Lead Software Platform Engineer (AI/ML)

Location: Remote in the United States; company locations include Cambridge, Massachusetts and San Mateo, California.

Salary: $200,000–$270,000 USD per year

Company

hirify.global develops scientific data and AI cloud infrastructure and laboratory data management solutions for pharmaceutical and scientific organizations.

What you will do

• Own the architecture and API surface of a multi-tenant AI/ML platform used by customers and internal engineering teams.
• Manage model and prompt lifecycles across Databricks MLflow and AWS Bedrock, including versioning, promotion, rollback, and multi-model serving.
• Design real-time and batch inference infrastructure with routing, batching, caching, concurrency controls, accelerator capacity planning, and graceful degradation.
• Build production LLM and agent capabilities using RAG, tool and function calling, MCP-based tooling, and agent runtimes.
• Establish security, tenant isolation, evaluation, observability, reproducibility, lineage, and auditability for AI systems in regulated pharmaceutical environments.
• Set technical direction, lead design reviews, support production readiness and incident response, and mentor engineers across distributed systems and AI engineering.

Requirements

• 10+ years of software and infrastructure engineering experience building and scaling distributed cloud-native systems in production.
• Technical leadership or architecture experience with accountability for system design, scalability, performance, and cost optimization.
• Production experience building multi-tenant AI/ML infrastructure for external users, including model deployment, lifecycle management, and serving.
• Hands-on experience taking LLM systems to production with RAG, retrieval and embedding design, prompt and model versioning, and tool or function calling.
• Expert-level TypeScript and Python skills, plus experience with REST, OpenAPI, AWS, Docker, CloudFormation or AWS CDK, and CI/CD automation.
• Experience with AI evaluation, observability, SLI/SLO/SLA practices, distributed tracing, sensitive-data protection, tenant authorization boundaries, and LLM security risks.

Nice to have

• Experience with advanced LLM orchestration, agentic systems, MCP, multimodal inputs, model optimization, or per-tenant AI cost attribution.
• Background delivering AI or ML systems in regulated environments such as GxP, 21 CFR Part 11, or SOC 2.
• Experience in scientific, life sciences, or laboratory data domains.

Culture & Benefits

• 100% employer-paid benefits for eligible employees and immediate family members.
• Unlimited paid time off.
• 401(k) and company-paid life insurance and LTD/STD coverage.
• Flexible remote working arrangements.
• Continuous improvement culture with career growth and coaching opportunities.
• Visa sponsorship is not currently provided.