Agentic AI Lead

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