Python, FastAPI – Agentic AI Platforms

Develop and maintain efficient, reusable and reliable Python code.
Design and develop modular, scalable backend systems using FastAPI and related Python frameworks.
Technically lead a small team or feature delivery workstream, providing implementation guidance, code reviews and engineering direction.
Own the technical design and delivery of end-to-end backend product features.
Build backend services and APIs to support agentic AI features and product workflows.
Build and orchestrate LLM-powered agents using frameworks such as LangChain, LangGraph and Chainlit.
Implement agent memory, tool integration, API calls, database queries and context management workflows.
Integrate with AI platforms such as OpenAI, Hugging Face, AWS Bedrock, Google Vertex AI or equivalent via API.
Identify and fix bottlenecks, defects and design issues in existing applications.
Collaborate with product, architecture, engineering and cross-functional teams to define, design and ship new features.
Ensure performance, quality, security, reliability and responsiveness of backend applications.
Mentor and guide junior developers, providing hands-on technical leadership.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field.
7+ years of proven software engineering experience, with strong hands-on Python development.
Strong experience building backend services using FastAPI, RESTful APIs and web services.
At least 1 year of prior technical leadership experience, such as leading a small engineering team, feature delivery workstream, module implementation, technical design, code reviews or mentoring developers.
Strong understanding of Python programming, design patterns and engineering best practices.
Experience designing scalable, modular and maintainable backend applications.
Experience with ORM, database integration and API-driven application design.
Experience with automated testing, including unit testing, integration testing and API testing.
Hands-on experience with generative AI, agentic AI and LLM-based application development.
Experience using LLM models such as GPT-4, Gemini, Claude or equivalent.
Experience integrating with AI platforms such as OpenAI, Hugging Face, AWS Bedrock or Google Vertex AI via API.
Understanding of agentic AI patterns, tool calling, memory management, prompt chaining and context orchestration.
Proficient understanding of code versioning tools such as Git.
Excellent problem-solving skills, communication skills and ability to make sound technical decisions.