Summary
Bretton AI is the leading AI agent platform for financial services, trusted by companies like Robinhood and Mercury. They are seeking a Forward Deployed Engineer to help deploy and integrate their platform in real-world environments, working closely with customers to ensure successful implementation and uncovering insights for product improvement.
Responsibilities
- Deploy Bretton's AI agents at banks, fintechs, and payments companies, navigating the security and compliance requirements that come with regulated environments
- Travel onsite to work through last-mile connectivity challenges, from wiring up core banking integrations to resolving edge cases that only surface in live production
- Partner with BSA officers, AML analysts, and risk teams to translate their workflows and regulatory requirements into agent behavior that reflects how their business actually works
- Build the connectors, configuration tools, and internal frameworks that turn one-off customer solutions into repeatable platform capabilities
- Guide customers from demo through go-live as a trusted technical advisor, helping them resolve issues quickly and expand the value they get from Bretton
- Work cross-functionally with engineering, product, and GTM to remove blockers and do whatever it takes to make customers successful
- Diagnose and resolve issues in real deployments by reproducing problems and collaborating with the engineering team to fix them
- Translate customer usage into product insights by sharing customer needs with engineering and product teams and identifying opportunities to turn recurring solutions into product features
Skills
- 2+ years of experience as a software engineer or similar
- Strong backend or data engineering background
- Experience with Python, APIs, data pipelines, and cloud infrastructure
- Excellent communication skills
- Ability to explain AI systems to non-technical stakeholders
- Strong debugging and problem-solving mindset
- Comfort working with enterprise customers
- Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus
- Actively building with LLMs and modern AI systems is a must
Qualifications
Must Haves
- 2+ years of experience as a software engineer or similar
- Strong backend or data engineering background
- Experience with Python, APIs, data pipelines, and cloud infrastructure
- Excellent communication skills
- Ability to explain AI systems to non-technical stakeholders
- Strong debugging and problem-solving mindset
- Comfort working with enterprise customers
Nice to Haves
- Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus
- Actively building with LLMs and modern AI systems is a must
Benefits
- Comprehensive healthcare
- 401k matching
- Commuter benefits
- 15 days PTO + holidays
- Unlimited sick days
- Flexible leave options
- Working late? We cover DoorDash and Uber home