Lead Product Developer – AI

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.

• Health Insurance Accident Insurance.
• The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.