AI Engineer

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Deutsche Telekom Digital Labs in Gurugram is looking for a skilled AI Engineer to build and ship production-grade AI features, design scalable microservices, and integrate advanced AI models into real-world products.

The ideal candidate should have strong experience with LLMs, an understanding of GenAI architectures, and be capable of addressing large-scale consumer challenges using AI. This role demands collaboration across multiple teams in a fast-paced environment.

Qualifications

• Proven experience in deploying AI applications in a production environment.
• Experience with AI product deployment and production monitoring.
• Ability to solve consumer/product challenges using AI.

Responsibilities

• Build and ship production-grade AI features using LLMs.
• Design scalable AI microservices and automation pipelines.
• Integrate OpenAI/Anthropic models into products.

Skills

Hands-on experience building and deploying AI-powered applications

Strong understanding of GenAI architecture

Comfortable in fast-paced engineering culture

Tools

Python

Node.js

Java

Go

LangChain / LangGraph / Agentic frameworks

REST/gRPC APIs

Job description

Responsibilities:

• Build and ship production-grade AI features using LLMs, RAG and Agentic workflows.
• Design scalable AI microservices and intelligent automation pipelines.
• Work on multi-agent orchestration, prompt engineering, and evaluation frameworks.
• Integrate OpenAI/Anthropic models, vector databases, and AI APIs into real-world products.
• Drive reliability, observability, optimization, and governance for AI systems in production.
• Collaborate closely with backend, frontend, platform, and data science teams.

Requirements:

• Hands-on experience building and deploying AI-powered applications in production.
• Strong understanding of GenAI architecture, workflows, and integrations.
• Passion for solving large-scale consumer/product challenges using AI.
• Comfortable in fast-paced, high-ownership engineering culture.

Tech Stack and Expertise:

• Python + one of Node.js / Java / Go.
• LangChain / LangGraph / Agentic frameworks.
• RAG, Embeddings, Vector Search, Prompt Engineering.
• LLM Finetuning, Eval Pipelines and Token Optimization.
• REST/gRPC APIs, Microservices, Cloud Platforms.
• AI Product deployment and production monitoring.