Senior Product Engineer, AI & Platforms

At MJH Life Sciences our success is measured by your success! If you set your standards high and want to contribute to a winning team, we’ll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork. Nothing means more to us than hiring people with these attributes. If you believe you’re right for the job, this is the place to prove it! We are seeking a Senior Product Engineer to join our Enterprise Platforms team. You'll work across a wide range of projects — web applications, APIs, integrations, cloud infrastructure, and AI-powered workflows — collaborating with stakeholders to understand real problems and build solutions that make a meaningful difference. This role goes beyond writing code. You'll be involved from problem definition through delivery, with genuine ownership over what you build and how you build it. We're an AI-first team, and you'll use tools like Claude Code and Cursor as a natural part of your daily workflow. If you care about outcomes, not just output, this is the role for you. What You'll Do 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 Gather requirements directly from stakeholders, push back when the ask doesn't match the real problem, and write up recommendations when you identify a better approach Follow up after launch — confirm features are being used, measure whether they achieved their goal, and iterate based on real feedback Contribute to team growth by helping peers troubleshoot, sharing technical knowledge, and participating in AI Accelerator discussions What Sets You Apart You own deliverables end-to-end — from understanding the problem through architecture, implementation, deployment, validation, and iteration. No one needs to check on you 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 Experience with enterprise platform APIs (Salesforce, Workfront, Workday, or similar) preferred Familiarity with serverless architectures and Infrastructure as Code (AWS CDK, Serverless Framework, Terraform) preferred Experience using AI-assisted development tools (Claude Code, Cursor, Windsurf, or similar) as a core part of your daily workflow preferred Background in healthcare, life sciences, or media industries a plus Tools & Environment AI Development: Claude Code, Cursor/Windsurf/Zed | Languages: TypeScript, Python | Frontend: Next.js 14+, React 18+, Tailwind CSS, shadcn/ui | Backend: FastAPI, Next.js API Routes, Serverless Framework | Databases: PostgreSQL (Neon, Supabase), DynamoDB, SQLite | Cloud: AWS (Lambda, API Gateway, Secrets Manager, Step Functions, CDK) | Deployment: Vercel, AWS, Docker | Enterprise APIs: Salesforce, Workfront, Workday, Bizzabo, DocuSign | AI/LLM: Anthropic Claude, OpenAI, Google Gemini Compensation Range: $100,000 – $125,000 per year, depending on qualifications. Eligible for annual company bonus program or commission incentive based on role. The compensation offered to the candidate selected for this position will depend on several factors, including the candidate's educational background, skills, and professional experience. Benefits Overview: We're proud to offer a comprehensive benefits package, including: Health insurance through Cigna (medical & dental) Vision coverage through VSP Pharmacy benefits through OptumRx FSA, HSA, Dependent Care FSA, and Limited Purpose FSA options 401(k) and Roth 401(k) with company match Pet discount program with PetAssure Norton LifeLock identity theft protection Employee Assistance Program (EAP) through NYLGBS Fertility benefits through Progyny Commuter benefits Company-paid Short-Term and Long-Term Disability Voluntary Term Life & AD&D Insurance, plus Universal Life Insurance options Supplemental Aflac coverage: Accident, Critical Illness, and Hospital Indemnity Discounts and rewards through BenefitHub #LI-Remote MJH Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. All employees of MJH Life Sciences are employed “At Will.” This means that either the employee or the Company is free to end the employment relationship at any time, for any reason, with or without cause and with or without notice.