Senior GenAI Engineer for Production AI Apps

Knowit

Finland

Hybrid

EUR 65,000 - 73,000

Full time

5 days ago
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Benefits offered by this job

Lunch and commuting benefits
Extensive occupational healthcare
Work equipment provided
Remote work flexibility

Job summary

Knowit is seeking a (Senior) AI Engineer to design and build GenAI applications, taking solutions from idea to production. You will focus on the application layer, building LLM-powered services, RAG solutions and AI agents, and ensuring reliable operation in real world use.

The role is hands-on and client-facing, translating business needs into concrete use cases, and making informed AI decisions while considering security, latency and cost efficiency.

Qualifications

  • Experience designing and building GenAI applications for production.
  • Strong Python and software engineering practices.
  • Experience with agents and AI workflows and tool calling.
  • Ability to work with enterprise data, SQL, and data pipelines.
  • Understanding of production AI requirements, latency and security.

Responsibilities

  • Design and build GenAI applications and LLM-powered services.
  • Develop Python backends, APIs and integrations with enterprise systems.
  • Create AI workflows and agents that interact with business processes.
  • Connect LLMs with documents, databases and access controls.
  • Deploy and monitor production AI, with guardrails for safety and cost.

Skills

LLM development
GenAI
Python
AI workflows
Enterprise data
Cloud platforms
AI safety
AI-assisted coding

Tools

LangGraph
Semantic Kernel

Job description

Knowit is seeking a (Senior) AI Engineer to design and build GenAI applications, taking solutions from idea to production. You will focus on the application layer, building LLM-powered services, RAG solutions and AI agents, and ensuring reliable operation in real world use.

The role is hands-on and client-facing, translating business needs into concrete use cases, and making informed AI decisions while considering security, latency and cost efficiency.

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