Applied AI Engineer
Tasks
- Architect internal API layers and shared services
- Automate infrastructure provisioning and configuration
- Build AI powered internal tooling
- Containerize and orchestrate AI workloads
- Develop and iterate AI proof of concepts
- Establish AI development patterns and best practices
- Integrate AI into internal systems and workflows
- Own and extend AI platforms and tooling
Perks/Benefits
- Additional PTO
- Medical/Dental/Vision insurance
- Nutritionist
- PTO
- Volunteer time off
- Workout lunches
- Workplace wellness program
Skills/Tech-stack
AWS | Ansible | Artifactory | Autogen | CI/CD | CPU Resource Management | CrewAI | Docker | DockerFiles | EC2 | ECS | EKS | GPU resource management | GitHub | IAM | Inference Optimization | Kubernetes | LLM | Lambda | Langchain | Langgraph | MLOps | Model Serving | Prompt engineering | Python | RAG | RDS | REST APIs | Resource Management | S3 | Semantic Retrieval | Semantic Search | Terraform | TypeScript | VPC | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
Roles
Regions
Countries
States
Cities
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