Senior AI Engineer
Tasks
- Apply responsible AI and security controls
- Build RAG pipelines
- Collaborate with cross-functional teams
- Connect agents with APIs and microservices
- Deploy and orchestrate AI agents
- Design and build AI systems
- Develop agent-based architectures
- Ensure AI reliability performance and scalability
- Evaluate and adopt emerging AI engineering tools
- Implement LLM solutions
- Implement autonomy guardrails
- Integrate message driven systems
- Manage agent lifecycle and monitoring
Perks/Benefits
- Flexible work options
- Hybrid work model
- Life leave days
- Professional development days
- Remote-first work
- Vacation time increasing with tenure
- Volunteer days
Skills/Tech-stack
AI Security | AWS | Agent Orchestration | Angular | Autogen | Azure | C# | CI/CD | Compliance | CrewAI | Distributed Systems | Docker | Event Driven | Event-driven architecture | GCP | Governance | Infrastructure as Code | JavaScript | Kafka | Langchain | Language Models | Large Language Models | Machine Learning | Message Broker | Microservices | Python | RAG | RabbitMQ | Responsible AI | Retrieval-Augmented Generation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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