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Salary
$64k – $110k per year (Estimated)
Location
Remote (Poland)
Employment
Full-Time
Overview
Company
Impact
Profile match
Sigma Software Group is a global software engineering and IT consulting company founded in 2002. Part of the Swedish IT consultancy group Sigma AB (owned by Danir AB) since 2006, the company combines Nordic management practices with Eastern European software engineering talent.

Are you passionate about building intelligent systems that can think, act, and adapt? At Sigma Software, we work on innovative AI-driven solutions that push the boundaries of technology. In this role, you will design, build, and optimize cutting-edge AI deployment systems - from autonomous agents to complex orchestration layers - for both greenfield products and established platforms.

We are seeking a highly skilled AI Deployment Engineer to lead the implementation of advanced AI solutions in operational environments. This role requires strong customer-facing presence, exceptional advisory skills, and the ability to design and deploy AI systems that deliver measurable organizational impact.

Requirements

  • 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.

  • Excellent communication and stakeholder management skills.

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.

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