About the Role
Oxigent Technologies is looking for a Senior AI Engineer / AI Developer to join a strategic technical innovation project. In this role, you will be responsible for implementing the architecture and building the orchestration infrastructure (local and cloud) that will integrate RAG systems, automations, and agents into development and testing workflows, working closely with a multidisciplinary engineering team.
Responsibilities
•Design and build the architecture of the agentic platform, enabling the ingestion, processing, and reasoning over structured and unstructured data sources (technical documentation, regulations, and operational procedures).
•Implement multi-agent orchestration for complex decision-support scenarios and the acceleration of engineering workflows.
•Structure advanced RAG systems and integrate them with Knowledge Graphs, ensuring accurate, auditable responses with absolute technical traceability.
•Define and deploy custom automations and skills, reducing engineering cycle times and improving the team's technical productivity.
•Lead the definition of the comprehensive test plan, ensuring robust observability, monitoring, validation, and reliability mechanisms for mission-critical systems.
•Translate the strategy into operational practice, working closely with architects, developers, QA teams, and technical leads to maximize real impact on daily processes.
Requirements
•University degree: Bachelor's or Master's in Computer Engineering, Telecommunications, Mathematics, or a related technical discipline.
•Senior professional experience (+6 years) in software development and implementation of advanced technical solutions.
•Strong command of Python and experience in Cloud environments (preferably Azure).
•Extensive experience with LLMs (OpenAI, Hugging Face, Azure OpenAI) and practical command of agentic frameworks (LangChain, AutoGen, CrewAI).
•Experience with real-time data streaming technologies (Kafka, Event Hubs) and robust API integrations.
•In-depth knowledge of RAG architectures, embeddings, vector databases, and knowledge graphs.
•Strong command of the end-to-end software lifecycle: requirements gathering, architecture design, implementation, code reviews, testing, CI/CD, release management, and production maintenance.
•Experience with Agile methodologies (Agile/Scrum) and applying modern software engineering best practices.
Conditions / Benefits
•Freelance contract (until April 2027, with the possibility of extension) at a competitive rate, depending on fit and seniority.
•Hybrid format (3 days in the office / 2 days remote) in a modern and dynamic environment.
•Autonomy and technical freedom to define the setup (Cloud environments, OpenAI, Copilot, local architectures), propose tools, and structure innovative solutions.
•Annual training allowance to develop in the professional areas that interest you most.
•Private health insurance.
•Flexible compensation applicable to health insurance, meals, transport, childcare, and training.
•Pension plan with additional employer contributions.
•Wellbeing app with access to gyms, sports activities, and specialized professionals at reduced prices.
•Events, after-work gatherings, and volunteering activities to unwind, connect, and get to know the team.
•And many other benefits!
