The company is seeking a talented and pragmatic AI Engineer (Applied) to join our dynamic team. In this role, you will focus on applying artificial intelligence techniques to solve real-world problems and deliver impactful solutions that drive business value. You will collaborate closely with product teams, data scientists, and software engineers to deploy AI models into production environments and continuously improve their performance.
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Responsibilities
- Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance Lead.
- Operational AI agents: building production agents on top of the agentic platform — going beyond the sample agents the external partner delivers into real operational workflows.
- AI service implementation: FastAPI service around LLM APIs with versioned prompt templates.
- Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts.
Requirements
- 5+ years of experience applying AI and machine learning techniques in a production environment.
- Strong proficiency in programming languages such as Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with deploying and maintaining AI models at scale.
- Good understanding of data preprocessing, feature engineering, and model evaluation.
- Background in statistics, mathematics, or computer science.
- Ability to collaborate effectively with cross-functional teams and translate business needs into applied AI solutions.
- Excellent problem-solving skills and a practical, solution-oriented mindset.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, or AI.
Benefits
- Paid Time Off
- Performance Bonus
- Training & Development
