Overview:

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 contemporary MLOps and LLMOps practices.

Responsibilities:
Key Responsibilities
Lead the development of multi-agent workflows and architectures.
Design model optimization and fine-tuning pipelines (parameter-effective 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

📌 Agentic Ai Lead Bengaluru
🏢 Expleo
📍 Bengaluru