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AI Engineer - LLM Applications

DEUTSCHE TELEKOM DIGITAL LABS PRIVATE LIMITED
3 - 6 Years
Multiple Locations

Posted on: 21/05/2026

Job Description

Description :

About the Role :

We are looking for an AI Engineer with strong hands-on development experience in Generative AI and Large Language Model (LLM)-based applications.

The ideal candidate should be an individual contributor who can design, develop, test, and deploy AI-powered applications and automation solutions.

This role is best suited for candidates who have worked directly on building Conversational AI applications, AI agents, copilots, or RAG-based solutions in product-driven engineering environments.

Key Responsibilities :

- Design and develop AI-powered applications using LLM platforms such as OpenAI, Azure OpenAI, or similar technologies.

- Build and enhance :

1. Conversational AI applications

2. AI Chatbots

3. AI Agents

4. Copilots

Automation workflows :

- Implement Retrieval-Augmented Generation (RAG) pipelines and vector search capabilities.

- Develop backend AI services and APIs using Python.

- Integrate AI solutions with enterprise systems, APIs, databases, and workflows.

- Work with frameworks such as LangChain and LangGraph for orchestration and agent workflows.

- Deploy AI applications on cloud platforms such as Azure, AWS, or GCP.

- Optimize prompts, workflows, and inference performance for AI applications.

- Participate in debugging, testing, and production deployment activities.

- Collaborate with engineering and product teams to deliver scalable AI features.

Required Skills & Qualifications :

- 3 to 6 years of experience in Software Engineering / AI Engineering.

- Strong programming expertise in Python.

- Hands-on experience with :

1. LLMs (OpenAI / Azure OpenAI)

2. RAG implementations

3. Vector databases / semantic search

4. Conversational AI applications

5. Agentic AI frameworks

- Experience building and deploying AI applications or AI agents into production.

- Hands-on experience with :

1. LangChain

2. LangGraph

3. REST APIs

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Strong debugging and problem-solving capabilities.

- Good understanding of scalable AI application architecture.

Mandatory Requirements :

- Product company experience is mandatory.

- Candidates should have hands-on coding and development experience in AI applications.

- Must have experience building AI agents/chatbots/copilots from scratch or contributing significantly to production deployments.

Ideal Candidate Profile :

- Strong individual contributor with execution-focused mindset.

- Passionate about Generative AI and emerging AI technologies.

- Comfortable working in fast-paced product engineering teams

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