AI Software Engineer Service
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
Satellit is seeking an experienced engineer to join a software team that builds AI-first applications. The role requires solid software engineering fundamentals combined with hands-on experience creating systems that leverage large language models, retrieval-augmented generation, conversational assistants and automated agent workflows. The position involves designing, building, validating and refining AI-driven solutions so they operate securely, consistently, and are maintainable and valuable in a production business setting.
Who are you?
Skills & Competences:
- AI application evaluation methods including test datasets, quality metrics, regression testing, and user feedback
- Technical communication and trade-off analysis
- Collaboration and stakeholder management
- Service design with testing, logging, CI/CD, and deployment practices
- Security-conscious mindset when working with internal or sensitive data
Preferred Qualifications:
- At least five years of professional experience working as a full‑stack software developer.
What will you do?
- Architect and code AI-driven applications that integrate large language models, retrieval pipelines, agent-style workflows, backend services, APIs and external integrations.
- Build and operate orchestration layers that call LLM services, putting in place repeatable testing, structured logging, CI/CD, monitoring and end-to-end observability.
- Establish safe, practical patterns for using external tools, human review/approval steps and governed agent behaviors, and advise on model and framework choices with attention to quality, cost, latency, maintainability and security.
- Diagnose and resolve typical AI system failures such as incorrect model outputs, weak retrieval results, excessive latency, cost overruns and inconsistent responses.
- Work closely with software engineers and product or business stakeholders to embed robust AI engineering practices and help shape technical strategy.
Technologies (mandatory)
MS Teams advanced llm-based ai generation RAG Pipeline Microsoft 365 Agents SDK SAFe Agile Logging Langgraph Langchain AI Semantic Kernel Security Microsoft Foundry Azure Cloud Platform Python C# product owner .NET / C# Microsoft Agent Framework Innovation Collaboration Azure Cloud Vector Database Or Enterprise Search Platform