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AI Engineer-FullStack

Deutsche Telekom
Haryana, IND
Onsite
Discovered 1 months ago
PythonNode.js, Java, or GoREST APIsgRPC APIsQueuesCloud microservices

Full Job Posting

Role Focus

Design and ship AI-powered product features into existing services, working with backend, frontend, and data science teams.

The role focuses on production AI applications, including LLMs, RAG, agents, and ML APIs.

Responsibilities

  • Integrate third-party and in-house models, embeddings, and ML APIs into robust microservices and user-facing flows.
  • Design and implement retrieval, context assembly, tool integration, guardrail, and fallback pipelines.
  • Own production reliability for AI services, including latency, throughput, cost, observability, circuit breakers, and model or prompt versioning.
  • Collaborate with data scientists to productionize model outputs as stable APIs and workflows.
  • Implement logging, feedback capture, and lightweight online evaluation hooks for AI feature quality.
  • Ensure safety, security, and compliance through prompt-injection defenses, PII handling, abuse and hallucination controls, and audit trails.
  • Contribute to internal AI tooling, including SDKs, templates, and reusable components.

Ideal Profile

  • Strong software engineering experience in Python and one of Node.js, Java, or Go.
  • Experience with REST or gRPC APIs, queues, and microservices on cloud infrastructure.
  • Hands-on experience shipping at least one AI-powered product to production.
  • Practical knowledge of prompts, context engineering, embeddings, vector search, and basic evaluation metrics.
  • Understanding of latency and cost trade-offs for AI features.
  • Solid understanding of integrations with third-party AI providers such as OpenAI or Anthropic and vector databases.
  • Hands-on experience with at least one agentic framework such as LangGraph.

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