Generative AI Engineer

Job Title:

AI Ops Engineer Location:

Pan India Experience:

5-8 Years

About the Role We are looking for an

AI Ops Engineer

to support and optimize

Agentic AI, GenAI, and LLM applications

in production environments. This role involves working with cutting-edge AI architectures, operational workflows, and automation strategies to ensure reliability and scalability of AI-driven systems.

Key Responsibilities Build and manage

CI/CD pipelines

for Agentic AI deployments. Deploy and monitor

LLMs, RAG pipelines, and agentic AI systems

in containerized environments. Design and fine-tune

prompts

for various AI use cases. Operate, troubleshoot, and optimize

agentic AI applications

across multi-step pipelines and asynchronous agents. Develop diagnostics and playbooks for

LLM-driven failures , including fallback strategies and human-in-the-loop workflows. Collaborate with architects and AI developers to optimize orchestration across platforms like

LangGraph, AWS Bedrock Agents, CrewAI, AutoGen . Integrate agentic systems with enterprise apps ( Jira, ServiceNow, Confluence ) using REST APIs and webhooks. Implement observability and logging best practices for

model outputs, latency, and agent performance . Contribute to

self-healing mechanisms

and alerting strategies for production-grade AI workflows.

Must-Have Skills Experience supporting

Agentic AI, GenAI, or LLM applications

in production. Exposure to

agentic AI architectures

(LangGraph, AWS Bedrock Agents, AutoGen, CrewAI). Strong foundation in

prompt engineering

and experience with LLMs ( GPT, Claude, LLaMA ). Hands-on experience in

DevOps/MLOps

and AI workflows. Familiarity with

Python, Bash , RESTful APIs,

MCP , and AWS cloud environments. Knowledge of

vector databases

(OpenSearch/FAISS),

SQL (Postgres) ,

NoSQL (DynamoDB) , and

Graph DBs (Neptune) . Understanding of

containerization, orchestration , and monitoring tools ( Prometheus, Grafana, ELK ). Exposure to

security and compliance standards

in model lifecycle management.

Good-to-Have Experience with

Angular deployments

and advanced automation strategies.