AI/ML Engineer
Agilisium (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 12–24 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy production-grade GenAI/LLM applications, including RAG solutions and AI agents.
- Own LLM integration, evaluation, optimization, and productionization; expose AI capabilities through scalable services and APIs.
- Connect GenAI solutions to enterprise data sources, databases, and cloud platforms, with attention to monitoring and lifecycle management.
Minimum Requirements
- Work Experience Required: 3+ years in AI/ML, with significant hands-on experience in Generative AI and LLM-based applications.
- Bachelor’s degree in Computer Science, Data Engineering, AI/ML, or a related field; a Master’s degree is preferred.
- Strong hands-on Python, LangChain and LangGraph, RAG, and FastAPI experience; experience with LLM APIs/model providers is required.
- Experience with cloud platforms (AWS, Azure, or GCP), database/enterprise data integration, and MLOps or production deployment of AI solutions.
Ideal Candidate Profile
- Has shipped production GenAI applications and can handle the RAG lifecycle, from ingestion and retrieval through evaluation and response generation.
- Can build workflow- and agent-based LLM applications, including tool/function calling; MCP and multi-agent experience are additional shortlist signals.
- Enterprise GenAI experience is a strong fit; Life Sciences, Pharma, or Healthcare domain expertise is desirable.