Staff AI Engineer (Data & Intelligence function)

The Ladders
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$150,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Python (Programming Language) Search Technologies Software Engineering Data Processing Sql Optimization Machine Learning Operations

Job description

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., * 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

Requirements

  • 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 & conditions

  • 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.

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