Fullstack Engineer (AI)

Deutsche Telekom Digital Labs • JavaScript • Python • TypeScript • 1 month ago
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Salary
≈ $15k – $40k per year (Estimated)
Location
In office (Delhi)
Seniority
Junior · 2+ 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 are looking for a highly motivated Full Stack AI Engineer with 2-5 years of experience in building scalable web applications and AI-powered solutions. The ideal candidate should have strong expertise in Python, React.js, Generative AI, Agentic AI frameworks, LLMs, and API developmentYou will be responsible for designing, developing, and deploying intelligent applications that leverage AI agents, RAG pipelines, and modern frontend technologies.

Responsibilities:

  • Design and develop end-to-end AI-powered applications using Python and React.js .
  • Build and deploy Agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases.
  • Integrate LLMs such as OpenAI GPT, Claude, Gemini, Llama, or Mistral into production applications.
  • Build scalable RESTful APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.
  • Develop responsive and user-friendly interfaces using React.js, TypeScript, HTML5 and CSS.
  • Implement prompt engineering, tool calling, memory management, and multi-agent workflows.
  • Integrate AI applications with databases, third-party APIs, and cloud services.
  • Collaborate with Product Managers, Designers, and Engineering teams to deliver AI-driven features.
  • Monitor AI application performance, optimize latency, and improve model responses.
  • Participate in code reviews, architecture discussions, and technical design sessions.
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