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Senior AI Engineer
Skills
Computer ScienceDatabasesEasily AdaptableEducational AssessmentHealthcareRecruitingTransformers
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's or Master's degree in Computer Science Engineering Data Science or related field
- 5+ years of AI/ML engineering experience including deployment MLOps monitoring and production pipelines
- Proficiency with Python and AI/ML libraries such as PyTorch TensorFlow and Hugging Face Transformers
- 8 years of experience with cloud platforms and containerization including AWS GCP Azure Docker and Kubernetes
- Familiarity with vector databases embeddings and large-scale NLP applications
- Strong problem-solving skills and ability to work in a cross-functional team
- Excellent communication skills for technical and non-technical stakeholders
Nice to have
- Healthcare AI experience
- Educational assessment experience
- Agentic LLM experience
Day to day
- Design and maintain production-grade AI and NLP pipelines that support reliable deployment monitoring and updates
- Collaborate with research IT and product teams to operationalize prototypes into scalable secure and reproducible AI solutions
- Build optimize and support infrastructure for embeddings large language models and AI assets while improving performance cost-efficiency and compliance
Hiring process
- Onsite interviews and onboarding in Philadelphia may be required
- Advance notice will be provided if applicable