Senior Software Engineer, AI Applications

Nayya • New York, NY

6d • $188,000 - $230,000

About The Position

Nayya is looking for a Senior Software Engineer, AI Applications to help design, build, and scale the core systems that power our next generation of AI-native products. In this role, you will be critical to developing Nayya’s agentic platform to serve millions of employees across their health and wealth management. You will act as a technical leader and AI business partner, translating ambiguous needs into durable, production-grade AI-native workflows that provide clarity for employees and hundreds of hours of savings for our partners.

Requirements

• 5+ years of software engineering experience building and operating complex applications in production
• Experienced integrating AI/LLM-powered systems (e.g., OpenAI, Claude) into real products
• Strong proficiency with modern, object-oriented languages and frameworks (Typescript, Ruby etc)
• Comfortable completely owning backend systems and APIs and collaborating on frontend experiences
• Experience with AWS infrastructure or equivalent
• Experience with CI/CD pipelines, infrastructure as code, and monitoring tools
• Opinionated, adaptable, and energized by working in fast-moving, ambiguous environments
• Have a track record of setting technical direction and influencing engineering standards across a team
• Strong communication skills and the ability to communicate with technical and non-technical stakeholders

Responsibilities

• Develop AI-native features by building and integrating LLM-powered systems for extracting, structuring, and reasoning over complex healthcare and benefits data
• Build against AI infrastructure, including retrieval pipelines (RAG), embeddings, prompt orchestration, and internal agent frameworks
• Own end-to-end systems from design, application development, AI integrations and final product delivery.
• Collaborate cross-functionally with Product, Design and other functions to understand customer workflows and translate them into technical solutions
• ​​Implement evaluation pipelines and benchmarking strategies to measure LLM performance, and design guardrails that enforce safety, accuracy, and compliance thresholds across AI-powered features

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees