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Known services firm plus mid-level backend role with LLM/FastAPI specialization yields moderate competition.
Core Python backend skills are transferable but agentic AI/LLM specialization increases domain specificity.
Explicit 7+ years, leadership requirement and specific FastAPI/LLM tech stack create strict shortlisting.
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Lead design and implementation of scalable backend services for agentic AI products using Python and FastAPI.
Build and orchestrate LLM-powered agents integrating AI platforms like OpenAI, Hugging Face, AWS Bedrock, or Google Vertex AI.
Provide technical leadership including mentoring developers, code reviews, and end-to-end feature delivery ownership.
7+ years of professional software engineering experience with strong hands-on Python backend development.
At least 1 year of technical leadership experience (team lead, feature delivery, code reviews, mentoring).
Experience building backend services using FastAPI and REST APIs, with knowledge of ORM, databases, and API-driven design.
Bachelor’s degree in Computer Science, Engineering, or related field.
Experienced in building modular, scalable backend systems in Python with FastAPI emphasizing production readiness.
Proficient in integrating and orchestrating LLM-based agentic AI applications using frameworks like LangChain, LangGraph, Chainlit.
Comfortable with end-to-end backend ownership, mentoring, and collaborating in agile teams focusing on AI-enabled product features.