Lead AI Engineer/Architect

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Job Title: Lead AI/ML Engineer – GenAI, LLMs & Automation

Location: Bangalore

Experience: 5+ years (including 3+ in Cloud)

🚀 Role Summary

We are building GenAI-driven assistants to transform how professionals learn, buy, and get support. You’ll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutions—including custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. This is a full-stack AI role—you’ll also drive infrastructure, DevOps, and observability across the GenAI stack to ensure production-grade performance, scalability, and automation.

🧠 Must-Have Skills

● LLM fine-tuning and custom model creation using proprietary data (e.g., SFT, LoRA, PEFT)

● Strong expertise in RAG architectures, vector stores (Pinecone, FAISS), and embeddings

● Hands-on with LangChain, LangGraph, and prompt engineering

● Solid cloud experience (AWS – ECS, Lambda, Bedrock, S3, IAM)

● Backend/API engineering (FastAPI or Node.js), Docker, Git, CI/CD (GitHub Actions, CodePipeline)

● Scripting with Python & Bash; n8n or other workflow automation tools

● Observability: Langfuse, LangWatch, OpenTelemetry

🌐 Bonus Skills

● Agentic frameworks (LangFlow, CrewAI, AutoGen)

● Experience integrating chatbots in web or LMS environments

● Infra as Code (Terraform), monitoring tools (Grafana, CloudWatch)

🎯 You’ll Be Responsible For

● Designing and scaling AI-first features for real users

● Leading AI engineering practices end-to-end—model, infra, and app layer

● Rapid experimentation, iteration, and optimization

● Collaborating cross-functionally and shipping production-grade solutions fast