AI Platform Engineer
New
G
GatekeeperSaaS
PolandFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Python
Requirements
- Strong Python experience for scripting, automation and AI workflows.
- Hands-on experience implementing or operating AI/LLM-powered systems (agents, copilots, automations, RAG, decision support, etc.).
- Experience integrating systems via APIs, webhooks or third-party tools.
- Comfort working with data from multiple sources (documents, forms, databases, SaaS tools).
- Ability to reason AI behaviour, failure modes and edge cases.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Excellent communication skills and confidence working directly with internal stakeholders.
- Experience using AI-assisted tooling (e.g. Cursor, Claude Code, Copilot or similar).
- High ownership mindset with a focus on outcomes, not theory.
Responsibilities
- Implement and deploy AI agents into internal Gatekeeper workflows.
- Work directly with internal teams (Product, Marketing, Finance, Sales, Account Management, Operations, Professional Services) to understand processes and identify high-impact AI use cases.
- Configure agent behaviour through prompts across different tools, rules and guardrails.
- Integrate AI agents with existing systems, data sources and internal tools via APIs, webhooks and integrations.
- Use Python for orchestration, data handling, light automation and evaluation.
- Test, iterate and refine AI agents based on real usage and feedback.
- Monitor deployed agents for accuracy, reliability and business impact, escalating issues where deeper platform changes are needed.
- Collaborate with the Senior AI Platform Engineer on agent standards, tooling, observability, governance and ROI.
- Document implementations and help establish repeatable internal AI deployment patterns.
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