synvert, a GlobalLogic company, is a leading cloud, data, and AI services company, partnering with enterprises to design, implement, and manage end-to-end data and AI solutions that drive measurable business impact, combining deep technical expertise with strong industry knowledge across different sectors.
As part of synvert, in Portugal, you’ll join a team of experts pushing the boundaries of AI, Data, Product and Platform Engineering, working alongside an international, multidisciplinary team – all from our offices in Leiria, Lisbon and Viseu (so far!)!
Software Engineer, Applied AI
synvert a GlobalLogic company
1 day ago
Full-time
On-site
Lisbon, Portugal
About synvert a GlobalLogic company
Your Tasks
We're at an inflexion point in software engineering. The tools engineers use to build software are being rebuilt from the ground up, and the engineers who adapt first will define what good engineering looks like for the next decade. At synvert, we're not treating AI as a feature to add to how we work. We're rethinking the craft entirely: what it means to design a system, to prototype quickly, to evaluate quality, and to ship with confidence. We believe the highest-leverage engineers in the next few years will be those who use AI as a genuine force multiplier, not just those who build AI systems for others.
We're looking for a Software Engineer who has already crossed that line. Someone for whom AI tools are a first-class part of daily engineering practice, and who brings the same instinct to designing, leading, and shipping AI-powered systems for our clients.
Concretely, you will:
We're looking for a Software Engineer who has already crossed that line. Someone for whom AI tools are a first-class part of daily engineering practice, and who brings the same instinct to designing, leading, and shipping AI-powered systems for our clients.
Concretely, you will:
- Build LLM-based applications, agentic workflows, and AI-powered features that are production-ready and maintainable.
- Implement retrieval pipelines, tool integrations, and orchestration logic within agentic systems.
- Contribute to evaluation and monitoring practices for AI systems in production, helping measure and improve output quality over time.
Integrate AI capabilities into existing products and architectures with attention to reliability and performance. - Collaborate with senior engineers and product stakeholders to understand use cases and translate them into working solutions.
- Use AI coding tools (Claude Code, Cursor, Copilot, or similar) as a meaningful part of your development workflow, not just occasionally.
- Stay current with the AI tooling ecosystem and contribute informed perspectives on what's worth adopting.
- Grow your scope progressively, with team support, toward end-to-end ownership of AI system components.
What do we expect from you?
Key Requirements
- 2+ years of experience building production software systems, with exposure to AI or ML-driven features.
- Working understanding of modern AI concepts: LLMs, embeddings, retrieval systems, and at least the basics of agentic design patterns.
- Solid engineering fundamentals (Python and/or TypeScript/Node.js) and experience contributing to backend services in production.
- Ability to implement well-scoped solutions from clear technical direction, and to flag when scope or approach needs discussion.
- Thinks about whether an agent or model-driven approach could fit a problem before defaulting to traditional code.
- Genuine curiosity about how AI systems work, not just as a user, but as someone who wants to understand and improve them.
- Growth mindset: you're honest about what you don't know and proactive about closing the gap.
- Comfort with day-to-day ambiguity: you can make progress even when the full picture isn't clear.
- Pragmatic instincts: you'd rather ship something good than stall waiting for something perfect.
- Clear communicator who asks good questions and knows when to seek input.
Nice-to-Have
- Has used AI coding tools (Cursor, Claude Code, Copilot, etc.) as a meaningful part of a real project and can speak to what that changed.
- Has built a small agentic workflow, LLM-powered tool, or AI-assisted automation, even as a side project or exploration.
- Familiar with evaluation and testing approaches for AI outputs (prompt testing, output comparison, basic regression).
- Has experimented with frameworks or tools in the AI ecosystem: LangChain, LlamaIndex, LangGraph, Anthropic tool use, OpenAI function calling, or similar.
- Has replaced something they did manually with an AI-driven workflow and can describe what they learned.
- Reads about AI developments with genuine interest and forms opinions about them.
What you can expect
Perks & Benefits:
→Access to frontier AI as part of your daily work: latest models and tooling available without an approval gauntlet. We expect you to use them.
→A team that already works this way. You won't be the only one rethinking how engineering gets done. The engineers around you are experimenting, sharing, and raising the bar together.
Agile Company Culture and the Best Team
→Global Projects & Opportunities
→Social Events & Team Building
Continuous Development
→Training & Development
→Growth Opportunities
Flexible Working
→Remote Friendly Culture
Other Benefits
→Great Equipment & Tools
→Flexible Benefits
→Extra Days Off
→Health Insurance
→Access to frontier AI as part of your daily work: latest models and tooling available without an approval gauntlet. We expect you to use them.
→A team that already works this way. You won't be the only one rethinking how engineering gets done. The engineers around you are experimenting, sharing, and raising the bar together.
Agile Company Culture and the Best Team
→Global Projects & Opportunities
→Social Events & Team Building
Continuous Development
→Training & Development
→Growth Opportunities
Flexible Working
→Remote Friendly Culture
Other Benefits
→Great Equipment & Tools
→Flexible Benefits
→Extra Days Off
→Health Insurance
Hiring Process
Our process is direct and designed to respect your time
PX interview → Technical interview → Final conversation → Offer
PX interview → Technical interview → Final conversation → Offer
* The technical interview focuses on real problems, not algorithmic puzzles. We evaluate candidates holistically.
If you don't meet every requirement listed above, apply anyway. We care more about how you think and work than whether your CV matches a checklist.
See you on the other side!