Internal AI Solutions Consultant
Saferoad Restraint Systems Sp. z o.o.
⚲ Gdańsk, Osowa
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
KNOWLEDGE / EXPERIENCE
Strong, demonstrable experience using LLMs (Claude, ChatGPT or similar) — prompt engineering, multi-step interactions, tool/function calling
Practical experience building or customizing AI agents, chatbots or LLM-powered automations (professional, freelance or substantial personal-project experience accepted)
Working knowledge of Python (or comparable language) sufficient to integrate APIs and assemble agent workflows
English as business language (speaking and writing)
A formal university degree in AI or machine learning is NOT required — we value demonstrable building skills over credentials
COMPETENCES
Strong analytical mindset — able to break ambiguous business problems into clear deliverable steps
Fast learner — quickly absorbs new business processes and new AI tooling
Builder mentality — bias toward shipping working prototypes over theoretical perfection
Excellent communication — comfortable with both technical colleagues and non-technical business users
Quality and detail orientation, especially around prompts, edge cases and security
Curiosity and self-drive to keep up with a fast-moving AI landscape
O projekcie:
PURPOSE OF THE JOB:
1st priority: Identify and deliver AI agent solutions that solve real business problems
2nd priority: Engage and coordinate external AI consultants when in-house delivery is not feasible
3rd priority: Maintain, monitor and improve AI agents already in production
The AI Engineer will act as a bridge between the business and the IT team — translating business needs into practical AI agents using LLM platforms such as Claude and ChatGPT, and engaging our preferred external consultants when a use case exceeds in-house capability.
REPORTS TO: Head of Group IT
MAIN INTERFACES:
• IT Manager
• Business stakeholders across the company
• IT team members (developers, sysadmins, support)
• Preferred external AI consultants
• End users of the deployed AI agents
• IT security and data protection officer
Zakres obowiązków:
1.Build AI agents that solve real business problems:
Engage with business stakeholders to identify automation and AI opportunities
Translate business needs into clear AI agent requirements and deliverables
Design, build, test and deploy AI agents using LLM platforms (Claude, ChatGPT and similar)
Apply prompt engineering, tool/function calling and basic agent orchestration
Document agents, prompts and integrations so knowledge stays inside the company
2. Engage external consultants when needed:
Where a use case exceeds in-house capability, perform a structured analysis of the problem
Scope requirements, constraints and success criteria for handover to external consultants
Coordinate the work, verify deliverables and ensure they integrate with our systems and remain maintainable in-house
3. Maintain, govern and improve AI use across the business:
Maintain agents in production: monitor performance, refine prompts, handle edge cases
Promote secure and responsible use of AI: data privacy, IP protection, GDPR and EU AI Act awareness
Stay current with developments in LLMs, agent frameworks and AI tooling
Share findings with the IT team and the wider business; raise the general AI literacy of the organization
Learn our business processes quickly and apply that knowledge in agent design
Oferujemy:
Stable employment with a competitive salary and employment contract
Hybrid work model with flexible hours
Nordic Work Culture focusing on work-life balance, fostering teamwork, and providing personal growth opportunities
Comprehensive benefits package, including but not limited to co-financed medical care, sports card, life insurance, opportunities for professional development like language course and professional training, holiday allowance, Employee Assistance Program and employee parking
KNOWLEDGE / EXPERIENCE
Strong, demonstrable experience using LLMs (Claude, ChatGPT or similar) — prompt engineering, multi-step interactions, tool/function calling
Practical experience building or customizing AI agents, chatbots or LLM-powered automations (professional, freelance or substantial personal-project experience accepted)
Working knowledge of Python (or comparable language) sufficient to integrate APIs and assemble agent workflows
English as business language (speaking and writing)
A formal university degree in AI or machine learning is NOT required — we value demonstrable building skills over credentials
COMPETENCES
Strong analytical mindset — able to break ambiguous business problems into clear deliverable steps
Fast learner — quickly absorbs new business processes and new AI tooling
Builder mentality — bias toward shipping working prototypes over theoretical perfection
Excellent communication — comfortable with both technical colleagues and non-technical business users
Quality and detail orientation, especially around prompts, edge cases and security
Curiosity and self-drive to keep up with a fast-moving AI landscape
O projekcie:
PURPOSE OF THE JOB:
1st priority: Identify and deliver AI agent solutions that solve real business problems
2nd priority: Engage and coordinate external AI consultants when in-house delivery is not feasible
3rd priority: Maintain, monitor and improve AI agents already in production
The AI Engineer will act as a bridge between the business and the IT team — translating business needs into practical AI agents using LLM platforms such as Claude and ChatGPT, and engaging our preferred external consultants when a use case exceeds in-house capability.
REPORTS TO: Head of Group IT
MAIN INTERFACES:
• IT Manager
• Business stakeholders across the company
• IT team members (developers, sysadmins, support)
• Preferred external AI consultants
• End users of the deployed AI agents
• IT security and data protection officer
Zakres obowiązków:
1.Build AI agents that solve real business problems:
Engage with business stakeholders to identify automation and AI opportunities
Translate business needs into clear AI agent requirements and deliverables
Design, build, test and deploy AI agents using LLM platforms (Claude, ChatGPT and similar)
Apply prompt engineering, tool/function calling and basic agent orchestration
Document agents, prompts and integrations so knowledge stays inside the company
2. Engage external consultants when needed:
Where a use case exceeds in-house capability, perform a structured analysis of the problem
Scope requirements, constraints and success criteria for handover to external consultants
Coordinate the work, verify deliverables and ensure they integrate with our systems and remain maintainable in-house
3. Maintain, govern and improve AI use across the business:
Maintain agents in production: monitor performance, refine prompts, handle edge cases
Promote secure and responsible use of AI: data privacy, IP protection, GDPR and EU AI Act awareness
Stay current with developments in LLMs, agent frameworks and AI tooling
Share findings with the IT team and the wider business; raise the general AI literacy of the organization
Learn our business processes quickly and apply that knowledge in agent design
Oferujemy:
Stable employment with a competitive salary and employment contract
Hybrid work model with flexible hours
Nordic Work Culture focusing on work-life balance, fostering teamwork, and providing personal growth opportunities
Comprehensive benefits package, including but not limited to co-financed medical care, sports card, life insurance, opportunities for professional development like language course and professional training, holiday allowance, Employee Assistance Program and employee parking
🔍 Dekoder Ogłoszenia
🔴
Working knowledge of Python (or comparable language) sufficient to integrate APIs and assemble agent workflows
Oczekuje się podstawowej znajomości Pythona do integracji z API i tworzenia prostych przepływów pracy, a nie zaawansowanego programowania.
🔴
Builder mentality — bias toward shipping working prototypes over theoretical perfection
Priorytetem jest szybkie dostarczanie działających prototypów, nawet jeśli nie są one idealne technicznie.
🔴
Engage and coordinate external AI consultants when in-house delivery is not feasible
Część pracy może polegać na zarządzaniu zewnętrznymi wykonawcami, a nie tylko na samodzielnym tworzeniu rozwiązań.
🟡
A formal university degree in AI or machine learning is NOT required — we value demonstrable building skills over credentials
Choć formalne wykształcenie nie jest wymagane, oczekuje się, że kandydat będzie potrafił udowodnić swoje umiejętności poprzez projekty.
🟡
Curiosity and self-drive to keep up with a fast-moving AI landscape
Oczekuje się, że kandydat będzie samodzielnie śledził rozwój technologii AI i się dokształcał.