> Markdown version of [/jobs/ext/3056772-full-stack-engineer-ai-platform](https://www.wearedevelopers.com/jobs/ext/3056772-full-stack-engineer-ai-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer (AI Platform) - **Company:** Bright Metro - **Location:** Washington, DC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Computing Platforms, Computer Engineering, Continuous Integration, Data Infrastructure, Data Visualization, Django Web Framework, Elasticsearch, Python (Programming Language), PostgreSQL, Redis, TypeScript, ReactJS, Large Language Models, Prompt Engineering, Indexer, Backend, Git, SC Clearance, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Celery, Restful APIs, Terraform, Data Pipelines, Api Management, Docker - **Published:** September 24, 2026 - **Apply:** https://www.juju.com/job/16_62d8d754 ## About the Role * U.S. Citizen eligible to work on government contracts; active or prior SECRET clearance preferred * Bachelor's and 5 years of experience, or master's degree and 3 years of experience, in Computer Science, Computer Engineering, or a related technical field * 5+ years building production software, with demonstrated ownership of full-stack systems * Expert-level Python, with deep Django (or equivalent framework) and PostgreSQL experience * Strong TypeScript/React skills, comfortable building complex, data-heavy interfaces * Experience building LLM applications: agents, tool calling, RAG, prompt engineering, and evaluation against hosted model APIs (e.g., AWS Bedrock) * Experience with search infrastructure (OpenSearch/Elasticsearch) and event-driven architectures (Kafka, Celery/Redis, or similar) * Hands-on with AWS, Docker, Kubernetes, Git, and CI/CD; comfortable reading and modifying Terraform Ideal Candidates * Experience with ML/data orchestration (Metaflow, Argo, Airflow) or NLP pipelines * Experience in compliance-constrained environments * Experience with data visualization and analyst-facing tools * Startup instincts: bias to ship, comfortable with ambiguity ## Description We are seeking a Senior Full Stack Engineer (AI Platform) to help build and evolve our internal AI-powered platform. This role is designed for an experienced engineer who can own production systems end-to-end-from backend services and data infrastructure to intuitive, analyst-facing applications-and who is excited to apply modern AI capabilities within a robust software platform. The ideal candidate is a strong full-stack engineer first, with experience building AI- and LLM-powered applications in production. You are comfortable working across the stack, making pragmatic architecture decisions, and taking ownership from technical design through deployment. You thrive in a fast-paced, small-team environment, are comfortable navigating ambiguity and complex technical problems, and bring the judgment and experience to help raise the bar for the engineers around you. Reporting to the VP of Technology, you will design and build core applications and services that power our platform, partnering directly with technical leadership to shape product and architectural direction. You will also collaborate with our customer-facing team to translate analyst and customer needs into scalable, reliable software., * Own features end-to-end across the platform: Django REST APIs and data models, React/TypeScript UI, workflow pipelines, and LLM agent services, from technical design through coding, testing, and production * Partner with technical leadership on architecture and roadmap: turn product vision into system designs, pressure-test ideas, and help drive the technical direction of the platform * Build LLM-powered systems on AWS Bedrock: tool-using agents, RAG retrieval over OpenSearch, prompt engineering, evaluation, and cost/usage controls * Develop data and ML workflows in Metaflow orchestrated on Argo Workflows/Kubernetes: ingestion, enrichment, classification, and document processing at scale * Design for the whole system: PostgreSQL schema, OpenSearch indexing and search, event-driven processing (Kafka, Redis/Celery), and clean API contracts between services * Collaborate with the customer-facing team to create solutions that support customer needs * Work in agile sprints with the engineering team, making informed decisions between competing solutions ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)