Senior AI/ML Developer
Tasks
- Add observability for agentic systems
- Apply data governance requirements
- Build and maintain MCP servers
- Build secure AI and enterprise tool integrations
- Collaborate with sales marketing operations and customer success stakeholders
- Collect requirements and deliver automation solutions
- Create technical documentation and reusable patterns
- Develop agentic workflows
- Handle authentication and rate limiting
- Implement guardrails
- Orchestrate agentic workflows
- Recruit and mentor team members
- Securely connect LLMs to enterprise systems
Perks/Benefits
- Career Development Programs
- Collaborative culture
- Flexible time off plans
- Flexible work schedules
- Health and wellness benefits
Skills/Tech-stack
API Integration | AWS | Async Programming | Authentication | CI/CD | Containerization | CrewAI | Data Governance | Google APIs | Google Workspace | Google Workspace API | HubSpot API | LLM | Langgraph | MCP | Model Context Protocol | Python | Rate Limiting | Salesforce API | Snowflake | Testing
Education
Roles
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