About the job AI Product Engineer
AI Product Engineer (On-site)Location: Palo Alto, California
Salary: $150,000 - $200,000 USD
About the RoleWe are seeking an AI Product Engineer to help design and build AI-powered products that solve complex real-world problems in financial operations and enterprise workflows.
In this role, you will own AI-driven features end-to-end - from concept and architecture through implementation, evaluation, deployment, and production reliability. You will work closely with leadership and cross-functional teams to build scalable AI systems with a strong focus on user experience, performance, security, and compliance.
This is an excellent opportunity for someone who enjoys combining engineering, product thinking, and AI innovation in a fast-paced startup environment.
Key Responsibilities- Design, build, and launch AI-powered product features end-to-end
- Develop and maintain LLM-based applications and AI workflows
- Build multi-agent systems, orchestration pipelines, and automation tools
- Implement scalable AI/ML pipelines and production-grade backend systems
- Collaborate closely with founders, engineers, and product teams
- Evaluate AI model performance and optimize reliability, latency, and accuracy
- Improve user experience and usability of AI-driven applications
- Ensure production reliability, observability, and monitoring of AI systems
- Contribute to secure and compliant AI infrastructure and workflows
- Participate in technical architecture and product decision-making
Requirements- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Applied Mathematics, Statistics, Economics, or a related field
- Strong proficiency in Python
- Experience building and shipping AI/ML systems into production environments
- Hands-on experience with LLM systems and AI application development
- Experience building data pipelines and AI workflows
- Strong understanding of user experience and product-focused engineering
- Excellent communication and collaboration skills
- Strong ownership mindset and ability to work independently
- Ability to thrive in a fast-moving startup environment
Nice to Have- Experience with voice AI systems
- Knowledge of AI governance, security, or regulatory compliance
- Experience with vector databases, RAG pipelines, or agentic AI systems
- Familiarity with cloud infrastructure such as AWS, GCP, or Azure
- Startup or early-stage product experience
What You'll Work On- AI-native workflow automation
- Multi-agent AI systems
- LLM orchestration pipelines
- AI-powered operational tooling
- Secure and compliant AI infrastructure
- Product experiences powered by generative AI
