silver - Pasito - AI/ML Engineer
Requirements
• A full stack engineer with 3+ years of experience building complex web applications • Comfortable owning backend systems and APIs, while collaborating closely on frontend experiences • Experienced integrating AI / LLM-powered systems into real products • Curious, adaptable, and energized by working in fast-moving, ambiguous environments • A collaborative partner to product managers, designers, and other engineers • TECHNICAL EXPERIENCE WE’RE EXCITED ABOUT • 3+ years of experience in software engineering • Strong backend engineering experience with Node.js and Python. Hands-on experience integrating and operating AI systems using frameworks such as LangGraph, LangChain, LlamaIndex, and model SDKs (OpenAI, Anthropic, Google AI Studio), including prompt/version management and tool calling. Bonus: AWS, MySQL at scale, and JavaScript frameworks. • Experienced building, deploying, and operating multi-step or multi-agent AI systems in production, with ownership of correctness, latency, cost, and failure handling • Experienced designing and operating RAG or persistent memory systems using vector databases (e.g., Pinecone, Turbopuffer), including indexing strategies, retrieval evaluation, and performance/cost tradeoffs • Experienced building production-grade evaluation and monitoring pipelines for AI systems (e.g., LangSmith, Langfuse, MLflow), including offline evals, live metrics, and regression detection • Experience building document ingestion pipelines, structured extraction, chunking strategies, and handling noisy or inconsistent source documents • Experience in insurance, healthcare, or financial services is a plus, but not required.
Responsibilities
• Develop AI-native workflows • Architect and build scalable multi-agent systems with clear evaluation metrics, monitoring, fallback strategies, and cost controls for extracting and reasoning over complex benefits data. • Own backend and data-heavy systems • Design and own backend services, APIs, and data pipelines that power AI workflows, with a focus on correctness, scalability, observability, and long-term maintainability. • Collaborate cross-functionally • Work closely with Product, Design, Sales, and Client teams to understand customer workflows and translate them into durable technical solutions. • Continuously improve systems • Refine existing architecture, reduce operational complexity, and help define what “great” looks like as the platform scales.
Benefits
• Meaningful ownership: Build foundational systems used by carriers, brokers, employers, and employees at scale • Real impact: Your work directly improves how people understand and use their benefits • Growth: Join early and grow with the company as we scale our product, team, and distribution • Competitive compensation: Salary, meaningful equity, and full benefits: medical, dental, vision, 401(k) with match, life insurance, and flexible PTO • Remote‑first: Work from anywhere in the U.S. with a highly collaborative team • THE INTERVIEW PROCESS • Silver screening Interview • Silver Technical Interview • Client Screening Interview • Client Technical interview • Client Behavioral Interview
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