
AI Engineer (LLM Agents & Data Engineering)
Overview
Lead design and delivery of AI solutions that scale across multiple platforms. Own the end-to-end pipeline from concept to production while driving innovation in large language models. This role shapes how our systems learn and adapt.
What You'll Do9
- 1Build scalable LLM agents using Python and Kubernetes
- 2Design data pipelines leveraging Spark and Airflow
- 3Implement robust testing frameworks and CI/CD pipelines
- 4Drive performance improvements through rigorous evaluation metrics
- 5Collaborate cross-functionally to ship features within tight deadlines
- 6Optimize model inference latency by applying caching strategies
- 7Mentor junior engineers on best practices for distributed systems
- 8Maintain observability dashboards for real-time monitoring
- 9Scale infrastructure to support growing user demand
Requirements8
- 15+ years developing AI products with Python
- 2Hands-on experience with LLMs and prompt engineering techniques
- 33-5 seasons delivering production-grade machine learning solutions
- 4Proficiency in AWS services for cloud architecture
- 5Strong grasp of AI evaluation methodologies and benchmarking
- 6Excellent communication skills for stakeholder alignment
- 7Experience with version control and agile development workflows
- 8Ability to manage complex projects under pressure
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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