AI Engineer, Forward Deployed
USD 180K-240K (estimate) Senior-level Full Time
Tasks
- Build production chat interfaces for analytical experiences
- Collaborate with SRE and security on monitoring and logging
- Create tool schemas and safe execution boundaries
- Deploy and support AI applications on AWS
- Design and build LLM powered application features
- Embed with operational teams to identify AI opportunities
- Implement agent loops with tool calling and retry handling
- Implement error handling for model and tool failures
- Integrate visualizations charts and tables into chat experiences
- Manage LLM context windows and token budgeting
- Monitor and evaluate model performance
- Optimize prompts for reliability and cost
- Orchestrate backend function execution for LLM requests
- Provide production troubleshooting for AI models
- Translate operational needs into AI requirements
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agentic Workflows | Code Reviews | Containers | Context window | Docker | Error Handling | Git | Identity Management | JSON | LLM APIs | Language Models | Large Language Models | Logging | Monitoring | Observability | Prompt engineering | Prompt injection | Python | SQL | Security | Streaming | Token Management | Tool-Calling
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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