Staff AI Engineer (AI)

Location: Hybrid or remote, aligned to Nova business needs

Salary: $230,000–$280,000 yearly

Company

hirify.global develops solutions in biomedical, diagnostics, and related data-sensitive business environments while expanding its enterprise Data & AI capabilities.

What you will do

• Design, build, deploy, and support AI agents, copilots, RAG applications, tool-calling workflows, and AI-enabled automations.
• Define reusable patterns for prompt design, retrieval, embeddings, vector stores, orchestration, integrations, evaluation, guardrails, logging, and monitoring.
• Build shared AI platform components, including agent orchestration services, model gateways, retrieval services, evaluation frameworks, deployment templates, and integration libraries.
• Implement controls for model access, environment separation, telemetry, cost management, audit logging, security, privacy, and responsible AI.
• Partner with architecture, security, data, IT operations, quality, and business stakeholders to move prototypes into documented, production-ready services.
• Provide technical leadership through architecture and code reviews, reusable templates, implementation playbooks, mentoring, and hands-on troubleshooting.

Requirements

• 10+ years of hands-on experience building AI, machine learning, automation, data, or modern software applications in enterprise environments.
• Strong proficiency with Python or similar programming languages, APIs, cloud services, application integration, CI/CD concepts, and version control.
• Deep familiarity with LLMs, RAG, embeddings, vector databases, prompt engineering, agentic workflows, workflow orchestration, and model or application evaluation.
• Experience designing or operating AI platform capabilities such as model gateways, agent platforms, retrieval services, evaluation pipelines, observability stacks, or deployment frameworks.
• Ability to make architecture decisions across build versus buy, prototype versus production, and centralized platform versus use-case-specific implementations.
• Strong documentation, collaboration, communication, mentoring, coding, integration, testing, and troubleshooting skills.

Nice to have

• Experience with Microsoft Azure, Azure OpenAI, Power Platform, Microsoft Fabric, Databricks, AWS AI services, or modern agent frameworks.
• Experience in regulated, GxP, medical device, diagnostics, healthcare, manufacturing, or other data-sensitive environments.
• Experience with MLOps, LLMOps, platform engineering, infrastructure-as-code, containerized services, identity integration, secrets management, and production observability.
• Experience integrating AI applications with Microsoft 365, Salesforce, SAP, ServiceNow, document repositories, data warehouses, APIs, or workflow automation platforms.
• Familiarity with data governance, information security, identity and access management, privacy, retention, and responsible AI practices.

Culture & Benefits

• Staff-level scope with high-impact technical contribution and leadership within the Data & AI function.
• Opportunity to shape enterprise AI architecture, reusable services, engineering standards, and operating patterns.
• Focus on secure, auditable, maintainable, and responsible AI delivery.
• Employment terms, schedule, compensation, benefits, and work location align with Nova's standard HR practices for the final approved position and posting location.