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 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