Forward AI Deployment Engineer

🕒 August 26

🌐 Germany, Poland – Remote

🇩🇪 Germany – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Embed directly with the client's operational team to identify workflows costing time, quality, or money • Redesign decision flows and handoffs around AI and take the resulting system into production • Translate cross-functional business problems into executable technical plans • Prototype quickly to demonstrate possibilities and build only the production-required components • Build agentic systems, RAG pipelines, or custom data pipelines when required by the workflow • Manage stakeholder alignment across the client's organization and escalate blockers early • Pair with the client's team, explain decisions, and enable them to operate and improve the system • Build telemetry, evaluation pipelines, and human-in-the-loop review feedback loops • Create reusable production patterns, infrastructure, and governance for future engagements

🎯 Requirements

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox • Strong and current proficiency with LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines • Comfort mapping partly undocumented decision logic • Judgment about where automation should stop and human accountability should start • Excellent communication and stakeholder management • Ability to advise a client directly and escalate without being asked

🏖️ Benefits

• Employees can work remotely

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