Engineering Manager, AI Engineering
Tasks
- Balance experimentation with platform investment and technical debt reduction
- Build and operate production AI services
- Collaborate with product platform and security stakeholders
- Create agent workflows and evaluation systems
- Define AI architecture standards and guardrails
- Design retrieval and vector search systems
- Drive AI product delivery
- Ensure responsible AI and governance compliance
- Evolve engineering culture and best practices
- Implement AI orchestration platforms
- Integrate LLMs and models
- Lead and mentor AI engineering team
- Participate in AI architecture reviews
- Set up AI monitoring and feedback loops
Perks/Benefits
- Autonomy
- Career growth
- Learning and experimentation culture
- Psychological safety
- Remote-first culture
- Supportive people first culture
Skills/Tech-stack
AWS Bedrock | Agentic Workflows | Agile | Async Programming | Azure OpenAI | CI/CD | CrewAI | Databricks | Distributed Systems | Durable async programming | Generative AI | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLflow | Machine Learning | Model Governance | Observability | Orchestration | Prompt engineering | Python | Retrieval-Augmented Generation | Test automation | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
Regions
Countries
States
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