AI Engineer - Squad Lead

eXalt Fi; Porto; On-site; EUR 70,000 - 100,000; Full time

Job summary

eXalt Fi is seeking an AI Delivery Engineer to lead a hands-on delivery squad within its AI Team. You will design, build, deploy, and operate production-grade AI solutions, focusing on end-to-end lifecycles and stakeholder alignment.

In this role, you’ll mentor engineers, manage backlogs, and collaborate with business and IT partners to turn complex needs into scalable AI services, with a strong emphasis on reliability, security, and observability. English proficiency is required.

Qualifications

• 3–4+ years of hands‑on Generative AI delivery experience.
• Proficient with LLMs, agentic systems and RAG pipelines.
• Experience moving AI solutions from PoC to production environments.
• Strong software engineering foundations: testing, CI/CD, observability.
• Cloud deployment experience, AWS is a strong advantage.
• Excellent ownership, prioritisation and problem‑solving skills.
• Fluent written and spoken English for stakeholder communication.

Responsibilities

• Design, build, test, deploy, and operate AI solutions including agentic workflows and APIs.
• Own the full technical lifecycle from use-case framing to production monitoring.
• Write and review production code with best practices in testing and security.
• Manage the squad backlog and roadmap with clear priorities.
• Mentor engineers and resolve delivery blockers.
• Collaborate with business and IT stakeholders to turn needs into scalable AI solutions.
• Track solution quality, adoption, and business impact; report progress.

Skills

Generative AI

LLMs

Agentic systems

RAG pipelines

Tool calling

Prompt engineering

AI evaluation

AWS

Tools

AWS

Job description

Our client is a leading pan-European market infrastructure, operating regulated financial markets and delivering innovative technology solutions across Europe. As part of its growing AI Team, we are looking for a hands-on AI Delivery Engineer to lead an AI delivery squad.

This is primarily an engineering role: 70–80% of your time will be dedicated to designing, building, deploying, and continuously improving production-grade AI solutions. The remaining time will focus on delivery coordination, technical guidance, backlog management, and stakeholder alignment.

• Design, build, test, deploy, and operate AI solutions, including agentic workflows, RAG pipelines, AI evaluation capabilities, APIs, and reusable services.
• Own the full technical lifecycle, from use-case framing and rapid prototyping to production deployment, monitoring, incident resolution, and continuous improvement.
• Write and review production code while applying best practices in testing, CI/CD, security, observability, and documentation.
• Manage the squad backlog and roadmap, ensuring clear priorities, delivery momentum, and proactive risk management.
• Guide and mentor engineers, support technical decisions, and remove delivery blockers.
• Collaborate with business and IT stakeholders to turn complex needs into pragmatic, scalable AI solutions.
• Track solution quality, adoption, user feedback, and business impact; share progress with key stakeholders.
• 3–4+ years of hands‑on experience delivering Generative AI solutions in a professional environment.
• Practical expertise in LLMs, agentic systems, RAG, tool calling, prompt engineering, and/or AI evaluation frameworks.
• Proven experience bringing AI solutions beyond proof of concept into production or production‑like environments.
• Strong software‑engineering foundations, including solution design, code review, automated testing, CI/CD, observability, and secure development.
• Experience deploying and operating cloud workloads; AWS experience is a strong advantage.
• Strong ownership, prioritisation, and problem‑solving skills, with the ability to manage several use cases at different stages.
• Demonstrated technical leadership through mentoring, coordination, or influence; formal people‑management experience is not required.
• Fluent written and spoken English, with excellent communication skills for technical and non‑technical stakeholders.