AI Transformation Engineer

Jobtailor; Lisboa; Presencial; EUR 65 000 - 95 000; Tempo integral

Resumo da oferta

Jobtailor in Lisbon is seeking a leader to translate business needs into concrete AI solutions, design, build, and deploy internal AI-powered tools using LLMs, automation, and workflows. You will move prototypes quickly into production-ready systems and ensure reliability, scalability, and security across deployments.

You will collaborate with Sales, Finance, Customer Success, HR, Product, and other teams to understand workflows, prioritize high-impact use cases, and own AI products from

Qualificações

• 3–8 years of experience in software engineering, product engineering, or similar roles.
• Hands-on experience putting LLM-based solutions into production, not only prototyping them.
• Experience making solutions reliable after launch through evaluation, testing, monitoring, and handling failure cases.
• Familiarity with SaaS environments and technology stacks such as Salesforce, Slack, M365, and Snowflake.
• Strong data and integration skills, including SQL, APIs, data modelling, and pipelines.
• Experience with automation tools such as Zapier, Make, or equivalent is a plus.
• Ability to work with multiple AI models and understand their trade-offs.
• Solid engineering fundamentals and coding knowledge.
• Builder mindset and ability to ship working solutions.
• Strong business intuition focused on real user impact.
• Ability to operate in ambiguity and define an independent roadmap.
• Strong collaboration skills across technical and non-technical teams.
• Curiosity, fast learning, and hands-on use of new tools.

Responsabilidades

• Translate business needs into concrete AI solutions.
• Design, build, and deploy internal AI-powered tools using LLMs, automation, and workflows.
• Move prototypes quickly into production-ready solutions.
• Ensure solutions are reliable, usable, scalable, robust, secure, compliant, and maintainable.
• Work directly with Sales, Finance, Customer Success, HR, Product, and other teams to understand workflows.
• Prioritize high-impact AI use cases.
• Bridge technical possibilities and operational needs.
• Enable teams to adopt and use built solutions.
• Own internal AI products from ideation through deployment.
• Make pragmatic trade-offs among speed, quality, and scalability.
• Continuously improve solutions based on feedback and usage.
• Build automations using APIs, no-code/low-code platforms, and custom scripts.
• Integrate AI capabilities into CRM, support, finance, and other existing systems.
• Leverage multiple AI models and providers according to use cases.
• Stay current with AI tools and capabilities.
• Rapidly test approaches and identify what works in practice.
• Proactively bring new AI ideas to the organization.
• Contribute to internal AI guidelines and responsible data usage.
• Deliver multiple internal AI tools used weekly, productivity gains, a continuous use-case pipeline, and robust, scalable, well-adopted solutions.

Conhecimentos

LLM Deployment

APIs & Automation

Data Integration & SQL

Cross-Team Collaboration

Prototyping to Production

Builder Mindset

SaaS Familiarity

Problem Solving

Ferramentas

Salesforce

Slack

M365

Snowflake

Zapier

Make

No-Code/Low-Code Platforms

Descrição da oferta de emprego

• Translate business needs into concrete AI solutions
• Design, build, and deploy internal AI-powered tools using LLMs, automation, and workflows
• Move prototypes quickly into production-ready solutions
• Ensure solutions are reliable, usable, scalable, robust, secure, compliant, and maintainable
• Work directly with Sales, Finance, Customer Success, HR, Product, and other teams to understand workflows
• Prioritize high-impact AI use cases
• Bridge technical possibilities and operational needs
• Enable teams to adopt and use built solutions
• Own internal AI products from ideation through deployment
• Make pragmatic trade-offs among speed, quality, and scalability
• Continuously improve solutions based on feedback and usage
• Build automations using APIs, no-code/low-code platforms, and custom scripts
• Integrate AI capabilities into CRM, support, finance, and other existing systems
• Leverage multiple AI models and providers according to use cases
• Stay current with AI tools and capabilities
• Rapidly test approaches and identify what works in practice
• Proactively bring new AI ideas to the organization
• Contribute to internal AI guidelines and responsible data usage
• Deliver multiple internal AI tools used weekly, productivity gains, a continuous use-case pipeline, and robust, scalable, well-adopted solutions

Requirements

• 3-8 years of experience in software engineering, product engineering, or similar roles
• Hands-on experience putting LLM-based solutions into production, not only prototyping them
• Experience making solutions reliable after launch through evaluation, testing, monitoring, and handling failure cases
• Familiarity with SaaS environments and technology stacks such as Salesforce, Slack, M365, and Snowflake
• Strong data and integration skills, including SQL, APIs, data modelling, and pipelines
• Experience with automation tools such as Zapier, Make, or equivalent is a plus
• Ability to work with multiple AI models and understand their trade-offs
• Solid engineering fundamentals and coding knowledge
• Builder mindset and ability to ship working solutions
• Strong business intuition focused on real user impact
• Ability to operate in ambiguity and define an independent roadmap
• Strong collaboration skills across technical and non-technical teams
• Curiosity, fast learning, and hands-on use of new tools

Core Competencies

Demonstrates expertise in designing, building, and deploying AI-powered tools, with a strong focus on integrating AI capabilities into existing systems and ensuring solutions are reliable, scalable, and user-centric. Proficient in leveraging multiple AI models and automation tools to drive productivity and continuous improvement.

Highest-signal resume keywords

• LLM-Based Solutions Deployment
• APIs and Automation Tools
• Data Integration and SQL
• Collaboration Across Teams
• AI Model Evaluation and Trade-Offs

Hard Skills

• Software Engineering
• Product Engineering
• LLM Implementation
• Data Modelling
• SQL
• APIs
• Automation Tools
• Coding Knowledge
• Prototyping
• Testing and Monitoring

Soft Skills

• Collaboration Skills
• Business Intuition
• Curiosity
• Fast Learning
• Builder Mindset

Industry Keywords

• AI Solutions
• SaaS Environments
• Internal AI Products
• Automation Workflows
• Continuous Improvement

Tools & Technologies

• Salesforce
• Slack
• M365
• Snowflake
• Zapier
• Make
• No-Code/Low-Code Platforms