Lead AI Developer 7 to 10 experience
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.
+ 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.
+ **Optimization Techniques:** Finetuning (LoRA, QLoRA), model quantization, distillation, caching.
+ **System Design:** Scalable APIs, message queues, observability, and fault tolerance.
+ **Programming:** Python
BTech, BE, MCA
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