Senior AI Product Engineer

Description

Summary: Seeking a Senior AI Product Engineer to lead end-to-end AI feature development, optimize prompts, manage agentic workflows, and collaborate within a product squad. Highlights: 1. Lead end-to-end development and integration of AI-powered features. 2. Craft, test, and optimize complex system prompts and agentic workflows. 3. Act as AI subject matter expert within a Product Squad, influencing design. At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated **Senior AI Product Engineer** to join one of our **clients' teams**. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. **Key Responsibilities** * **AI Feature Delivery \& Integration** * Lead the end\-to\-end development of AI\-powered features, from initial prototyping to production deployment. * Integrate LLMs and ML models into existing web/mobile applications and backend APIs. * Design "AI\-first" user journeys, ensuring features like autocomplete, summarization, and intelligent search are intuitive and high\-performing. **2\. Prompt Engineering \& Agentic Workflows** * Craft, test, and optimize complex **system prompts** to ensure high\-quality, safe, and consistent model outputs. * Build and manage **Agentic workflows** (using frameworks like LangChain, CrewAI, or AutoGen) to automate multi\-step business processes. * Implement robust error\-handling and "fallback" logic for non\-deterministic AI responses to maintain a seamless UX. **3\. Squad Collaboration (The "Product" Side)** * Act as the AI subject matter expert within your **Product Squad**, helping PMs understand what is technically feasible vs. what is "AI hype." * Work closely with UX/UI designers to handle AI\-specific design challenges (e.g., streaming text latency, "thinking" states, and user feedback loops). * Participate in agile ceremonies, contributing to grooming, planning, and rapid iteration. **4\. Hybrid Implementation** * Develop applications that can switch seamlessly between **Cloud APIs** (for speed/innovation) and **On\-Premises models** (for data privacy and cost\-efficiency). * Ensure that AI features are performant across different hosting environments without sacrificing user experience. * **8\+ years** in Full\-Stack or Backend Software Engineering. * **3\+ years** of experience specifically building and shipping AI\-integrated features. * Proven ability to work in an **Agile/Scrum** environment within a "Squad" structure. * Mastery of **Python** and/or **TypeScript/JavaScript** (React/Node.js). * Hands\-on experience with **LangChain, LlamaIndex, or Haystack**. * Expertise in RESTful APIs, GraphQL, and working with Vector DBs (Pinecone, Weaviate). * Familiarity with Docker, Kubernetes, and deploying to AWS/Azure or local GPU environments.