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Metro location plus a junior, software-engineer title increases applicant density despite niche AI focus.
Role requires specialized AI agent and LLM skills, limiting transferability across non-ML domains.
Multiple mandatory filters: degree, 0–2 years experience, strong Python, and agent-framework exposure.
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Design, build, and deploy AI agents that automate manual, repetitive, or complex tasks using LLM APIs and agent frameworks.
Integrate AI agents into existing product workflows to enhance and automate features, improving performance and reliability through prompt engineering.
Collaborate with product and research teams to identify automation opportunities and contribute to open-source AI tools and frameworks development.
Education: B.Tech/M.Tech in Computer Science, IT, or related field.
Experience: 0–2 years of hands-on software development experience.
Strong proficiency in Python for AI agent development.
Hands-on exposure to at least one agent framework such as LangChain, CrewAI, AutoGen, or LangGraph; plus working knowledge of LLMs, prompt engineering, AI APIs, REST API integration, CS fundamentals, and Git.
Has built or experimented with AI agents, chatbots, or LLM-powered tools, including side projects or open source contributions.
Comfortable with iterative, ambiguous AI system development and understands agent behavior beyond just API usage.
Aspires to influence and shape AI-enhanced product features, demonstrated by sharing relevant GitHub repos, demos, or write-ups.