Full Stack Engineer

This 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., * Own 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.

Experience: 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 Qualifications

• Experience 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.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at