AI Platform Engineer | REMOTE (POLAND) at Gatekeeper

, , Poland -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

0.0

Posted On

18 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI Agents, APIs, Webhooks, Automation, Data Handling, Problem-Solving, Communication, AI-Assisted Tooling, Integration, Workflow Automation, Agent Frameworks, SaaS, Organizational AI Adoption, Change Management

Industry

Software Development

Description

THE COMPANY Gatekeeper is a SaaS-based, next-generation Vendor & Contract Lifecycle Management platform. We help organisations reduce risk, improve compliance and maximise value. As part of our journey to becoming an AI-first company, we are embedding AI agents deeply into how Gatekeeper operates internally. These agents are not experiments; they actively support decision-making, approvals, reviews and operational workflows across the business. We’re hiring AI Platform Engineers to accelerate this transformation by working directly with teams to implement, integrate and maintain AI agents at scale. THE ROLE The AI Platform Engineer is a hands-on, execution-driven role focused on deploying AI into real business workflows. You will help shape our internal AI platform and agent frameworks and apply them inside the organisation. You will work closely with our Senior AI Platform Engineer, acting as the bridge between AI capability and day-to-day business execution. This role suits someone who is technical, pragmatic and product-minded. WHAT YOU’LL DO 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. 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. NICE TO HAVE Familiarity with agent frameworks or orchestration tools (e.g. LangChain, LangGraph or similar). Experience configuring workflow automation tools or internal platforms. Experience in SaaS, operations, RevOps, LegalOps or similar environments. Interest in organisational AI adoption and change management. WHAT THIS ROLE IS NOT A research or ML training role. A core platform or infrastructure engineering role. Focused on building large production codebases. It is about making AI work in the real world, quickly and reliably. Generous remuneration 100% remote working: no offices and no commute Generous holiday allowance Monthly health and wellbeing perk Learning & Development opportunities for lifelong learners Technology: we provide everything you need to do your best work Gatekeeper for Good: Match funding to support non-profit organisations in your local community Gatekeeper retreats We live by our company vision and values. If these ring true to you, then we’d like to talk to you. Gatekeeper offers a diverse and multicultural working environment, currently spanning 15 countries. We respect each other’s differences and welcome candidates from all backgrounds.

Responsibilities

The AI Platform Engineer will implement and deploy AI agents into internal workflows and collaborate with various teams to identify high-impact AI use cases. They will also monitor deployed agents for accuracy and business impact while documenting implementations.