AI Engineer-FullStack
Deutsche Telekom AG (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 25–45 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and deploy AI-powered features (LLMs, RAG, agents, ML APIs) integrated into existing services across backend, frontend, and data science workflows.
- Ensure AI service production reliability including performance (latency, throughput), cost optimization, observability, and rollback/versioning mechanisms.
- Implement safety and compliance measures for AI features (prompt injection defenses, PII handling, abuse controls) and contribute to internal AI tooling for reuse and acceleration.
Minimum Requirements
- Strong software engineering skills in Python plus one of Node.js, Java, or Go.
- Experience building and shipping at least one AI-powered product to production (e.g., search, chatbots, recommendations).
- Practical knowledge of LLM concepts including prompts, context engineering, embeddings, vector search, and evaluation metrics.
- Familiarity with integration of third-party AI providers (OpenAI, Anthropic) and agentic frameworks like Langraph.
Ideal Candidate Profile
- Experienced in designing and operating microservices and APIs in cloud infrastructure environments.
- Ability to collaborate closely with data science teams to productionize trained models as stable APIs.
- Strong focus on operationalizing AI features with safety, security, observability, and cost/latency trade-offs in mind.