Vooban

www.vooban.com

2 Jobs

191 Employees

About the Company

At Vooban, we aim to build a sustainable tomorrow. With the help of AI, data, and IoT, we build high-impact applications for businesses that use innovation to lead change in their organization.

Listed Jobs

Company Name: Vooban
Job Title: Agent Developer - specs dev/SW specs
Job Description: **Job Title** Agent Developer – Specs Development **Role Summary** Design, develop, and maintain intelligent AI agents using large language models (LLMs), vector databases, and orchestration frameworks. Lead end‑to‑end lifecycle from specification to production, driving architecture decisions, performance metrics, and continuous improvement in an early‑stage, high‑impact environment. **Expectations** - Deliver scalable, reliable agent pipelines with measurable performance. - Collaborate directly with executive leadership on strategic architecture and product direction. - Operate autonomously in a fast‑moving, ambiguous setting, establishing best practices and internal processes. **Key Responsibilities** - Architect and implement AI agents from scratch, integrating LLMs, vector stores (Pinecone, Weaviate, Chroma), and RAG components. - Apply Spec‑Driven Development to define agent behavior and product specifications. - Build and monitor production‑ready pipelines ensuring high reliability, performance, and usability. - Translate internal user workflows into technical capabilities and agent features. - Define, capture, and analyze metrics (latency, usage, quality scores, feedback) to iterate agent performance. - Own full lifecycle: requirements, design, deployment, observability, and iterative enhancement. - Cultivate and enforce engineering best practices, documentation, and internal tooling. **Required Skills** - 3–7+ years of software engineering, preferably with early‑stage product or infrastructure experience. - Proficiency in Python; experience with agentic frameworks and LLM toolchains (LangChain, LlamaIndex, CrewAI, AutoGen, PydanticAI, etc.). - Hands‑on design or deployment of production AI agents or RAG systems. - Knowledge of vector database technologies, LLM APIs (OpenAI, Anthropic), and orchestration tools. - Strong architectural understanding, prompt engineering, latency/cost trade‑offs, and observability. - Ability to work independently, think strategically, and thrive in ambiguity. - Builder mindset, eagerness to influence product direction and team culture. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - Certifications in AI/ML, cloud platforms, or specific frameworks are a plus.

Company Name: Vooban
Job Title: Product Owner Technique – IA (Agents & Automatisation)
Job Description: Job Title: Technical Product Owner – AI (Agents & Automation) Role Summary: Serve as a hybrid Product Owner/Developer responsible for designing, building, and delivering AI-driven agents, skills, and integrations that automate business processes. Translate business requirements into technical specifications and code, ensuring high performance, security, and user satisfaction. Expectations: 3–7 years of software development or technical product management experience, preferably in early-stage product environments. Demonstrated progression from development to product ownership or vice versa. Bilingual proficiency in French and English. Ability to work in a fast‑moving, ambiguous setting. Key Responsibilities - Architect, develop, and deploy end‑to‑end AI agents, including defining architecture, creating skills, and designing orchestration flows. - Write agent skills and autonomous agent logic; configure integrations with MCP servers, BigQuery, APIs, and other external data sources. - Implement authentication (OAuth), secure data handling, and protect access permissions across integrated systems. - Conduct advanced prompt engineering to optimize LLM performance, reliability, and relevance. - Translate internal stakeholder needs into detailed technical specifications and functional capabilities. - Define, track, and refine agent performance metrics using usage data, KPIs, and user feedback. - Collaborate closely with users for testing, rapid iteration, and capturing improvement opportunities. - Drive best‑practice adoption and process definition within a growing, early‑stage organization. Required Skills - Hands‑on experience writing AI agent skills and developing autonomous agents (e.g., Claude, ChatGPT, Codex, Copilot). - Proficiency in Python; familiarity with agentic frameworks such as Agno, PydanticAI, LangChain, CrewAI, AutoGen. - Technical integration expertise: MCP servers, RESTful APIs, database connections (BigQuery, relational/NoSQL). - Strong prompt engineering capability, balancing latency, cost, and quality for LLM systems. - Security mindset: understanding of authentication, authorization, data protection, and compliance. - Excellent communication skills, able to explain technical concepts to non‑technical stakeholders. - Strategic thinking and pragmatic execution in an ambiguous, evolving context. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent professional experience). ---