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.
