Agentic AI Lead

Expleo Group; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Expleo Group in Chennai, India, is 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 and orchestrate production deployment with modern MLOps and LLMOps.

You will design pipelines for model optimization, oversee DevOps and MLOps, and collaborate with data science teams on evaluation and benchmarking.

Qualifications

• 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.
• Strong collaboration with data science teams and stakeholders.

Responsibilities

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

Skills

Agent Frameworks

MLOps Stack

LLMOps

DevOps

Cloud Platforms

Vector Search

Backend Integration

Education

BTech, BE, MCA

Tools

Kubernetes

Docker

Jenkins

Terraform

CI/CD pipelines

Job description

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