the Role Do you have a Bachelor's degree?, 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. ## 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. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)