Senior AI Product Engineer

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

1. 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