AI/ML Lead
4 weeks ago
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
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