AI Development Engineer
Tasks
- Apply responsible AI safety privacy fairness transparency
- Build production AI systems
- Design system architecture and validation plans
- Develop agentic applications
- Ensure system reliability and production readiness
- Implement observability evaluation testing and monitoring
- Integrate LLMs VLMs and tools
- Maintain code quality, security, and performance
- Optimize prompts and model selection
- Orchestrate AI workflows with retrieval
- Translate business requirements into technical specs
Perks/Benefits
Skills/Tech-stack
API Integration | Benchmarking | Context engineering | Fairness | Foundation Models | Language Models | Large Language Models | Machine Learning | Model Evaluation | Monitoring | Multimodal AI | Observability | Privacy | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Security | System design | Testing | Vision Language Models | Vision-language | Workflow Orchestration
Education
N/A
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