Contract AI/ML Engineer for Enterprise Systems

Hourly Contract - Stevens; United States; On-site; USD 124,000 - 207,000; Part time

Job summary

Stevens is seeking an experienced AI/ML Engineer for an hourly contract to join our delivery teams on enterprise client engagements in the United States. This role focuses on building production-grade AI systems and applications powered by LLMs and foundation models.

You will own technical work from initial design through production delivery, collaborating with architects, engineers, project managers, and client teams in demanding enterprise environments.

Responsibilities

• Design and build production-grade AI and machine learning systems
• Build applications and services using LLMs and foundation models
• Develop RAG, semantic search, embeddings, retrieval, and knowledge systems
• Design agentic and tool-using AI workflows
• Build backend services, APIs, and integrations supporting AI applications
• Design evaluation frameworks and systematically measure AI system quality
• Work with structured and unstructured enterprise data
• Integrate AI capabilities into existing enterprise applications and systems
• Evaluate models, architectures, and tooling based on business and technical requirements
• Optimize AI systems for reliability, latency, scalability, and cost
• Implement appropriate testing, observability, and production safeguards
• Participate in architecture discussions, technical planning, and code reviews
• Collaborate with Stevens architects, engineers, technical project managers, and client teams
• Own technical work from initial design through production delivery

Job description

Stevens is seeking an experienced AI/ML Engineer for an hourly contract to join our delivery teams on enterprise client engagements in the United States. This role focuses on building production-grade AI systems and applications powered by LLMs and foundation models.

You will own technical work from initial design through production delivery, collaborating with architects, engineers, project managers, and client teams in demanding enterprise environments.