Software Engineer - AI

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

Job summary

Deutsche Telekom Digital Labs is seeking an AI Engineer to design and ship AI-powered product features, integrating various models into robust microservices. The role requires strong software engineering capabilities in Python, knowledge of AI concepts, and hands-on experience with AI products in production. Collaborating closely with data science teams and ensuring service reliability in production are key responsibilities. This position is based in Gurugram, Haryana, India.

Qualifications

• In-depth understanding of RAG, GenAI, and LLM concepts.
• Strong software engineering skills in Python and experience with Node/Java/Go.
• Hands-on experience with AI powered products in production.

Responsibilities

• Design and ship AI-powered product features into existing services.
• Integrate models into microservices and user-facing flows.
• Own AI service reliability in production.

Skills

AI-based augmentation

RAG

LLM finetuning

Prompt engineering

Multi-Agent framework

Eval generation

Model/mcp gateway

Software engineering in Python

Node/Java/Go

REST/gRPC APIs

Microservices

Job description

Responsibilities:

• Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into our existing services, working closely with backend, frontend, and data science teams.
• Integrate off-the-shelf and in-house models (LLMs, embeddings, ML APIs) into robust microservices and user-facing flows.
• Design and implement RAG and workflow/agent pipelines: retrieval, context assembly, tools integration, guardrails, and fallbacks.
• Own AI service reliability in production: latency, throughput, cost, observability, circuitbreakers, and rollback/versioning of models and prompts.
• Collaborate with Data Scientists who own model training/finetuning and evaluation design; productionize their outputs as stable APIs/workflows.
• Implement logging, feedback capture, and lightweight online evaluation hooks to measure the quality of AI features over time.
• Ensure safety, security, and compliance for AI features: prompt injection defenses, PII handling, abuse/hallucination controls, and audit trails.
• Contribute to internal AI tooling: SDKs, templates, and reusable components to accelerate future AI use cases.

Requirements:

• Skills required: AI Engineer role demands more than AI-based augmentation with in-depth understanding of concepts like- -RAG -GenAI, LLM finetuning, Prompt engineering, Multi-Agent framework (langchain, langraph etc with hands on experience), Eval generation and their importance, Tokens usage and optimisations, Model/mcp gateway.
• Strong software engineering in Python (and one of Node/Java/Go), REST/gRPC APIs, queues, and microservices on cloud infrastructure.
• Hands-on experience shipping at least one AI powered product to production (e. g., search, recommendations, chatbots, summarization, classification).
• Practical knowledge of LLM concepts: prompts, context engineering, embeddings, vector search, basic evaluation metrics, and latency/cost trade-offs.
• Solid understanding of integration patterns with third-party AI providers (OpenAI, Anthropic, etc. ) and vector DB.
• Hands-on and good understanding of at least one agentic framework like Langgraph.