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Mid-level AI role in Mumbai with broad LLM and coding requirements attracts many qualified applicants.
Agent and LLM expertise is broadly transferable, though security-product experience creates moderate industry bias.
Explicit 5–8 years, mandatory ML/agent experience and language/LLM skills create strict shortlisting filters.
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Design, build, and maintain intelligent automation systems and AI agents that create operational impact using agentic AI frameworks (e.g., LangChain, AutoGen).
Develop and integrate automation pipelines combining large language models (LLMs) with external tools, APIs, and data sources.
Write and maintain backend code in Golang or Python, including testing, debugging agent behavior in production, and collaborating with teams to define AI agent scope and capabilities.
5-8 years of software engineering experience with hands-on AI or agent-related project involvement.
Proficiency in at least one programming language: Python (preferred) or Golang.
Experience working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) and prompt engineering fundamentals.
Comfortable with REST APIs, JSON, version control (Git), and following secure coding practices.
Demonstrates AI-first problem-solving mindset, prioritizing AI and automation solutions over conventional approaches.
Experienced with AI coding assistants (e.g., Claude Code, GitHub Copilot) and strong code ownership, including critical review and refactoring of AI-generated code.
Has worked with agentic AI frameworks and is familiar with multi-agent workflows and task orchestration.