Sr AI Engineer
Tasks
- Architect RAG pipelines
- Build API based workflows
- Collaborate with stakeholders for solution delivery
- Conduct code reviews and documentation
- Design AI agent integrations with business systems
- Evaluate AI output for accuracy security trust
- Implement agentic workflows
- Lead troubleshooting for AI enabled production issues
- Perform root cause analysis
- Prototype AI powered internal tools
- Refactor and enhance existing codebases
- Test AI systems
Perks/Benefits
- Company year end break
- Flexible time off
- Learning and development stipend
- Medical/Dental/Vision insurance
- Mental wellbeing resources
- Paid Holidays
- Paid parental leave
- Retirement programs
- Volunteer opportunities with donation matching
- Wellness days
Skills/Tech-stack
APIs | Cause analysis | Code review | JavaScript | Jira | Jupyter | LLM APIs | Langchain | Llamaindex | MCP | Netsuite | Prompt engineering | Python | RAG | REST APIs | Root Cause Analysis | Root cause | Salesforce | Slack | TypeScript | Vector Databases | Webhooks
Education
Roles
AI Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Senior AI Engineer
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