AI Engineering Lead

Hiring: AI Engineering Lead - Agentic AI, Cloud & MLOps (Hands on)

Location: Hyderabad/ Bangalore / Chennai

We are looking for a hands-on AI Engineering Lead to architect, build, deploy, and scale production-grade AI systems with a strong focus on Agentic AI, Cloud, MLOps, and modern application engineering.

We are looking for builders who can design, build, and ship AI-powered applications end-to-endnot just model developers.

Key Responsibilities

• Architect and deliver end-to-end AI and Agentic AI solutions.
• Design and build LLM-based agents, multi-agent systems, and orchestration frameworks.
• Develop RAG pipelines, LLM integrations, tool-calling, memory, and reasoning workflows.
• Build scalable AI-powered applications and reusable AI frameworks.
• Define and implement MLOps / LLMOps best practices.
• Manage the complete AI lifecycle from development to staging and production.
• Own deployment, scalability, reliability, monitoring, and performance.
• Build CI/CD pipelines for AI/ML systems.
• Deploy production solutions using Docker, Kubernetes, APIs, and microservices.
• Design scalable, distributed, API-driven, and event-driven architectures.
• Challenge technical assumptions, identify risks, and improve solution designs.
• Mentor engineers and drive technical excellence.

Required Experience & Skills

• 8- 12+ years of experience across application engineering and AI/ML systems.

• Proven experience building and delivering AI-powered applications.

• Strong hands-on experience with Agentic AI, AI Agents, RAG, and LLMs.

• Experience with multi-agent systems and orchestration frameworks.

• Strong hands-on Python experience.

• Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent.

• Production experience with at least one cloud platform:

• AWS

• Azure

• GCP

• Strong experience with MLOps / LLMOps.

• Experience with model/prompt versioning, evaluation, monitoring, and observability.

• Strong CI/CD experience.

• Hands-on experience with Docker, Kubernetes, APIs, and Microservices.

• Strong understanding of distributed systems, system design, and event-driven architecture.

Preferred Skills

• LangChain / LangGraph or equivalent agent orchestration frameworks.
• Vector databases.
• Large-scale data systems.
• AI security and Responsible AI.
• Client-facing or IT consulting experience.

Note:- Interested candidates can share their updated resume at [email protected] with the subject line AI Engineering Lead Agentic AI.