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Spektr

AI Engineer

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Description

You will own the end-to-end AI roadmap, including model selection and product integration. You will design and deploy LLM-powered features, autonomous agents, RAG pipelines, and document-understanding capabilities. You will translate compliance problems into scalable AI solutions, evaluate model performance, research relevant AI advances, and make AI outputs accurate, explainable, and reliable.

Responsibilities

  • Own the end-to-end AI roadmap and model integration
  • Design and deploy LLM-powered features, autonomous agents, RAG pipelines, and document-understanding capabilities
  • Translate compliance problems into scalable AI solutions
  • Research AI and machine-learning papers and releases
  • Build reliable, accurate, explainable, and hallucination-free AI outputs

Requirements

  • 2+ years of experience in machine learning, AI, data, or backend roles
  • Deep understanding of modern LLM stacks
  • Strong TypeScript or Python skills
  • Experience with LangChain or equivalent orchestration frameworks
  • Experience building production-grade RAG pipelines
  • Knowledge of embeddings, retrieval strategy, and re-ranking
  • Experience with evaluation frameworks
  • Experience deploying AI services in AWS or containerized environments
  • Ability to communicate model architecture trade-offs and technical bottlenecks

Skills

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See also

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