Senior AI Product Engineer

Visa Hunt; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

TechBiz Global is seeking a Senior AI Product Engineer to lead AI feature delivery, prompt engineering, and cross-functional collaboration in a hybrid deployment setup. You will drive end-to-end AI initiatives across cloud and on-prem environments, shaping product experiences with intelligent search, summarization, and autonomous workflows.

Ideal candidates have a strong backend/frontend background, fluency in Python/TS/JS, and hands-on experience with LangChain, vector databases, and modern AI

Qualifications

• 8+ years in Full-Stack or Backend software engineering.
• 3+ years building and shipping AI-integrated features.
• Experience working in Agile/Scrum environments within a Squad structure.
• Mastery of Python and/or TypeScript/JavaScript (React/Node.js).
• Hands-on with LangChain, LlamaIndex, or Haystack.
• Expertise with RESTful APIs, GraphQL, and Vector DBs (Pinecone/Weaviate).
• Familiarity with Docker, Kubernetes and deploying to AWS/Azure or local GPU environments.

Responsibilities

• Lead end-to-end development of AI-powered features from prototype to production deployment.
• Integrate LLMs and ML models into web/mobile applications and backend APIs.
• Design AI-first user journeys with autocomplete, summarization, and intelligent search.
• Craft, test, and optimize system prompts to ensure high-quality, safe model outputs.
• Build and manage Agentic workflows (LangChain, CrewAI, AutoGen) to automate multi-step processes.
• Implement robust error-handling and fallback logic for non-deterministic AI outputs.
• Act as AI subject matter expert within your Product Squad; collaborate with PMs on feasibility vs hype.
• Work with UX/UI to address AI design challenges (latency, thinking states, feedback loops).
• Participate in agile ceremonies and rapid iteration.
• Develop applications that switch between Cloud APIs and On-Premises models for hybrid deployment.
• Ensure AI features perform across hosting environments without compromising UX.

Skills

Full-Stack/Backend

AI features delivery

Agile/Scrum

Python

TypeScript/JavaScript (React/Node.js)

RESTful APIs & GraphQL

Vector DBs (Pinecone/Weaviate)

Tools

LangChain

LlamaIndex

Haystack

Docker

Kubernetes

AWS

Azure

Pinecone

Weaviate

Job description

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