About the company
Our client is a financial services company.
The role
Raydar is recruiting for this role on behalf of our client. Build and ship AI agent systems from early prototype into production, with a focus on reliability, evaluation and safe behaviour. Work across backend APIs and cloud infrastructure, and help set the foundations for a growing AI function. This is a hands-on role for an engineer who can own work independently in a small team.
What you'll do
- Design and deliver agent-based product features end to end, from early concept through production release.
- Own the supporting layer around each agent, including evaluation, guardrails, tool integrations, monitoring, audit trails and error handling.
- Build backend services and APIs in Python, and help shape the user-facing interface.
- Develop AI systems that work across different large language model providers, managing prompts, tool use and context while balancing performance, cost and maintainability.
- Lead AI projects from first idea to production with a high degree of independence.
- Set up the patterns, systems and processes that a future AI team will build on.
- Track and adopt new models, tools and techniques that improve the product and speed up development.
Requirements
What we're looking for
- 4 or more years of software engineering experience.
- Between one and three years spent developing autonomous AI tools and operating them in live environments.
- Experience taking an AI agent or LLM-powered feature from zero to one into production, beyond prototypes.
- Strong traditional backend foundation, with production experience building APIs and services in Python, Django or FastAPI on AWS.
- Hands-on depth with frontier language models, including prompting, tool use and context management.
- Comfort owning ambiguous, high-stakes work from start to finish in a small, fast-moving team.
Bonus points
- Applied AI background at a fast-growing technology company.
- Clear instincts for the practical limits and potential of current AI systems.
Benefits
Compensation and benefits
- Base salary: USD 210,000 to 250,000 per year
- Equity
- Health, dental and vision coverage
- Flexible time off
Location and work model
- New York, NY, United States
- On-site, five days a week
- Full-time
Skills Required
- 4 or more years of software engineering experience
- 1 to 3 years developing autonomous AI tools and operating them in live environments
- Experience taking an AI agent or LLM-powered feature from inception into production beyond prototypes
- Production experience building backend APIs and services in Python, Django, or FastAPI on AWS
- Hands-on experience with large language models, including prompting, tool use, and context management
- Ability to independently own ambiguous, high-stakes work from start to finish in a small, fast-moving team
- Applied AI background at a fast-growing technology company
- Understanding of the practical limits and potential of current AI systems
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
