Senior Software Engineer, AI Applications

🕒 March 18

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Nayya

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 $55M Series C on 2022-03

At Nayya, we believe there’s a better way to choose benefits. A more transparent, less confusing way for employees to control their health and financial potential. Powered by billions of data points and machine learning, our benefits experience platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, qualifying life events, and in the moments that matter all year round. This is one of the most stressful and challenging situations consumers face – and we see that as an opportunity to build an innovative response that can help millions of Americans possess the control and understanding they deserve. Join the consumers and their employers that are now living with more peace and confidence at Nayya.com.

📋 Description

• 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

🎯 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.