Senior AI Engineer
Tasks
- Apply autonomy guardrails for agents
- Apply responsible AI governance and compliance
- Collaborate with product and research teams
- Deploy and manage multi agent systems
- Design and develop AI systems
- Evaluate and adopt emerging AI engineering tools
- Implement agent lifecycle management
- Integrate agents with APIs and microservices
- Operationalize AI systems for reliability security performance
Perks/Benefits
- Flexible work options
- Life leave days
- Professional development days
- Remote-first work model
- Vacation time increased with tenure
- Volunteer days
Skills/Tech-stack
AWS | Agentic AI | Angular | Autogen | Azure | C# | CI/CD | Cloud platform | CrewAI | Distributed Systems | Docker | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | Kafka | Langchain | Langgraph | Language Models | Large Language Models | Message Broker | Microservices | Observability | Python | RabbitMQ | Retrieval-Augmented Generation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Master of Engineering | Master of Science
Roles
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