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Niche ML role in metro Pune with common Python/LLM skills attracts moderate competition.
Core LLM and Python skills are transferable, but agent-specific experience increases domain specificity.
Requires LLM/toolchain familiarity and Python skills but is open to junior candidates, so moderate filtering.
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Build and maintain AI agents and components focusing on tool integration, prompt-to-action pipelines, and testing of agentic workflows.
Implement AI agents using frameworks like LangGraph, LangChain, Semantic Kernel, and integrate various tools, APIs, and data sources.
Debug and document agent failures, support deployment to staging and production, and adhere to secure coding and data-handling standards.
0-3 years of software engineering or ML engineering experience.
Working proficiency in Python or similar and REST/GraphQL API integration.
Basic understanding of Large Language Model concepts, including prompting, embeddings, and tool/function calling.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
Experience or hands-on exposure to agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) and cloud platforms (AWS, Azure, GCP).
Comfortable working under guidance of senior engineers with strong debugging and problem-solving skills in AI/ML environments.