Engineering & AI Systems Lead
Tasks
- Architect entire SaaS ecosystem
- Break initiatives into parallel workstreams
- Build internal tooling for agent workflows
- Challenge architectural decisions and drive resolutions
- Coordinate dependencies across repositories
- Coordinate engineering team execution
- Critically validate human and AI generated code
- Debug cross service multi system problems
- Define acceptance criteria and verification strategies
- Design maintainable, scalable systems
- Ensure reliable scalable maintainable completion
- Evaluate new models agents frameworks and techniques
- Identify technical debt and systemic risks
- Improve engineering tooling automation and developer workflows
- Maintain security reliability scalability and maintainability
- Make architectural decisions with CEO
- Orchestrate AI agents for implementation research testing review debugging validation
- Own technical execution across multiple repositories and services
- Reduce manual engineering effort via automation
- Turn ambiguous objectives into engineering work
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic Software | Agentic software development | Asynchronous Architecture | Authentication | Authorization | Automated testing | CI/CD | Cloud infrastructure | Containers | Data Modeling | Distributed Systems | Event Driven | Event-driven architecture | LLM integration | Microservices | Multi-Agent | Multi-Agent Systems | Observability | Parallel processing | Performance Engineering | Relational databases | Security Engineering | Software development
Education
N/A
Roles
AI | AI Systems Engineer | Engineer | Engineering | Engineering Lead | Lead | Systems Engineer
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