Lead AI/ML Engineer

Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI.; Ernakulam; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI. leads ambitious GenAI initiatives by designing, building, and deploying production-grade AI systems in enterprise environments.

Lead engineers collaborate with product and engineering teams to deploy scalable LLM-powered applications and multi-agent workflows on AWS, leveraging LangChain-based tools and advanced RAG strategies.

Qualifications

• Strong hands-on experience with Generative AI and LLM development.
• Experience with LangChain, LangGraph, OpenAI Agents, CrewAI, or similar frameworks.
• Solid Python engineering skills with microservices experience.

Responsibilities

• Design and deploy LLM-powered applications.
• Build conversational agents and multi-agent workflows.
• Architect RAG pipelines and prompt strategies.
• Develop scalable Python backends with FastAPI and vector DB integrations.
• Deploy solutions on AWS with CI/CD pipelines.
• Collaborate with product and engineering teams to deliver GenAI solutions.

Skills

Generative AI

LLM development

LangChain

LangGraph

OpenAI Agents

CrewAI

Python

Microservices

GenAI architectures

Tools

LangChain

LangGraph

OpenAI Agents

CrewAI

Job description

What the Role Will Focus On

We are looking for a Lead AI/ML Engineer with strong hands-on experience in Generative AI and LLM-based solutions to design, build, and deploy production-grade AI systems.

• Designing and deploying LLM-powered applications (GPT, Claude, Llama, Mistral)
• Building conversational agents, copilots, and multi-agent workflows
• Architecting RAG pipelines, prompt strategies, and tool/function calling
• Developing scalable Python backends (FastAPI, async APIs, vector database integrations)
• Deploying solutions on AWS (Lambda, ECS/EKS, Bedrock, SageMaker, CI/CD pipelines)
• Collaborating with product and engineering teams to deliver enterprise-ready GenAI solutions

Required Skills & Experience

• Strong hands-on experience with Generative AI and LLM development
• Experience with LangChain, LangGraph, OpenAI Agents, CrewAI, or similar frameworks
• Solid Python engineering skills with microservices experience
• Proven ability to design end-to-end GenAI architectures

Nice to Have

• Experience with multimodal AI (text, image, audio)
• Knowledge of knowledge graphs
• Experience with enterprise system integrations