Engineering Manager

Deutsche Telekom Digital Labs; Delhi; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Deutsche Telekom Digital Labs is seeking an experienced Engineering Manager - Agentic AI to lead design, development and deployment of AI systems powered by LLMs, autonomous agents, and multi-agent architectures.

You will guide AI engineers, backend teams and platform developers to deliver production-grade Agentic AI solutions that automate complex workflows and enable intelligent decision-making across business processes.

Qualifications

• Experience leading AI/software engineering teams.
• Experience designing and deploying LLM-based systems.
• Strong collaboration with cross-functional teams.
• Hands-on knowledge of modern AI frameworks.
• Experience building scalable microservices.

Responsibilities

• Lead a team of AI, backend and platform engineers and drive engineering excellence.
• Own project planning, sprint execution, delivery timelines and quality.
• Collaborate with Product, Design, Data Science and DevOps to deliver AI products.
• Build a high-performance culture focused on innovation and continuous learning.

Skills

Leadership

People management

Software architecture

Project planning

Collaboration

AI frameworks

Code reviews

Design reviews

Sprint execution

Tools

Agent frameworks

Vector databases

REST APIs

Event-driven architectures

Observability tools

Job description

We are looking for an experienced Engineering Manager - Agentic AI to lead the design, development, and deployment of next-generation AI systems powered by Large Language Models (LLMs), autonomous AI agents, and multi-agent architectures. You will lead a team of AI engineers, backend engineers, and platform developers to build production-grade Agentic AI solutions that automate complex business workflows and deliver intelligent decision-making capabilities. This role requires a combination of technical leadership, people management, software architecture expertise, and hands-on knowledge of modern AI frameworks.

The candidate will have responsibilities across the following functions:

Engineering Leadership:

• Lead and mentor a team of AI Engineers, Backend Engineers, and Full Stack Developers.
• Drive engineering excellence through code reviews, design reviews, and best practices.
• Own project planning, sprint execution, delivery timelines, and engineering quality.
• Collaborate with Product, Design, Data Science, and DevOps teams to deliver AI products.
• Build a high-performance engineering culture focused on innovation and continuous learning.

Agentic AI Development:

• Design and build autonomous AI agents capable of planning, reasoning, memory management, and tool execution.
• Develop multi-agent systems for workflow automation and enterprise use cases.
• Build intelligent orchestration pipelines using modern agent frameworks.
• Implement AI agents with long-term memory, retrieval, planning, and reflection capabilities.
• Develop secure AI systems with human-in-the-loop validation where required.

LLM and AI Platform:

• Integrate commercial and open-source LLMs.
• Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Design prompt engineering strategies and AI evaluation frameworks.
• Optimise latency, cost, and accuracy of LLM-based applications.
• Build reusable AI SDKs and internal AI platforms.

Backend and Platform Engineering:

• Architect scalable microservices supporting AI workloads.
• Develop REST APIs and event-driven services.
• Design distributed systems capable of handling high-volume AI requests.
• Build observability, monitoring, and logging for AI services.