Full Stack Software Engineer – Python​/FastAPI

Full Stack Software Engineer – Python/FastAPI

This role emphasizes full ownership of a FastAPI microservice integrated with an enterprise agentic AI platform. The position requires a self-sufficient full stack engineer with deep backend expertise who can identify scope, drive work independently, and deliver production-quality software. The successful candidate will own and lead the development, maintenance, and evolution of a core integration layer, designing and delivering both front-end and back-end components.

Location:

Plano, Texas (Onsite)

Key Responsibilities

• Own the full lifecycle of a FastAPI microservice: design, implementation, testing, deployment, and ongoing maintenance.
• Build and expose robust, well-documented RESTful APIs using FastAPI and Python, enforcing data contracts with Pydantic.
• Develop front-end interfaces and components using React, Type Script, HTML, and CSS.
• Integrate with relational and No
  
  SQL 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.
• Proactively identify technical debt, architectural gaps, and new work streams, owning them through to completion.
• Implement observability and monitoring instrumentation to ensure operational health of owned services.

Required Qualifications

Experience:

4+ years of full stack software engineering experience.

Technical

Skills:

• Expert-level Python with experience writing clean, production-ready, type-safe code.
• Hands-on experience with FastAPI and Pydantic for building and maintaining microservices.
• Proficiency in front-end development:
  React, Type Script, HTML, and CSS.
• Experience with Node.js and web server technologies (Apache or equivalent).
• Database skills across multiple paradigms:
  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, including familiarity with LLM-powered services.

Preferred Qualifications

• Experience with Lang Chain and/or Lang Graph 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 Lang Smith or similar LLM observability and tracing tools.
• Background in data pipelines, streaming, or batch processing.
• Experience in enterprise or financial services engineering environments.