AI Engineering Lead
Tasks
- Build agent evaluation pipelines
- Build technical roadmap
- Collaborate with product owners data scientists and business stakeholders
- Create offline eval datasets
- Deploy GenAI applications to cloud
- Design multi-agent architectures
- Design train fine tune and deploy large language models
- Develop Python code
- Develop SQL code
- Implement CI/CD processes
- Implement LLM as judge
- Implement retrieval-augmented generation
- Integrate evaluations into CI
- Lead engineering delivery
- Mentor engineering team
- Optimize resource usage
Perks/Benefits
- 5 days a week
- Collaborative work culture
- Flexible working hours
- Supportive work environment
- Work with top talent
Skills/Tech-stack
Agent systems | Amazon Web Services | Azure | CI/CD | Cloud platform | Generative AI | Google Cloud | Google Cloud Platform | LLM Evaluation | LLM-as-judge | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Python | Retrieval-Augmented Generation | SQL | Web Services
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Software Engineer
Regions
Countries
States
Cities
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