AI Engineer

Deutsche Telekom Digital Labs; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Deutsche Telekom Digital Labs is seeking an AI Engineer in Bengaluru, India. This role involves designing and shipping AI-powered product features while ensuring service reliability and collaborating with data science teams.

Ideal candidates will have strong software engineering skills in Python, experience in deploying AI products to production, and a solid understanding of LLM concepts. Join us to innovate and contribute to cutting-edge AI solutions.

Qualifications

• Strong software engineering skills in Python and familiarity with Node, Java, or Go.
• Experience shipping AI products to production.
• Knowledge of LLM concepts and integration patterns.

Responsibilities

• Design AI-powered product features integrating with existing services.
• Ensure service reliability in production regarding latency and observability.
• Collaborate with data scientists to productionise AI model outputs.

Skills

Software engineering in Python

REST/gRPC APIs

Microservices on cloud infrastructure

AI-powered product experience

LLM concepts knowledge

Third-party AI providers integration

Agentic framework understanding

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, circuit breakers, and rollback/versioning of models and prompts.
• Collaborate with data scientists who own model training/fine-tuning and evaluation design; productionise 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 defences, 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:

• 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, summarisation, 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.

Skills required:

• The AI Engineer role demands more than AI‑based augmentation with an in-depth understanding of concepts like RAG, GenAI, LLM finetuning, prompt engineering, multi‑agent frameworks (LangChain, LangGraph, etc., with hands‑on experience), eval generation and its importance, token usage and optimisations, and model/MCP gateways.