Job Description

Applied AI Engineer

• Title of Role: Applied AI Engineer
• Location: New York, New York, on-site
• Company Stage of Funding: Venture Round — Insurance
• Office Type: On-site
• Salary: [To be confirmed with final candidates]

We're representing a dynamic early-stage company on a mission to revolutionize health benefits, making them accessible and affordable for small and medium-sized businesses. This company is leveraging advanced technology to simplify a historically complex and underserved space, empowering brokers and consultants to deliver innovative insurance solutions. If you're passionate about solving real-world problems with significant impact and desire a high degree of ownership, this is the ideal environment for you.

What You Will Do

• Design, build, and deploy LLM-powered features that are utilized by real customers, moving beyond prototypes and research projects.
• Architect and implement reliable, scalable AI agents and multi-step LLM workflows that enhance operational efficiency.
• Own the end-to-end development of features from initial design through deployment and iterative improvements.
• Build and maintain prompt orchestration pipelines, utilizing context engineering and retrieval-augmented generation (RAG) techniques.
• Develop and enforce practices for LLM reliability and safety, including guardrails and evaluation frameworks.
• Make informed trade-offs between performance, latency, cost, and output quality in production AI systems.
• Communicate complex technical decisions and architectural trade-offs effectively to non-technical stakeholders.

Ideal Candidate Background

• 3–7+ years of experience as a software engineer, applied AI engineer, or product engineer with a strong focus on backend development.
• Proven track record of shipping LLM-powered products to production; experience with demos or research-only work is insufficient.
• Strong backend engineering skills in Python and solid command of relational databases, particularly Postgres and SQL.
• Hands-on experience in designing and building AI agents or complex multi-step LLM pipelines, with practical knowledge of prompt orchestration and context engineering.
• Familiarity with LLM evaluation frameworks, guardrails, and methodologies for ensuring production safety.

Preferred

• Experience in healthcare, insurance, or finance domains, particularly in applying AI to complex workflows.
• A strong product mindset with a history of owning features from concept through launch and iteration.
• Comfort in high-autonomy environments and a proactive approach to problem-solving.

Compensation and Benefits

Enjoy access to affordable, comprehensive health benefits, reflecting the company's commitment to its mission. You will have a high degree of ownership and autonomy, directly influencing product and technical direction.