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