REMOTEFULLTIME
Ai Lead

Infarsight
Remote · remote · Posted 3d ago
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₹12.0L - ₹22.0L PA7–10 yrsfulltimeRemote
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Section · 01
About this role
About Infarsight Infarsight partners with enterprises to scale through AI-driven automation and product innovation. Our platformsTask Sight, Trip Sight, and Fleet Sight—simplify complex workflows across HR, Finance, and Supply Chain, transforming raw data into real-time business intelligence.Location: RemoteExperience: 6 – 9 yearsWebsite: www.infarsight.com
Key Responsibilities
- Design and build AI agents using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, LlamaIndex.
- Develop and deploy:
- LLM-based applications with strong focus on prompt engineering and system design.
- Agentic workflows (multi-step reasoning, tool use, planning agents).
- Tool-using agents (API/function calling).
- Multi-agent and RAG-based systems from POC MVP production.
- Integrate solutions with external systems (CRMs, databases, APIs).
- Own end-to-end delivery and ensure production readiness.
Required Skills
- Strong proficiency in Python.
- Hands-on experience with one or more Agentic AI frameworks (LangChain/LangGraph, CrewAI, AutoGen).
- Familiarity with Model Context Protocol (MCP) or similar orchestration approaches.
- Solid understanding of APIs and backend systems.
- Knowledge of LLMs (OpenAI and open-source models).
- Expertise in prompt engineering and agent design patterns.
- Working knowledge of Docker and CI/CD pipelines.
Nice-to-Have Skills
- Experience with Retrieval-Augmented Generation (RAG).
- Exposure to vector databases (Pinecone, Weaviate, FAISS, Redis).
- Working knowledge of Node.js, Java, or .NET.
Key Traits
- Adaptable – flexible with technology stacks.
- Fast learner – able to pick up new tools quickly.
- Builder mindset – focused on delivering working systems, not just prototypes.
- Comfortable with ambiguity – thrives in evolving AI projects.
- Strong communicator – capable of engaging with clients and cross-functional teams.
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Section · 02
Skills
Artificial IntelligenceMachine Learning