Staff AI Engineer

Apply now: Staff AI Engineer, location is remote The start date is ASAP for this contract to hire position.

Job Title: Staff AI Engineer
Location-Type: Hybrid
Start Date Is: ASAP
Duration: Contract to Hire

Compensation Range: $85-105/hr ONLY on W2!

Job Description:
The client is seeking a Staff AI Engineer to design and deliver scalable, enterprise-grade AI solutions that support connected data initiatives and intelligent business capabilities across cloud-native platforms.

Day-to-Day Responsibilities:

• Design and maintain production-ready AI services using AWS-native technologies
• Build and optimize retrieval augmented generation (RAG) pipelines and vector search solutions
• Develop LLM-powered APIs, workflows, and enterprise integrations
• Create document intelligence and unstructured data processing solutions
• Implement CI/CD pipelines, infrastructure as code, and observability practices
• Monitor and improve AI system performance, scalability, security, and cost efficiency
• Collaborate with architecture, data, platform, and product teams on AI initiatives
• Mentor engineering teams on AI engineering best practices and cloud-native development
• Conduct code reviews and provide technical design guidance
• Support governance, compliance, and auditability requirements for AI systems

Requirements:

• Must-Haves:
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 10 years of software engineering experience
  • 3–5 years focused on AI/ML or intelligent systems
  • 2–3 years of hands-on AWS AI/ML engineering experience
  • Experience building enterprise-scale LLM and RAG-based systems
  • Strong experience with AWS services including Bedrock, SageMaker, Lambda, OpenSearch, S3, and DynamoDB
  • Experience with Claude or similar large language model technologies
  • Hands-on experience with AI agents and agentic workflows
  • Expertise in cloud-native, serverless, and event-driven architectures
  • Strong background in API design, microservices, and software architecture
  • Experience with infrastructure as code, CI/CD, and observability practices
  • Knowledge of governance, metadata management, lineage, and access controls
  • Experience with document intelligence and unstructured data processing
• Nice-to-Haves:
  • Experience with enterprise AI governance and model risk management
  • Exposure to DataOps and MLOps frameworks
  • Experience creating reusable AI frameworks and accelerators
  • Insurance or financial services industry experience
  • Strong mentoring and technical leadership background

Benefits:

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility