For our client, we are seeking a Staff AI Engineer (Data & Intelligence function) to join the team of a leader in the Enterprise Technology space.
This role will focus on building production AI capabilities that help translate customer and system data into actionable intelligence. You will work across data, engineering, and product-oriented partners to design retrieval, inference, and workflow solutions that are reliable, cost-aware, and ready for real-world use.
The position is highly hands-on, with an emphasis on applying advanced AI/ML techniques, strong data foundations, and rigorous evaluation practices. It is also expected to help establish best practices that other teams can adopt as the organization expands its AI efforts.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $180,000 annually
Responsibilities
- Write and deploy production AI code on a daily basis
- Lead development of rapid customer context retrieval across multiple data processing strategies
- Build the inference layer to process signals and provide actionable insights
- Transform detected conditions into actionable workflows for user engagement
- Select appropriate models for different workloads, balancing performance and cost
- Oversee evaluation metrics for AI systems to ensure reliability before action
- Establish best practices for other teams to follow in their AI work
Qualifications
- 8+ years of software engineering experience, including 3+ years in production AI/ML systems
- Strong programming fundamentals with proficiency in Python and other languages for AI and data work
- Fluency in managing data at scale with advanced SQL and transformation tools like dbt
- Experience in production-level retrieval and context engineering, including vector search and graph retrieval
- Skill in building agentic systems with workflows informed by human interaction, using tools like Temporal and LangGraph
- Expertise in evaluation and observability for AI systems, including tracing and dataset-driven testing
- Cloud deployment skills, particularly with AWS and containerized services, managing inference costs
Benefits
- Competitive healthcare coverage
- Wellness programs to promote healthy living
- Flexible time off policy to support work-life balance
- Parental leave for new parents
- Employee recognition programs to celebrate achievements
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
US
