Remotely
pythonllmairagembeddings
Job Description
📋 Description
- Hands-on technical leadership to build production-grade Agentic AI and GenAI solutions.
- Own architecture decisions for multi-step reasoning agents, tool-calling workflows, and multi-agent
- Lead RAG pipelines with embeddings, vector search, and hybrid retrieval.
- Guide production engineering for scalable, secure, cloud-native APIs and microservices.
- Establish AI/LLMOps practices: deployment, monitoring, guardrails, and continuous improvement.
- Collaborate with Product, Data Science, Platform, Security, and Compliance teams.
🎯 Requirements
- Experience: 10+ years software engineering; 4+ years AI/ML; 2+ years LLM/Agentic AI in production.
- Generative AI: LLMs, RAG, embeddings, prompt engineering, agents, memory, planning, reasoning.
- Agentic AI frameworks: LangGraph, AutoGen, CrewAI, or similar.
- Software: strong Python; scalable, distributed, production-grade systems.
- Cloud: AWS/Azure/GCP; APIs, microservices, cloud-native architecture.
- MLOps/LLMOps: MLflow, LangSmith, Weights & Biases, or equivalent.
🎁 Benefits
- Competitive compensation: ₹30,00,000–₹50,00,000 per year.
- Remote flexibility: Fully remote position based in India.
- Full-time, permanent role with significant ownership.
- Hands-on AI work with Agentic AI, GenAI, LLMs, RAG.
- Leadership growth and mentorship opportunities.
- Cross-functional exposure with Product, Data, Security, Compliance.
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