Associate AI Engineer

At NAVEX, we’re transforming the world—making it safer, more ethical, and ensuring every voice is heard. That’s real impact.

Our high-performance culture is driven by our values . We move with speed
, passion and purpose — as one team. We are bold in our ideas, accountable in our actions, and committed to doing the right things right.

The Associate AI Engineer contributes to the development, testing, deployment, and operation of AI-enabled applications and services at NAVEX.

Working under the guidance of experienced engineers, you will develop well-defined components of production AI systems, including data pipelines, application services, model integrations, retrieval workflows, automated evaluations, and monitoring capabilities.

The ideal candidate brings foundational experience in software development, data engineering, statistics, or machine learning and demonstrates the ability and interest to develop deeper expertise in generative AI, retrieval-augmented generation, agentic workflows, and production AI engineering.

You’ll thrive in this hybrid role surrounded by an engaged, collaborative team deeply committed to innovation, speed, and measurable outcomes. Join us and help shape what’s next!

• Meaningful Purpose.
  
  Your work helps organizations operate with integrity and protect their people—at a scale few companies can match.
• High-Performance Environment.
  
  We move with urgency, set ambitious goals, and expect excellence. You’ll be trusted with real ownership and supported to do the best work of your career.
• Candid, Supportive Culture.
  
  We communicate openly, challenge ideas—not people—and value teammates who embrace bold thinking and continuous improvement.
• Growth That Matters.
  
  You can count on authentic feedback, strong accountability, and leaders invested in your success so you can achieve real growth.
• Rewards for Results.
  
  We provide clear, competitive compensation designed to recognize measurable outcomes and real impact.

• Develop and test Python components for AI applications, including generative AI, retrieval and agent workflows
• Build APIs, services and integrations that connect AI capabilities with enterprise applications and data platforms
• Develop data pipelines to extract, clean, transform and validate data for AI and machine-learning applications
• Support predictive modelling, feature engineering and statistical analysis to evaluate data quality and model performance
• Build automated tests and evaluation datasets; analyze errors and measure accuracy, reliability, latency and cost
• Support cloud deployment, monitoring and troubleshooting using established source control, code review and CI/CD practices
• Apply privacy, security and responsible AI safeguards; validate outputs and
  * escalate* quality, bias, compliance or model-risk concerns
• Collaborate across Engineering, Data and Product; document your work, communicate findings and risks, and apply feedback to strengthen your skills

• Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, Engineering, Applied Mathematics, or another related quantitative discipline, or equivalent practical experience
• Foundational professional, internship, academic, or project experience in software engineering, data engineering, machine learning, or statistical computing
• Experience programming in Python
• Experience working with SQL and relational data
• Understanding of data structures, data transformation, and data-quality concepts
• Foundational knowledge of statistical analysis and machine-learning methods
• Experience with common data or machine-learning libraries such as pandas, Num Py, scikit-learn, or comparable technologies
• Familiarity with APIs, automated testing, debugging, source control, and…