Senior AI Engineer (AI)

Location: Cambridge, Massachusetts, United States; hybrid 70/30 work model with 70% in-office collaboration. Only U.S. persons—citizens, permanent residents, asylees, or refugees—are eligible due to U.S. export control requirements.

Salary: $145,900–$234,200 per year, with potential discretionary bonus, incentive compensation, or equity subject to eligibility and performance.

Company

hirify.global develops mRNA technology and medicine-delivery infrastructure through a science and biotechnology-focused organization.

What you will do

• Design and build full-stack AI applications, including user interfaces, backend APIs, reusable services, and integrations with enterprise data and systems.
• Own delivery from prototype through production, including automated testing, CI/CD, release management, observability, incident response, and application support.
• Use AI coding agents for implementation, refactoring, debugging, and test generation; provide repository context, review generated changes, and validate behavior before release.
• Develop secure and reliable AI applications for Supply Chain and enterprise Digital, including validated releases for applicable GxP use cases.
• Partner with product, architecture, cybersecurity, quality, and validation teams to meet business, technical, and regulatory requirements.
• Provide technical leadership and mentoring as a senior individual contributor.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related technical field; equivalent deep technical experience may be considered.
• 7+ years of software, data, or AI engineering experience, including 4+ years delivering production AI/ML, GenAI, analytics, automation, or data-intensive systems.
• Strong proficiency in Python and SQL, with sound software architecture, API design, and data modeling fundamentals.
• Hands-on frontend engineering with Angular and TypeScript, including reusable components, state management, forms, API integration, accessibility, and responsive design.
• Hands-on backend engineering with Node.js/NestJS and TypeScript, plus Python/FastAPI for AI services, including authentication, authorization, service boundaries, testing, and production debugging.
• Experience shipping GenAI applications with RAG, agents and tool use, embeddings or vector search, model and prompt evaluation, guardrails, and human-in-the-loop controls.
• Practical experience using AI coding agents to deliver maintainable software, including repository context, change review, meaningful tests, and output validation.
• Cloud engineering experience on AWS, Azure, or GCP, including CI/CD, infrastructure-as-code, IAM, secrets management, monitoring, and production support.
• Experience building secure, auditable systems with an understanding of data integrity, validation documentation, and change control in regulated environments.

Nice to have

• Experience in life sciences, supply chain, manufacturing, quality, or another regulated operational domain, including GxP delivery.
• Experience with Databricks, MLflow, lakehouse governance, model serving, or data product development.
• Applied experience in forecasting, optimization, simulation, anomaly detection, or decision intelligence.
• Familiarity with enterprise system integration; SAP experience is a plus.

Culture & Benefits

• 70/30 work model emphasizing in-office collaboration, innovation, teamwork, and direct mentorship.
• Competitive healthcare and voluntary benefit programs.
• Fitness, mindfulness, and mental health resources, plus family planning benefits including fertility, adoption, and surrogacy support.
• Paid time off including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown.
• Savings and investment programs, plus location-specific perks and extras.
• Smoke-free, alcohol-free, and drug-free work environment.