Job Description

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