Jobs at Osedea

Build and deliver production-grade AI software for enterprise clients, including ML pipelines, APIs, services, data flows, and cloud integrations. Research and implement models, define quality requirements, maintain testing and software standards, advise clients on technical decisions, and mentor colleagues. The role requires strong software engineering fundamentals, applied AI/ML experience, autonomy, and collaboration across teams.

Leads software development teams in designing, building, testing, and delivering enterprise solutions. Translates business requirements into technical specifications, develops critical software, conducts reviews and audits, mentors colleagues, reinforces development standards, researches technologies, and advises clients on technical direction. Requires extensive software development experience, team leadership, full-stack expertise, modern programming languages, testing, CI/CD, and client-side frameworks.

Develop and deliver enterprise software solutions, mentor teammates, uphold development standards, research technologies, and advise clients on technical decisions. The role requires full-stack web development, testing, CI/CD, modern client-side frameworks, and software architecture expertise. Candidates should have at least five years of software development experience, recent experience with Python, JavaScript/TypeScript, or Java, relevant education or equivalent experience, and intermediate conversational French.

Designs, builds, deploys, and maintains production AI solutions for enterprise clients. Responsibilities include identifying AI opportunities, developing software, defining non-functional requirements, converting experiments into monitored production components, researching new models and tools, mentoring colleagues, and advising clients on technical direction and solution trade-offs.

Lead client workshops, define KPIs and analytics requirements, and design business intelligence solutions using Power BI and Microsoft Fabric. Develop dashboards, reports, data models, and analytics applications while advising clients on data governance, AI-powered analytics, and business opportunities. Present solutions, validate AI-generated outputs, improve delivery practices, and collaborate with stakeholders to drive adoption and measurable business value.

Designs and delivers scalable software, cloud and on-premise infrastructure, backend services, APIs, CI/CD pipelines, automation, and cloud-native solutions. Improves architecture, observability, reliability, security, testing, and maintainability while advising clients on technical direction. The role also involves mentoring teammates, leading technical decisions, managing deliverables, and researching new technologies.

Design, develop, deploy, and improve production-grade agentic AI systems. Responsibilities include architecting LLM and tool integrations, orchestration workflows, context and memory management, evaluation, observability, security, and cloud infrastructure. The role partners with clients and multidisciplinary teams to deliver practical AI solutions, evaluates emerging frameworks, makes architectural decisions, and mentors colleagues.

Develop and deploy AI agents and LLM-powered applications for client projects. Build agentic workflows integrating language models, APIs, tools, business data, structured outputs, context management, and RAG. Improve agent reliability through evaluation, testing, debugging, and observability. Collaborate with developers, AI specialists, designers, and clients to deliver production software while exploring emerging AI frameworks and technologies.

Design and guide production-ready agentic engineering systems for enterprise clients. Responsibilities include defining agentic architectures, modernizing software engineering practices, building software factories, evaluating emerging AI technologies, advising stakeholders, reviewing designs, prototyping solutions, coaching engineers, and ensuring reliability, security, scalability, observability, and cost efficiency in production AI systems.

As a Senior Product Designer, you will lead the design process for various client projects, from research to high-fidelity solutions, collaborating closely with developers and engaging in stakeholder management.