Lead Artificial Intelligence / Machine Learning Engineer

5 - 9 years

0 Lacs

Posted:6 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Lead AI/ML Engineer at GenAI, LLMs & Automation in Bangalore (HSR Layout), you will play a crucial role in building GenAI-driven assistants to revolutionize how professionals learn, buy, and receive support. Working closely with the CTO, you will lead the architecture, development, and deployment of LLM-powered solutions, which includes custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. You will have the opportunity to work on a full-stack AI role, driving infrastructure, DevOps, and observability to ensure production-grade performance, scalability, and automation across the GenAI stack. **Key Responsibilities:** - Designing and scaling AI-first features for real users - Leading AI engineering practices end-to-end, including model, infra, and app layer - Conducting rapid experimentation, iteration, and optimization - Collaborating cross-functionally and shipping production-grade solutions fast **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 experience with LangChain, LangGraph, and prompt engineering - Solid cloud experience with AWS (ECS, Lambda, Bedrock, S3, IAM) - Backend/API engineering proficiency (FastAPI or Node.js), Docker, Git, CI/CD (GitHub Actions, CodePipeline) - Scripting skills with Python & Bash; familiarity with n8n or other workflow automation tools - Observability knowledge using Langfuse, LangWatch, OpenTelemetry **Bonus Skills:** - Agentic frameworks (LangFlow, CrewAI, AutoGen) - Experience in integrating chatbots in web or LMS environments - Infra as Code using Terraform, monitoring tools like Grafana and CloudWatch In summary, you will be instrumental in driving the AI initiatives at GenAI by leveraging your expertise in AI/ML technologies, cloud services, and backend engineering to deliver cutting-edge solutions that enhance user experiences and drive business growth. As a Lead AI/ML Engineer at GenAI, LLMs & Automation in Bangalore (HSR Layout), you will play a crucial role in building GenAI-driven assistants to revolutionize how professionals learn, buy, and receive support. Working closely with the CTO, you will lead the architecture, development, and deployment of LLM-powered solutions, which includes custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. You will have the opportunity to work on a full-stack AI role, driving infrastructure, DevOps, and observability to ensure production-grade performance, scalability, and automation across the GenAI stack. **Key Responsibilities:** - Designing and scaling AI-first features for real users - Leading AI engineering practices end-to-end, including model, infra, and app layer - Conducting rapid experimentation, iteration, and optimization - Collaborating cross-functionally and shipping production-grade solutions fast **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 experience with LangChain, LangGraph, and prompt engineering - Solid cloud experience with AWS (ECS, Lambda, Bedrock, S3, IAM) - Backend/API engineering proficiency (FastAPI or Node.js), Docker, Git, CI/CD (GitHub Actions, CodePipeline) - Scripting skills with Python & Bash; familiarity with n8n or other workflow automation tools - Observability knowledge using Langfuse, LangWatch, OpenTelemetry **Bonus Skills:** - Agentic frameworks (LangFlow, CrewAI, AutoGen) - Experience in integrating chatbots in web or LMS environments - Infra as Code using Terraform, monitoring tools like Grafana and CloudWatch In summary, you will be instrumental in driving the AI initiatives at GenAI by leveraging your expertise in AI/ML technologies, cloud services, and backend engineering to deliver cutting-edge solutions that enhance user experiences and drive business growth.

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