AI Engineer
Job Summary
Designing, building, and scaling production-grade AI systems, the full-time AI Engineer will focus on document processing, NLP, and LLM-powered workflows in a remote or hybrid work environment.
Key responsibilities
- Build and deploy scalable AI/ML systems using Python and PySpark
- Develop LLM and NLP pipelines for document extraction, structuring, and summarization
- Collaborate with data and platform engineering teams to productionize AI systems and improve their performance and reliability
Required qualifications
- 4-10+ years of experience in AI Engineering, ML Engineering, MLOps, or Applied AI
- Strong background in building and deploying production AI/ML systems
- Proficiency in Python and experience with distributed data tools like PySpark or Databricks
- Familiarity with orchestration frameworks such as Airflow
- Experience working with large-scale structured and unstructured datasets
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