Senior AI Product Engineer

Skills

What you'll do

• 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.
• Prompt Engineering & Agentic Workflows
• Craft, test, and optimize complex system prompts to ensure high-quality, safe, and consistent model outputs.

About the role

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. Requirements • 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. Originally posted on Himalayas