Agentic AI Lead

Expleo; Chennai District; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

Expleo in Chennai is seeking an Agentic AI Lead to architect, manage, and scale multi-agent systems that reason, plan, and act autonomously. You will lead a small team and drive production readiness, latency reduction, and governance.

The role emphasizes hands-on optimization, deployment through MLOps, and collaboration with data science teams across Vertex AI, AWS Bedrock, and other clouds. A strong background in AI systems and leadership is required.

Qualifications

• Bachelor or higher in engineering or computer science.
• Experience with production AI systems preferred.

Responsibilities

• Lead the development of multi-agent workflows and architectures.
• Design model optimization and fine-tuning pipelines (parameter-efficient finetuning, LoRA, quantization).
• Oversee DevOps and MLOps pipelines - CI/CD, model versioning, containerization, and monitoring.
• Collaborate with data science teams on model evaluation and benchmarking.
• Drive production readiness - latency reduction, error recovery, and traceability.
• Mentor the Agentic AI developer team and review their code, design, and deployment.

Skills

Agent frameworks

MLOps stack

LLMOps

DevOps

Cloud platforms

Vector search

Backend integration

Education

BTech/BE/MCA

Job description

Overview

We're hiring an Agentic AI Lead to architect, manage, and scale multi-agent systems that reason, plan, and act autonomously. You'll lead a small team, ensure model efficiency, and orchestrate seamless production deployment through modern MLOps and LLMOps practices.

Responsibilities

• Key Responsibilities

  • Lead the development of multi-agent workflows and architectures.
  • Design model optimization and fine-tuning pipelines (parameter-efficient finetuning, LoRA, quantization).
  • Oversee DevOps and MLOps pipelines - CI/CD, model versioning, containerization, and monitoring.
  • Collaborate with data science teams on model evaluation and benchmarking.
  • Drive production readiness - latency reduction, error recovery, and traceability.
  • Mentor the Agentic AI developer team and review their code, design, and deployment.

Qualifications

BTech, BE, MCA

Essential skills

• Core Skills

  • Agent Frameworks: LangChain, OpenAI Agents SDK, or Google ADK.
  • MLOps Stack: MLflow, Vertex AI, Airflow, Kubeflow, or Weights & Biases.
  • LLMOps: Model finetuning, serving, optimization, and monitoring.
  • DevOps: Kubernetes, Docker, Jenkins, Terraform, and CI/CD pipelines.
  • Cloud Platforms: GCP (preferred), AWS, Azure.
  • Vector Search: FAISS, Pinecone, Milvus, or Weaviate.
  • Backend Integration: FastAPI, REST/gRPC, Pub/Sub, and event-driven design.

Desired skills

• Proven leadership in building production-grade AI systems.
• Experience deploying agents on Vertex AI, Databricks, or AWS Bedrock.
• Familiarity with RLHF, Agent safety evaluation, and governance frameworks.

Experience

7-10 Years Experience