Senior Product Engineer, AI & Platforms

MJH Life Sciences is seeking a Senior Product Engineer to join their Enterprise Platforms team. This role involves building web applications, designing APIs, and integrating AI capabilities while collaborating with stakeholders to deliver impactful solutions. The ideal candidate will take ownership of projects from problem definition to delivery, ensuring a focus on outcomes. Responsibilities: Build and ship web applications using Next.js, React, and TypeScript — dashboards, internal tools, and stakeholder-facing products backed by PostgreSQL and deployed to Vercel or AWS; Design and deploy APIs and integration services on AWS (Lambda, API Gateway, DynamoDB, Secrets Manager) that connect enterprise systems including Salesforce, Workfront, Workday, and other platforms; Integrate LLM capabilities into products — prompt engineering, multi-model orchestration, streaming responses, embeddings, and cost-optimized AI pipelines using Anthropic Claude, OpenAI, and Google APIs; Develop developer tools and automation that improve team productivity and enable AI-assisted workflows, including CLI tools, MCP servers, automation scripts, and internal tooling; Implement OAuth 2.0 flows, secure credential management, and compliance-aware data handling across all integration points; Own cloud infrastructure using Infrastructure as Code (AWS CDK, Serverless Framework) — you deploy what you build Qualifications: 3+ years of experience building and shipping web applications or platform services; Proficiency in TypeScript and Python, with experience in React/Next.js for frontend and FastAPI or similar for backend services; Working knowledge of AWS services (Lambda, API Gateway, DynamoDB, Secrets Manager, or equivalent) and experience with Docker and containerized workflows; Experience with PostgreSQL and an ORM (Prisma, SQLAlchemy, or similar); Comfort working with LLM APIs (Anthropic, OpenAI, or similar) — including prompt engineering, evaluating model outputs, and integrating AI capabilities into applications; Familiarity with OAuth 2.0 flows and secure API authentication patterns; Strong written communication — you can write a clear recommendation doc, not just code Required Skills: TypeScript, Python, React, Next.js, FastAPI, AWS Lambda, AWS API Gateway, AWS DynamoDB, AWS Secrets Manager, Docker, PostgreSQL, ORM, Prompt Engineering, LLM APIs, OAuth 2.0, API Authentication, Enterprise Platform APIs, Serverless Architecture, Infrastructure as Code