Lead AI/ML Engineer

Infopark; Ernakulam; Presencial; INR 3.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

Infopark in India seeks 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.

You will design LLM-powered applications, build conversational agents, and architect RAG pipelines, while developing scalable Python backends and deploying on AWS with CI/CD, collaborating with product and engineering to deliver enterprise-ready GenAI solutions.

Formación

• 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.

Responsabilidades

• Design and deploy LLM-powered applications (GPT, Claude, Llama, Mistral).
• Build conversational agents, copilots, and multi-agent workflows.
• Architect RAG pipelines, prompt strategies, and tool/function calling.
• Develop scalable Python backends (FastAPI, async APIs, vector DB integrations).
• Deploy solutions on AWS (Lambda, ECS/EKS, Bedrock, SageMaker, CI/CD).

Conocimientos

Generative AI

LLM development

Python

LangChain

Cloud deployment

Herramientas

FastAPI

Vector databases

AWS

Descripción del empleo

Lead AI/ML Engineer

Lead AI/ML Engineer

Role Overview

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.

What the Role Will Focus On

• 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
• Cloud‑native deployment experience (AWS preferred)

Nice to Have

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

Candidate Profile

• Mid- to senior‑level technical leader who enjoys building and shipping solutions
• Comfortable owning projects end to end
• Collaborative, proactive, and passionate about GenAI innovation