Specialist Software Engineering - AI Engineer
Tasks
- Build and deploy AI applications in hybrid cloud
- Collaborate with stakeholders on AI requirements
- Design develop and deploy intelligent agents
- Develop and maintain actuarial applications
- Develop secure scalable APIs for AI capabilities
- Ensure security compliance and responsible AI usage
- Implement RAG pipelines with vector databases and knowledge graphs
- Implement prompt engineering best practices
- Lead AI and agent initiatives
- Monitor evaluate and optimize LLM performance cost latency and reliability
- Scope estimate and design AI and actuarial applications
- Validate AI outputs and improve agent behavior through tuning
Perks/Benefits
- 401k match
- Adoption Assistance
- Back Up Care Program
- Career training and development
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee discounts
- Employee recognition programs
- Employee resource groups
- Employee stock purchase plan
- Hybrid work schedule
- Inclusion and diversity programs
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Pension plan
- Referral Bonus Programs
- Tuition reimbursement
- Vision insurance
- Volunteer Hours PTO
- Wellness program
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS CDK | AWS CloudFormation | AWS Glue | Agent systems | Amazon API | Amazon API Gateway | Amazon Athena | Amazon ECS | Amazon EKS | Amazon Lambda | Amazon S3 | Artificial Intelligence | CI/CD | Docker | EC2 | Git | Graph Database | Infrastructure as Code | LLM | Langchain | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Orchestration | Prompt engineering | PySpark | RAG | Retrieval-Augmented Generation | Serverless computing | Terraform | Vector Database | “as-code”
Roles
AI | AI Engineer | Engineer | Software Engineer | Specialist | Specialist Software Engineer
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