Design and develop AI-powered systems using both traditional ML and generative AI techniques
Build intelligent applications and agents that can perform tasks autonomously or interactively
Create modular, well-documented APIs and service components to enable model integration and consumption
Develop and manage data pipelines, including data collection, transformation, and quality assurance
Implement observability and evaluation mechanisms to monitor AI system behavior
Collaborate with software engineers, data scientists, and solution architects
Support rapid experimentation as well as robust deployment pipelines
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks
Support project management tasks

Requirements

3+ years of hands-on experience in AI/ML development or intelligent application engineering
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Experience in Python
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)

Benefits

Medical coverage
Dental coverage
Vision coverage
Wellness programs
401(k) plan with generous employer match
Employee stock purchase plan
Paid Time Off policy
Paid parental leave
Adoption assistance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI developmentML developmentgenerative AI techniquesAPI developmentdata pipeline managementdata transformationquality assuranceobservability mechanismsevaluation frameworksrapid experimentation

Soft Skills

collaborationproject management

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science