Lead Product Developer AI

Job description

If you have the mindset of an engineer and the heart of an artist, we are looking for you. As OrangePeople expands its AI cloud capabilities, we are building advanced AI-driven applications and platforms to power our next phase of innovation. We are seeking a highly technical Lead Product Developer AI to architect, design, build, and scale these strategic initiatives.

The ideal candidate combines deep software engineering expertise with strong product design thinking. This individual is hands-on, capable of developing intelligent systems while also owning end-to-end product design, including user experience, workflows, and system architecture. You will play a critical role in building next-generation AI applications leveraging RAG (Retrieval-Augmented Generation) and generative AI technologies.

Key Responsibilities:

• Lead end-to-end product development, including product design, system architecture, and hands-on engineering of AI-driven platforms.
• Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, embedding pipelines, vector databases, and LLM orchestration.
• Build and deploy scalable AI/ML solutions, including generative AI and LLM-based applications.
• Translate business requirements into technical product designs, including system workflows, user journeys, and architecture diagrams.
• Collaborate with product, design, engineering, and data science teams to deliver high-impact solutions.
• Develop APIs, microservices, and cloud-native applications supporting AI workloads.
• Own UI/UX design considerations, ensuring intuitive, efficient, and user-centric product experiences.
• Drive rapid prototyping, experimentation, and iteration of AI features.
• Ensure scalability, performance, security, and cost optimization across cloud environments.
• Implement MLOps practices, including model deployment, monitoring, evaluation, and continuous improvement.
• Establish feedback loops for AI systems to improve accuracy, relevance, and user satisfaction.
• Identify technical risks and lead mitigation strategies.

Required Qualifications:

• 8+ years of software engineering experience, with 3+ years focused on AI/ML or data-driven applications.
• Strong hands-on experience designing and building RAG-based systems and LLM-powered applications.
• Experience with vector databases, embeddings, and semantic search frameworks.
• Proficiency in Python and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with APIs, microservices, and distributed system design.
• Strong experience in product design thinking, including translating requirements into scalable technical and UX solutions.
• Familiarity with data pipelines, vector indexing, and retrieval optimization techniques.

Preferred Qualifications:

• Experience building advanced RAG pipelines with tools such as LangChain, LlamaIndex, or similar frameworks.
• Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques.
• Knowledge of AI governance, responsible AI, and data privacy frameworks.
• Experience in SaaS or enterprise platform development.
• Proven track record of building 0-to-1 AI products.
• Exposure to frontend technologies with a strong UI/UX sensibility.