Full Stack Senior Developer (AI‑Native)

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

• Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.
• Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.
• Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

We are seeking a Senior Full Stack Developer with strong backend orientation and hands-on experience in modern frontend frameworks. This role requires an AI-native engineer capable of leveraging AI tools across the entire SDLC to accelerate delivery, improve quality, and contribute to a high-performing engineering culture.

You will work in a collaborative Agile environment, designing and implementing scalable, secure, and high-quality enterprise applications.

Key Responsibilities

• Design, develop, and maintain enterprise-grade applications and microservices.
• Collaborate with business stakeholders and technical teams to analyze requirements and define solutions.
• Develop backend components using Java, Spring Boot, Hibernate/JPA.
• Develop frontend components using Angular, HTML, CSS, JavaScript/TypeScript.
• Create and execute test cases to ensure software quality and reliability.
• Participate in CI/CD processes, deployments, and production support.
• Diagnose and resolve incidents, performance issues, and application defects.
• Contribute to architecture discussions and engineering best practices.
• Promote clean code, maintainability, observability, and security.
• Mentor junior developers and support engineering culture.

AI‑Native Engineering Responsibilities

• Use AI-powered tools (GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, Devin, Sourcegraph Cody, Continue.dev) throughout the SDLC.
• Apply AI-driven practices for:

  • Code generation and refactoring

  • Automated documentation

  • Test generation and validation

  • Debugging and root cause analysis

  • Code reviews and quality improvements

  • SDLC automation and productivity optimization

• Ensure secure and appropriate use of LLMs in enterprise environments.
• Contribute to AI engineering governance and best practices.
• Stay current with emerging AI engineering trends and accelerators.

Mandatory Skills

• 5+ years as a Full Stack Developer / Software Engineer (backend-oriented preferred).
• Strong experience with Java, Spring Boot, Hibernate/JPA.
• Experience with Angular and modern frontend technologies.
• Strong SQL skills (Oracle, PostgreSQL).
• Experience designing and consuming REST APIs.
• Experience with Git/GitHub and collaborative workflows.
• Experience with microservices architecture.
• Experience with Jenkins and CI/CD pipelines.
• Experience working in Agile (SCRUM).
• Experience with Docker and OpenShift.
• Experience with AWS (nice to have).
• Knowledge of monitoring, logging, and observability tools.
• C1 proficiency in Spanish & English

AI & Modern Engineering Skills

• Hands-on experience using AI-powered development tools.
• Understanding of prompt engineering and AI-assisted development.
• Experience integrating AI into engineering workflows and pipelines.

Soft Skills

• Strong analytical, problem-solving, and communication skills.
• Passion for innovation, automation, and continuous improvement.

Nice to Have

• Experience with event-driven architectures and messaging systems.
• Experience with Kubernetes.
• Experience with automated testing frameworks.
• Exposure to AI/ML or GenAI platforms.
• Knowledge of secure coding practices in AI-assisted environments.

What do we offer you?

• Remote position 
• CET Timezone working hours
• Freelance, full-time contract.
• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development & tech, we want to meet you !