Agentic AI Engineer

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Deutsche Telekom Digital Labs is seeking a hands-on Agentic AI Engineer in Gurugram, Haryana. The role involves designing and building autonomous AI agents, architecting RAG pipelines, and working on multi-agent reasoning. Candidates should have substantial experience with Agentic AI systems, RAG architecture, and LLMs. Collaboration with engineering and product teams is essential. This position offers an exciting opportunity to work with cutting-edge AI technologies.

Qualifications

• Strong experience in Agentic AI systems and workflows.
• Deep hands-on experience with RAG architecture.
• Practical expertise in LangChain and LangGraph for multi-agent orchestration.
• Experience with LLMs like OpenAI, Anthropic, and LLaMA.
• Ability to design, optimize, and scale production-grade AI agents.
• Solid backend engineering mindset with problem-solving skills.
• Relevant hands-on experience in Agentic AI and LLM systems.

Responsibilities

• Design and build autonomous AI agents.
• Architect and implement RAG pipelines.
• Work on multi-agent reasoning, memory, and tool usage.
• Collaborate closely with engineering and product teams.

Skills

Agentic AI systems

RAG architecture

LangChain

LangGraph

LLMs

Backend engineering

Job description

We are looking for a hands‑on Agentic AI Engineer who is excited about building intelligent, autonomous AI systems using cutting‑edge LLM frameworks.

Responsibilities

• Design and build autonomous AI agents.
• Architect and implement RAG pipelines.
• Work on multi‑agent reasoning, memory, and tool usage.
• Collaborate closely with engineering and product teams.

Requirements

• Strong experience in Agentic AI systems and workflows.
• Deep hands‑on experience with RAG (Retrieval‑Augmented Generation) architecture.
• Practical expertise in LangChain and LangGraph for multi‑agent orchestration.
• Experience working with LLMs (OpenAI, Anthropic, LLaMA, etc. )
• Ability to design, optimize, and scale production‑grade AI agents.
• Solid backend engineering mindset with problem‑solving skills.
• Relevant hands‑on experience in Agentic AI and LLM systems.