Senior Software Engineer - AI

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

Job summary

Deutsche Telekom Digital Labs is seeking an AI Engineer to design and ship AI-powered product features. This role requires strong software engineering skills in Python, knowledge of AI concepts, and hands-on experience shipping AI products to production. Responsibilities include integrating ML APIs into services, ensuring AI reliability, and collaborating with data scientists on model training. Ideal candidates will understand third-party integrations and have experience with agent frameworks.

Qualifications

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

Responsibilities

• Design and ship AI-powered product features.
• Integrate LLMs and ML APIs into user-facing flows.
• Own AI service reliability in production.

Skills

AI concepts mastery

Software engineering in Python

REST/gRPC APIs

Microservices

Hands-on experience with AI products

Integration with third-party AI providers

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.