AI Backend Engineer

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Deutsche Telekom Digital Labs is seeking a highly skilled AI Backend Engineer to design and develop scalable AI backend systems. This role involves building intelligent agents and multi-agent workflows while optimising AI application performance.

The ideal candidate will have hands-on experience in agentic AI, generative AI, and voice AI technologies, with a strong background in Python and cloud platforms. Join us in delivering innovative AI-driven solutions in Gurugram, Haryana.

Qualifications

• Hands-on experience in building AI applications with agentic AI technologies.
• Experience with multi-agent systems and workflows.

Responsibilities

• Design and develop scalable AI backend systems.
• Implement RAG pipelines and AI orchestration frameworks.
• Collaborate with product and engineering teams on AI solutions.

Skills

Agentic AI Development

Generative AI Applications

Conversational AI and Voice Bots

LLM Integration and Fine-Tuning

LangChain and LangGraph

RAG (Retrieval-Augmented Generation)

AI Workflow Orchestration

Python

FastAPI/Flask

Vector Databases (Pinecone, Weaviate, ChromaDB and FAISS)

Prompt Engineering

OpenAI/Claude/Gemini APIs

REST APIs and Backend Architecture

Cloud Platforms (AWS/GCP/Azure)

Job description

We are looking for a highly skilled AI Backend Engineer with hands-on experience in building next-generation AI applications using agentic AI, generative AI, conversational AI, and voice AI technologies.

Responsibilities

• Design and develop scalable AI backend systems and intelligent agents.
• Build multi-agent workflows using LangGraph and LangChain.
• Develop voice and conversational AI applications integrated with LLMs.
• Implement RAG pipelines and AI orchestration frameworks.
• Optimise AI model interactions, latency, and backend performance.
• Collaborate with product and engineering teams to deliver AI-driven solutions.

Requirements

• Key Skills Required: Agentic AI Development, Generative AI Applications, Conversational AI and Voice Bots, LLM Integration and Fine-Tuning, LangChain and LangGraph, RAG (Retrieval-Augmented Generation), AI Workflow Orchestration, Python and FastAPI/Flask, Vector Databases (Pinecone, Weaviate, ChromaDB and FAISS), Prompt Engineering, OpenAI/Claude/Gemini APIs, REST APIs and Backend Architecture, and Cloud Platforms (AWS/GCP/Azure).

Preferred Qualifications

• Experience with autonomous AI agents and multi-agent systems.
• Knowledge of speech-to-text and text-to-speech technologies.
• Familiarity with AI observability, evaluation, and monitoring tools.
• Strong understanding of backend system design and microservices.