AI/ML Architect

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. Youll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutionsincluding 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