Further AI
Forward Deployed Engineer
San Francisco$140k–$225kfulltimemidAdded 1 month ago
About this role
FurtherAI is seeking a Forward Deployed Engineer to build enterprise AI agents for the insurance industry. You'll work in-person in San Francisco with a world-class team backed by top investors, directly engaging customers and implementing cutting-edge AI solutions at scale.
What you'll do
- Develop enterprise-grade AI agents from concept to production
- Collaborate with the CTO and engineering team on AI/ML product implementation
- Engage directly with customers to understand workflows and translate them into technical solutions
- Build and optimize backend systems supporting agentic capabilities
- Deploy cutting-edge AI features in production environments
- Contribute to product direction and strategy as an early team member
What they're looking for
- Backend systems development (Python)
- AI/machine learning implementation
- Consumer-facing product engineering
- Customer discovery and communication
- Scalable systems design
- Written and verbal communication
- Product ownership mindset
- Problem-solving under fast-paced conditions
Benefits
- Comprehensive health, dental, and vision coverage
- Competitive salary with meaningful stock options
- Unlimited PTO
- On-site meals (lunch and dinner)
- 401(k) with company contribution
- Pre-tax commuter benefits
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Further AI
Further AI builds enterprise AI agents designed specifically for the insurance industry. The company is hiring Forward Deployed Engineers and Solutions Engineers to implement and optimize AI-powered solutions directly with insurance customers.
View all jobs at Further AILikely interview questions
- Walk us through a time you built a consumer-facing feature from scratch. How did you gather customer requirements, and what challenges did you face in translating them into a technical solution?
- Tell us about your experience with Python backend systems. What's the most complex or scalable system you've built, and how did you approach performance optimization?