Full Stack Agentic 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 seeking a passionate Full Stack Agentic AI Engineer to join their growing AI team. The ideal candidate will have experience building AI-powered applications and integrating LLMs, working across both frontend and backend technologies.

The role involves designing and deploying AI applications, optimizing workflows, and collaborating with various teams to implement AI-driven solutions.

Qualifications

• Hands-on experience with LLMs, Generative AI, and Agentic AI frameworks.
• Proficiency in Python and experience with web frameworks.
• Strong understanding of RAG architectures and integrating OpenAI models.

Responsibilities

• Design, develop, and deploy AI-powered web applications.
• Build and optimize Agentic AI systems and autonomous workflows.
• Collaborate with teams to translate business requirements into solutions.

Skills

LLMs and Generative AI frameworks

Python

AI-driven user interfaces

REST APIs

Frontend technologies (React.js, Next.js)

Education

Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field

Tools

FastAPI

Flask

Django

Docker

Kubernetes

Job description

We are looking for a passionate and hands-on Full Stack Agentic AI Engineer to join our growing AI team. The ideal candidate will have experience building end-to-end AI-powered applications, integrating LLMs, developing intelligent agents, and working across both frontend and backend technologies.

Responsibilities

• Design, develop, and deploy AI-powered web applications using modern full-stack technologies.
• Build and optimise Agentic AI systems, autonomous workflows, AI assistants, and multi‑agent frameworks.
• Integrate LLMs such as GPT, Claude, Gemini, Llama, or similar models into production applications.
• Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings.
• Build scalable backend services, APIs, and microservices to support AI applications.
• Collaborate with Product, Data Science, and Engineering teams to translate business requirements into AI-driven solutions.
• Monitor, evaluate, and improve AI model performance, latency, and reliability.
• Implement prompt engineering, tool calling, memory management, and agent orchestration techniques.
• Ensure security, scalability, and maintainability of AI solutions.

The core requirements for the job include the following:

AI and Agentic AI

• Hands‑on experience with LLMs, Generative AI, and Agentic AI frameworks.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar frameworks.
• Strong understanding of RAG architectures, vector databases, embeddings, and prompt engineering.
• Experience integrating OpenAI, Anthropic, Gemini, or open‑source LLMs.

Backend

• Proficiency in Python.
• Experience with FastAPI, Flask, Django, or Node.js.
• Strong understanding of REST APIs, microservices, and cloud‑native architectures.

Frontend

• Experience with React.js, Next.js, TypeScript, JavaScript, HTML, and CSS.
• Ability to build intuitive AI‑driven user interfaces and chat applications.

Data and Infrastructure

• Experience with PostgreSQL, MongoDB, Redis, or similar databases.
• Familiarity with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or FAISS.
• Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).

Preferred Qualifications

• Experience building AI copilots, chatbots, AI assistants, or workflow automation platforms.
• Understanding of AI evaluation frameworks and observability tools.
• Knowledge of MLOps and model deployment practices.
• Experience working in a startup or fast‑paced product environment.
• Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.