AI Deployment Engineer: Build Production-Grade AI Systems

Sigma Software

Kraków

On-site

PLN 60,000 - 85,000

Full time

14 days+

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Job summary

Sigma Software in Kraków, Poland is looking for an AI Deployment Engineer to design, build, and optimize advanced AI deployment systems. The ideal candidate will lead the implementation of AI solutions in operational environments and possess strong customer-facing skills.

This role involves collaborating with customers, providing strategic guidance, and translating business challenges into actionable technical plans. The position requires expertise in AI frameworks and a proven track record in AI/ML deployment.

Qualifications

  • Proven experience in AI/ML deployment and system engineering.
  • Strong proficiency in AI frameworks.
  • Expertise in large language models, retrieval-augmented generation, and AI agents.

Responsibilities

  • Collaborate directly with customers, providing strategic guidance and technical expertise.
  • Own the vision for AI operations implementation, building end-to-end workflows and taking them to production.
  • Translate complex business challenges into actionable technical plans.
  • Rapidly prototype AI solutions to demonstrate possibilities to clients.
  • Engineer production-grade AI solutions with deep knowledge of AI tooling, architecture, and deployment.
  • Manage stakeholder alignment, proactively escalating issues and requesting support when necessary.
  • Design and build LLM workflows, RAG pipelines, agentic systems, and custom data pipelines.

Skills

AI/ML deployment
AI frameworks
Large language models
Stakeholder management

Job description

Sigma Software in Kraków, Poland is looking for an AI Deployment Engineer to design, build, and optimize advanced AI deployment systems. The ideal candidate will lead the implementation of AI solutions in operational environments and possess strong customer-facing skills.

This role involves collaborating with customers, providing strategic guidance, and translating business challenges into actionable technical plans. The position requires expertise in AI frameworks and a proven track record in AI/ML deployment.

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