Lead AI Application Engineer

Capgemini; Belgique; Sur place; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Dedicated learning budgets

Mentorship opportunities

Culture of expertise and initiative

Résumé du poste

Capgemini is seeking a Lead Application Engineer in Belgium to design and deliver cutting-edge applications for major clients in the financial sector. You will merge your engineering expertise with AI technologies, working closely with banks and fintechs.

The ideal candidate has strong backend engineering skills, especially in Java, and is experienced in integrating AI solutions. You'll mentor junior engineers, lead projects, and exemplify technical excellence within a culture prioritizing innovation and teamwork.

Qualifications

• Strong experience in backend engineering, preferably with Java.
• Proficient in designing APIs and familiar with cloud-native patterns.
• Hands-on experience in integrating AI technologies.

Responsabilités

• Architect and implement backend solutions with AI integration.
• Build and orchestrate microservices and APIs.
• Mentor and lead team members in engineering best practices.

Connaissances

Backend engineering (Java)

API design (REST/gRPC/GraphQL)

AI integration

DevOps practices

English fluency

Outils

Kubernetes

CI/CD tools

Cloud services (Azure/AWS/GCP)

Description du poste

Do you get a kick out of building systems that are as smart as they are scalable? As a Lead Application Engineer at Blue Harvest, you bridge the gap between robust enterprise engineering and the emerging world of AI. You’ll design and deliver applications for top financial clients, working directly with banks, insurers, and fintechs, where LLMs, RAG pipelines, and agentic workflows are increasingly core features.

You won't just be writing code; you'll be a hands-on leader, translating business goals into technical reality, mentoring the next generation of engineers, and establishing yourself as a local thought leader while growing your market impact.

The Blue Harvest Story

We are a startup within an enterprise, a specialized unit built to move fast and break the "consultancy" mold. We believe that true engineering leadership isn't about managing tickets, it's about owning the solution and challenging the status quo.

We foster a culture where technical mastery meets emotional intelligence. Whether it's hackathons, building the next "secret weapon" for our engineering community or Friday afternoon beers, we are a place for those who want to speak, lead, and leave a legacy.

What You'll Do

• Architect and implement backend (or fullstack) solutions, integrating AI models and services where they add value.
• Build and orchestrate microservices, APIs, and event-driven systems that play nicely with both humans and machines.
• Lead by example: write clean, testable code, set the standard for DevOps, and mentor engineers across the team.
• Collaborate with clients to translate business goals into technical roadmaps, spotting opportunities for AI-native innovation.
• When not working on client projects, contribute to internal initiatives, knowledge sharing, or open source.
• Grow with us: benefit from dedicated learning budgets, mentorship, and a culture that celebrates expertise and initiative.

What you bring

• Core Engineering: Strong experience in backend engineering (Java) and familiarity with front-end frameworks (React, Angular, Vue) for a full‑stack flavor.
• Distributed Systems: Deep knowledge of API design (REST/gRPC/GraphQL) and cloud‑native patterns (Azure/AWS/GCP).
• AI Integration: Hands‑on with integrating LLMs, building RAG pipelines, or orchestrating agentic workflows (LangChain, Semantic Kernel).
• Operational Excellence: Familiarity with Infrastructure as Code, Kubernetes, and CI/CD best practices.
• Leadership: Proven ability to lead teams and drive technical excellence.
• Fluent in English; Strong network and market vision.

Nice‑to‑haves

• Experience as a consultant, working directly with clients to deliver value.
• Experience with financial services, regulatory requirements, or secure data handling.
• Contributions and active participation to open source, tech talks, blogs or developer communities.
• Interest in FinOps, cloud cost optimization, and AI ethics.