Senior AI Product Engineer
- Role
- AI / ML
- Experience
- Senior
The listing doesn't say where it hires from. It may be open worldwide (83% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: company workplace model and company offices.
No BS summary
Senior AI Product Engineer with 8+ years in Full-Stack or Backend SWE and 3+ years shipping AI features. Must master Python/TypeScript/JavaScript (React/Node.js) and have hands-on experience with LangChain, LlamaIndex, or Haystack. Expertise in RESTful APIs, GraphQL, and Vector DBs (Pinecone, Weaviate) required. Familiarity with Docker, K8s, and cloud deployment (AWS/Azure) or local GPU environments is needed. Must be able to work in an Agile/Scrum squad structure.
Core skills
Required skills
Optional skills
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.
What you'll do
- 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.
- 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.
- 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.
- 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.
What they require
- 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.
TechBiz Global provides recruitment service to top clients from its portfolio.