AI Engineer - AI Innovation (Multiple Roles)
Tasks
- Build production ready APIs and backend services
- Build testing and evaluation for quality performance safety and cost
- Collaborate with product data risk security and platform teams
- Create reusable patterns templates and documentation
- Design and build AI-powered applications
- Implement guardrails for security privacy compliance and responsible AI
- Implement prompt management pipelines
- Implement tool calling and grounding
- Integrate foundation models into production workflows
- Integrate system integrations for AI use cases
- Monitor AI workloads and feedback loops
- Optimize latency reliability and cost
- Perform root cause analysis and issue diagnosis
Perks/Benefits
- Additional leave options
- Employee discounts
- Flexible work arrangements
- Learning and development opportunities
- Volunteering initiatives
Skills/Tech-stack
API Development | Backend Development | CI/CD | Cloud Platforms | Embeddings | Language Models | Large Language Models | Machine Learning | Observability | Prompt engineering | Retrieval-Augmented Generation | Testing | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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