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Senior Artificial Intelligence Engineer - EU based candidates at Talentuch

Key Facts

Full time
Senior (5-10 years)
English

Other Skills

  • β€’
    Collaboration
  • β€’
    Problem Solving
  • β€’
    Adaptability

Roles & Responsibilities

  • BSc or higher in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
  • Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
  • Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.

Requirements:

  • Design, build, and maintain real-time AI-powered APIs and services in Python.
  • Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
  • Develop agentic logic and reasoning pipelines for conversational and task-based automation.
  • Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.

Job description

We’re building agentic AI for real-world CX. As an AI Engineer at HiO, you’ll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.

What you’ll do

  • Design, build, and maintain real-time AI-powered APIs and services in Python.
  • Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
  • Develop agentic logic and reasoning pipelines for conversational and task-based automation.
  • Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
  • Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
  • Ensure high performance, reliability, and data security across production workloads.
  • Deploy and manage applications on modern cloud environments (AWS / GCP)
  • Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
  • Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

What We’re Looking For

  • BSc or higher in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
  • Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
  • Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.
  • Familiarity with LangGraph, LangChain, or similar orchestration frameworks.
  • Strong understanding of MLOps, microservices, and distributed architectures.
  • Solid grasp of SQL/NoSQL databases, message queues, and scalable data design.
  • Experience deploying applications to AWS, GCP, or similar cloud platforms.
  • Ownership mindset - comfortable operating across the stack and figuring things out fast.
  • Excited to work in a fast-paced startup environment where priorities shift quickly and impact is immediate.

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