Senior AI/ML Developer
Tasks
- Build and maintain Model Context Protocol servers
- Collaborate with stakeholders to deliver automation solutions
- Create technical documentation and reusable patterns
- Deliver production solutions and support AI enablement growth
- Develop agentic workflows with orchestration guardrails and observability
- Implement authentication rate limiting and data governance
- Integrate AI systems with enterprise tools
Perks/Benefits
- Career Development Programs
- Collaborative culture
- Flexible time off plans
- Flexible work schedules
- Health and wellness benefits
Skills/Tech-stack
API Development | AWS | Agentic Workflows | Asynchronous programming | Authentication | CI/CD | Containerization | CrewAI | Data Governance | Google Workspace | HubSpot | Langgraph | Language Models | Large Language Models | Model Context Protocol | Python | Rate Limiting | Salesforce | Snowflake | Testing
Education
N/A
Roles
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