Senior AI Engineer
Tasks
- Build and operate AI-powered features
- Build backend services APIs and AI integrations
- Collaborate with product data platform architecture and security teams
- Create reusable AI patterns and components
- Define evaluation approaches
- Design AI features
- Develop, test, and refine prompts
- Implement logging and metrics
- Integrate and architect LLM applications
- Integrate and architect agentic systems
- Make security privacy and cost focused engineering decisions
- Monitor production quality and reliability
- Optimize model interactions and orchestration
- Perform code reviews and mentoring
- Provide technical guidance and design review support
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | AWS Bedrock | Agent workflows | Agentic Systems | Amazon Bedrock | Anthropic API | Artificial Intelligence | Backend Engineering | CI/CD | Containerization | Data Privacy | Docker | Evaluation | Experimentation | GraphQL | IAM | Infrastructure as Code | Kafka | Kubernetes | Language Models | Large Language Models | Logging | Metrics | Model Optimization | MongoDB | Node.js | Observability | OpenAI API | PostgreSQL | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Structured outputs | Terraform | Tool-Calling | TypeScript | Vector Databases | “as-code”
Education
N/A
Roles
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