We are seeking an experienced software engineer with deep expertise in AI systems, agentic workflows, and modern full-stack development. This is a long-term opportunity for someone who enjoys building complex software from the ground up, solving challenging technical problems, and moving quickly.
This role requires someone who can architect systems, write production-quality code, and contribute across multiple areas of the stack. We are looking for a builder—not someone who simply completes assigned tickets.
Technical Requirements
Artificial Intelligence
- Large Language Models (OpenAI, Anthropic, Google, local models)
- AI Agents & Multi-Agent Systems
- Agent orchestration
- Prompt engineering
- Function/tool calling
- Structured outputs
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector databases
- Memory architectures
- Context management
- Model routing
- AI evaluation and optimization
Agentic Workflows
- Autonomous task execution
- Agent-to-agent communication
- Planning and task decomposition
- Human-in-the-loop approval systems
- Long-running workflows
- Tool orchestration
- State management
- Event-driven architectures
Backend Development
- TypeScript
- Node.js
- Python
- REST APIs
- GraphQL
- PostgreSQL
- Redis
- Authentication & Authorization
- OAuth
- WebSockets
- Microservices
- Docker
- Linux
- Git
Frontend
- React
- Next.js
- Modern TypeScript
- Responsive UI development
- State management
- Component architecture
Infrastructure
- Google Cloud Platform, AWS, or Azure
- VPS administration
- Nginx
- CI/CD
- Monitoring
- Logging
- Performance optimization
- Security best practices
Integrations
Experience integrating with third-party platforms and APIs, including:
- REST APIs
- Webhooks
- OAuth providers
- Browser automation
- MCP (Model Context Protocol) is a plus
Ideal Experience
Experience with one or more of the following:
- AI copilots
- Enterprise SaaS
- Workflow automation
- Knowledge management
- Collaborative software
- Real-time systems
- OCR/document processing
- Semantic search
- API platform development
- Multi-tenant applications
Who We're Looking For
We value engineers who:
- Move quickly without sacrificing quality.
- Take ownership rather than waiting for direction.
- Can independently research and solve unfamiliar technical challenges.
- Write clean, maintainable, production-ready code.
- Think architecturally rather than focusing only on individual features.
- Communicate clearly and proactively.
- Are comfortable working in a fast-paced startup environment where priorities evolve as the product matures.
- Enjoy learning and implementing emerging AI technologies.
What Success Looks Like
The right candidate consistently delivers working software, solves problems proactively, and can take a concept from discussion to production implementation with minimal oversight.
We're looking for someone who enjoys building ambitious software and wants to be part of a long-term engineering effort.
To Apply
Please include:
- Resume or LinkedIn profile
- GitHub profile (strongly preferred)
- Portfolio or examples of AI-related work
- Description of the most technically challenging project you've built
- AI frameworks, languages, and tools you've worked with
- Your typical availability and time zone
- Tell us about your experience:
- Describe the most complex AI agent or multi-agent system you've built. Include the architecture, tools, memory strategy, and your specific contributions.
- What is the largest software project you've architected or led? Approximately how many files or lines of code, what technologies, and what was your role?
- When you encounter a technology you've never used before, what is your process for becoming productive with it? Give a recent example.
- Have you integrated OAuth, REST APIs, or MCP servers into production software? If so, describe one implementation.
- How many hours per week are you realistically available, and what other long-term projects or clients are you currently committed to?
We value engineers who rapidly turn ideas into working software. Strong execution, ownership, and consistent delivery are just as important as technical expertise.
