Full Stack Engineer (FastAPI, React, AI/LLM)

Full Stack Engineer (FastAPI, React, AI/LLM)Location: Plano, Texas (Onsite)Role OverviewThis role emphasizes full ownership of a FastAPI microservice integrated with an enterprise agentic AI platform. The position involves leading the development, maintenance, and evolution of this core integration layer. The ideal candidate is a self-sufficient full stack engineer with deep backend expertise who can operate autonomously, proactively identifying gaps, defining scope, and delivering production-quality software end-to-end with minimal oversight.Key ResponsibilitiesOwn the full lifecycle of a FastAPI microservice: design, implementation, testing, deployment, and ongoing maintenance.Build and expose robust, well-documented RESTful APIs using Python and FastAPI, enforcing data contracts with Pydantic.Develop front-end interfaces and components using React, TypeScript, HTML, and CSS.Integrate with relational and NoSQL databases including MongoDB, SQL, and Redis for caching, persistence, and session management.Partner with AI engineers to incorporate LLM-driven features, agentic workflows, and AI model outputs into the microservice.Serve Node.js and/or Apache-backed services as part of a broader microservices ecosystem.Ensure secure, scalable, and maintainable architecture across all layers of the stack.Drive development across new features, performance optimizations, and technical debt remediation.Proactively identify technical debt, architectural gaps, and new workstreams, owning them through to completion.Implement observability and monitoring instrumentation to ensure the operational health of owned services.Required QualificationsExperience: 4+ years of full stack software engineering experience.Technical Skills:Expert-level Python for clean, production-ready, type-safe code.Deep hands-on experience with FastAPI and Pydantic for building and maintaining microservices.Proficiency in front-end development with React, TypeScript, HTML, and CSS.Experience with Node.js and web server technologies such as Apache.Strong database skills across MongoDB, SQL (PostgreSQL/MySQL), and Redis.Demonstrated experience building, consuming, and owning RESTful APIs in production environments.Experience working on or integrating with AI applications, with familiarity with LLM-powered services.Professional Skills:Self-directed and autonomous, with the ability to own a service end-to-end.Strong written and verbal communication skills for effective collaboration.Preferred QualificationsExperience with LangChain and/or LangGraph for building or integrating agentic workflows.Familiarity with vector databases (e.g., Elasticsearch, Pinecone, Weaviate) and RAG patterns.Understanding of LLM behavior, prompt engineering, and context management.Experience with LangSmith or similar LLM observability and tracing tools.Background in data pipelines, streaming, or batch processing.Experience in enterprise or financial services engineering environments.