remote
AI Enablement Engineer - ID.me
Software Engineer
Develop and integrate AI-driven identity verification solutions, building scalable cloud services and APIs that enhance secure digital authentication across government and healthcare platforms.
About the role
Key Responsibilities
- Design, develop, and deploy AI models that improve identity verification accuracy and speed.
- Build and maintain cloud‑native services on AWS, leveraging serverless and container technologies such as Kubernetes.
- Create robust RESTful APIs to expose AI capabilities to internal and external applications.
- Collaborate with product, security, and compliance teams to ensure solutions meet federal standards and privacy regulations.
- Implement monitoring, logging, and automated testing to guarantee reliability and performance at scale.
Requirements
- 5+ years of software engineering experience with strong Python development skills.
- Hands‑on experience with AWS services (Lambda, S3, SageMaker, IAM) and infrastructure‑as‑code tools.
- Proven expertise in machine learning pipelines, model training, and deployment.
- Solid understanding of identity verification concepts, authentication protocols, and security best practices.
- Experience building, documenting, and supporting REST APIs in a microservices architecture.
Skills
pythonawsmachine learningkubernetes