Senior AI Developer – SLS AI Lab (F/M)

Summary of the role

We are seeking a Senior AI Developer to join SLS AI’s Lab team. Reporting to the Head of AI Lab, you will design and build production-grade Generative AI applications for Equans entities worldwide. You will own end-to-end delivery of AI features—from data ingestion and model integration to frontend delivery, observability, and continuous improvement—within a cloud-first, DevOps-oriented environment across Azure, Google Cloud (Vertex AI / Gemini), and other leading AI platforms (OpenAI, Anthropic, etc.). This position is English/French hybrid (B1 level).

Key Objectives & KPIs

• Design, develop, and maintain secure, reliable Generative AI solutions (e.g. RAG-based applications, chatbots, copilots, and AI assistants) that meet business needs.
• Ensure performance, scalability, and cost-efficiency of AI workloads across cloud platforms (Azure, Google Cloud, and others as needed).
• Collaborate closely with product owners, UX designers, platform teams, and security to translate requirements into high-quality, shippable AI features.
• Promote best practices in AI application development, including code quality, testing, observability, and responsible AI governance.
• Contribute to the creation and reuse of common AI components, patterns, and documentation to accelerate delivery across SLS AI

KEY RESPONSIBILITIES

• AI Solutions design and development
  • Design, implement, and operate AI-powered features and services using Generative AI platforms such as Azure AI Foundry / Azure OpenAI, Google Cloud Vertex AI / Gemini, OpenAI, and Anthropic Claude.
  • Build end-to-end solutions that combine data ingestion and orchestration, model inference, retrieval (RAG, vector search, embeddings), and conversational user experiences.
  • Develop and maintain robust backend services and APIs using .NET/C# and Python, integrating AI capabilities with existing enterprise systems and data platforms.
• Collaboration and ways of working
  • Collaborate with other developers, engineers, and platform teams in a distributed, international environment using agile and DevOps practices.
  • Mentor junior developers on AI application patterns, code quality, security, and responsible AI usage; promote knowledge sharing and reusable components within the team.
• Stakeholder Engagement
  • Work closely with product owners, business stakeholders, and UX designers to clarify requirements and translate them into technical designs and user-centric AI experiences.
  • Communicate technical options, dependencies, and delivery timelines clearly to both technical and non-technical stakeholders.
  • Contribute to backlog refinement, estimation, and sprint planning to ensure predictable delivery of AI capabilities.
• Process & Quality Improvement
  • Contribute to the design and maintenance of CI/CD pipelines (e.g., GitHub Actions) for automated testing, security checks, and deployment of AI applications and services.
  • Implement observability and governance for AI solutions, including logging, metrics, tracing, prompt evaluation, and guardrails for responsible AI.
  • Continuously improve codebases, architectures, and development practices to enhance reliability, maintainability, and performance of AI solutions.

PROFILE

Academic background & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 4+ years of professional experience in software development, with at least 1 year building and operating AI-powered applications in production.
• Proven track record delivering production-grade Generative AI solutions (such as chatbots, copilots, RAG-based knowledge assistants, or AI workflow automation) for internal or external users.
• Hands-on experience working in agile, DevOps-oriented teams, applying modern software engineering practices (code reviews, automated testing, CI/CD, trunk-based development).
• Strong understanding of cloud platforms and AI services across multiple providers (e.g. Azure AI Foundry / Azure OpenAI, Google Cloud Vertex AI / Gemini, AWS, OpenAI, Anthropic), as well as modern web and backend development.

Behavioral Capabilities​

• Excellent leadership and people management skills, with the ability to inspire and motivate cross-cultural teams
• Strong communication and stakeholder management abilities
• Analytical and problem-solving mindset, with a focus on continuous improvement
• High adaptability and resilience in a fast-paced, evolving environment
• Service-oriented approach with a passion for delivering value to internal partners

Skills

• Strong software engineering and system design skills, including experience with object-oriented and functional programming concepts.
• Deep technical proficiency in Generative AI platforms, cloud services, and full-stack development (e.g. .NET/C#, Python, TypeScript, React/Next.js).
• Experience designing and operating cloud-native, observable applications, including logging, metrics, tracing, and performance tuning.
• Ability to reason about data quality, retrieval strategies (RAG, vector stores), and prompt design to systematically improve AI outputs.
• Strong collaboration skills and the ability to work effectively with distributed, cross-functional teams (product, UX, security, platform, operations).
• Good knowledge of Machine Learning and Data Science concepts.
• First experience with the Palantir (AIP Platform)
• Fluency in English as the primary working language in an international environment with French as an additional language (B1).

Why Join Us?

• Global Reach: Build AI solutions used by Equans entities across continents and business units.
• Technical Challenge: Work on complex, high-scale Generative AI products and platforms across multiple cloud providers (Azure, Google Cloud, and others).
• Supportive Culture: Join the SLS AI Lab team, which values innovation, transparency, experimentation, and continuous learning.