Senior Software Engineer, Applied AI

About synvert a GlobalLogic company

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!)

About Us

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 Senior 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:

• Lead the design and implementation of multi-step agentic pipelines, LLM-based applications, and AI-powered workflows, taking end-to-end responsibility from architecture through to production.
• Define and own evaluation frameworks and feedback loops for AI systems in production: prompt regression suites, output quality monitoring, and continuous improvement cycles.
• Make architectural decisions on AI system design (model selection, orchestration strategy, retrieval approach, latency and cost trade-offs) and explain the reasoning clearly to engineering and product stakeholders.
• Identify high-impact AI opportunities in complex client environments, translate them into actionable technical proposals, and lead their execution.
• Integrate modern AI capabilities (agentic orchestration, structured generation, tool use, model routing) into existing architectures with a clear eye on reliability and maintainability.
• Set the bar for engineering practice on the team: code quality, observability, evaluation rigour, and responsible AI deployment.
• Use AI coding tools (Claude Code, Cursor, Copilot, or similar) as a primary part of your development workflow, not an occasional aid, and help the team level up in how they work.
• Stay at the frontier of the AI tooling ecosystem and bring informed opinions on what's worth adopting into practice.

What do we expect from you?

Key Requirements

• 5+ years of experience building production software systems, with at least 2 years working on AI or ML-driven features in production .
• Deep understanding of modern AI concepts: LLMs, embeddings, retrieval systems, agentic design patterns, evaluation frameworks, and observability for AI systems.
• Strong engineering fundamentals (Python and/or TypeScript/Node.js) and a track record of building reliable, scalable backend services.
• Demonstrated ability to lead technical decisions (architecture, trade-offs, technology selection) and communicate them clearly across engineering and product.
• Experience designing and owning systems under real-world constraints: performance, cost, reliability, and long-term maintainability.
• Ability to take ambiguous, open-ended problems and drive them to well-scoped, shippable solutions with minimal direction.
• High agency: you operate autonomously, make decisions, and flag clearly when you need input.
• Defaults to asking "can an agent or model handle this?" before reaching for a traditional approach, and knows when the answer is no.
• Pragmatic over perfectionist: you know when "good enough in production" beats "perfect in theory," and when it doesn't.
• Low ego, high standards: you hold the bar without holding the room hostage.

Nice-to-Have

• Has shipped real products using AI-assisted coding workflows and can speak concretely to what changed in their engineering process.
• Has designed and operated LLM evaluation harnesses, red-teaming pipelines, or output regression frameworks at scale.
• Active user of (or contributor to) the emerging AI tooling ecosystem: MCP, agent protocols, model routers, LLMOps tooling.
• Experience with the full prompt engineering lifecycle in production: versioning, A/B testing outputs, and monitoring for drift.
• Has rebuilt an internal workflow or tool they previously did manually by replacing it with an agentic system, and can describe what they learned.
• Comfortable reading frontier AI research and forming opinions on what's worth adopting versus what's hype.
• Experience mentoring or technically guiding other engineers on AI system design.

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

Hiring Process

Our process is direct and designed to respect your time

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.