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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, building, and deploying AI applications and workflows, particularly on Google Cloud. Strong ability to translate business needs into technical requirements while collaborating with stakeholders and mentoring engineers.
Highest-signal resume keywords
Google Cloud ExperienceAI Solution DeliveryLLM Application DevelopmentAgentic Workflow DesignAPI Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Application DevelopmentMulti-Agent SolutionsData Pipeline DevelopmentTroubleshootingSecurity and Maintenance
Soft Skills
Business AcumenTechnical CommunicationMentoring
Tools & Technologies
Google Cloud PlatformVertex AIGemini EnterpriseMCP
Industry Keywords
AI SecurityGovernance in ProductionML EngineeringRAG Solutions
Tech Stack
Tools & technologiesCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Understand customers' businesses and identify where AI creates measurable value
- Translate business needs into buildable technical requirements and plans
- Assess feasibility and support presales with solution ideas
- Design, build, test and deploy AI applications and agentic workflows, including multi-agent solutions
- Build LLM applications, RAG solutions and integrations with existing systems, mainly on Google Cloud
- Contribute to ML components and data pipelines when needed
- Own technical workstreams and collaborate with cloud architects on secure, production-ready solutions
- Explain technical choices and limitations to operational staff and senior leadership
- Help customers develop their own AI capabilities
- Work with customers from initial discovery through deployment and ongoing improvement
- Shape Gapps' AI delivery practices and help onboard or mentor new engineers
Requirements
What you’ll need- Hands-on Google Cloud experience, including building and deploying on GCP in customers' existing environments
- Experience delivering AI solutions used in real operations beyond experiments and demos
- Ability to design, build and troubleshoot agents, agentic workflows, LLM applications, RAG solutions and API integrations
- Understanding of security and maintenance after go-live
- Business sense and ability to assess whether a use case is worth building
- Ability to explain technical options and limits to non-technical stakeholders
- Experience with Google Cloud technologies; certifications are helpful but not required
- Fluent English
- Finnish is a big plus
- Nice to have: Gemini Enterprise deployments, Vertex AI, MCP, multi-agent orchestration, ML engineering, data pipelines, AI security and governance in production
- Must be based in Finland and already have the right to work there
Benefits
Comp & perks- Shared team billing bonus paid monthly: 900 € a month at target billing, uncapped, typically 10,000–20,000 € a year
- Extensive occupational healthcare and insurance covering physical and mental wellbeing
- Lunch, sport and culture benefits
- Google Cloud certifications completed on company time
- Support for other relevant professional development
- Dedicated working-hours time for studying and developing expertise
- Ergonomic workstations
- Quiet focus rooms
- On-site gym
- Snacks
- Proper home workstation provided for remote days