Lead AI Engineer - Agentic

Deutsche Telekom Digital Labs • Python • 1 month ago
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Salary
≈ $32k – $77k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Staff · 7+ years exp
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Deutsche Telekom Digital Labs

DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.
dtdl.in • HQ: Gurgaon, India • Information Technology • Telecommunications • Mobile Networks • 1001-5000 employees • Est. 2018

We're looking for a lead AI engineer with strong hands-on experience in building agentic AI systems and orchestration frameworks. This role is ideal for someone who thrives on designing intelligent, autonomous systems and scaling AI-driven products.

Responsibilities:

  • Design and build Agentic AI systems using LLMs, tools, and multi-agent frameworks.
  • Lead development of AI orchestration pipelines (LangChain, CrewAI, Semantic Kernel, etc. )
  • Architect scalable RAG-based and tool-augmented AI solutions.
  • Collaborate with product and engineering teams to deliver AI-first experiences.
  • Optimise performance, latency, and cost of AI systems in production.

Requirements:

  • 7-12 years of experience with strong backend + AI/ML exposure.
  • Hands-on experience with LLMs, agents, and orchestration frameworks.
  • Proficiency in Python, APIs, microservices, and cloud (AWS/GCP/Azure).
  • Experience with vector DBs, embeddings, and prompt engineering.
  • Strong system design and problem-solving skills.

Good to Have:

  • Experience building multi-agent workflows or autonomous systems.
  • Exposure to B2C/D2C product environments.
  • Familiarity with real-time AI applications (voice/chat agents).
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