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Mid-level backend Python role in Bengaluru with broad integration and AI skills increases applicant competition.
Core Python backend and API skills are transferable, but storage integrations and agentic AI add moderate domain specificity.
Explicit 4+ years, required backend/API experience and specific Python/FastAPI skills enforce strict shortlisting.
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Design, develop, and maintain Python-based backend components and API integrations for OASIS storage/backup systems, including agent services and vendor API connectors.
Implement and optimize AI agent frameworks (LangGraph ReAct) for orchestrating large language model driven tool calls against MCP servers, ensuring performance and reliability.
Take ownership of complex tasks, lead architectural decisions in coordination with senior engineers, participate in code reviews, and debug production issues across a multi-component stack.
Bachelor’s degree in Computer Science or equivalent education and experience.
4+ years of relevant software engineering experience, including 1+ years in backend, API, or integration roles.
Strong proficiency in Python (async/await, FastAPI, Pydantic v2, httpx), REST APIs, and Git workflows (GitHub/GitHub Enterprise).
Comfortable with Linux/WSL terminal usage and bash scripting; familiarity with AI/LLM concepts such as prompt engineering and retrieval-augmented generation.
Experienced in building and maintaining complex backend systems with asynchronous Python and API integrations in distributed team environments.
Demonstrates advanced understanding of AI agentic frameworks and integration standards (LangGraph, LangChain) and is proactive in applying emerging AI patterns to practical solutions.
Able to take technical ownership, lead architectural discussions, mentor juniors, and manage production debugging with observability tools.