Agentic AI Lead

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

• 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.
• 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.