We’re looking for a Senior Full Stack Developer with a passion for AI and or ML to help us build the backbone of intelligent, autonomous cloud operations. In this hybrid role, you’ll assist in the development of scalable software solutions while playing a pivotal role in integrating AI-powered features into our platform.
If you thrive on building clean, cloud-native systems and are curious about shaping the future of agentic AI and cloud optimization — this is your chance to define it from the ground up.
Specific Duties and Responsibilities
Full Stack Software Development
- Design, build, and maintain scalable, maintainable full stack applications using ReactJS, Node.js (TypeScript), and modern DevOps practices
- Architect and deploy edge-first APIs using Cloudflare Workers for high-performance, distributed computing
- Collaborate with founders and the early engineering team to shape product features, technical decisions, and engineering culture
- Develop and maintain robust CI/CD pipelines with GitHub Actions and Docker
- Build and iterate on MVP features quickly based on user feedback
- Model and manage data with graph databases like Neo4j
AI/ML & Autonomous System Development
- Design and develop GenAI-powered features and autonomous agents for cloud infrastructure analysis and optimization
- Build and integrate RAG (Retrieval-Augmented Generation) and LLM-based systems using Azure AI Foundry and OpenAI APIs
- Implement and experiment with agentic frameworks like LangGraph, CrewAI, or custom architectures
- Develop Model Context Protocol (MCP) servers for seamless integration between the platform and AI services
- Build data ingestion and transformation pipelines to support real-time AI workloads
- Contribute to AI system design that recommends or even implements operational improvements autonomously
Skills
Core Engineering Skills
- Advanced proficiency with ReactJS, Node.js (TypeScript), and cloud-native architectures
- Experience with Cloudflare Workers, Docker, and CI/CD pipelines
- Familiarity with Neo4j or similar graph databases
- Ability to apply SOLID principles, software design patterns, and clean code practices
- Comfort with building and deploying in multi-cloud environments (Azure and AWS)
AI/ML Engineering Skills
- Working knowledge of GenAI/NLP concepts, RAG architecture, and LLM APIs
- Experience using AI tools/frameworks (LangGraph, CrewAI, etc.) or implementing autonomous agents
- Strong programming skills in Python, TypeScript, or JavaScript
- Understanding of ETL pipelines, data engineering, and MCP-style integration
Experience
- 8+ years in full stack software development, with proven experience building scalable, production-ready applications
- 1-2 years of hands-on exposure to AI/ML engineering or integrating LLM-based solutions into products
- Demonstrated experience working in early-stage startups or fast-paced product teams
- Experience mentoring peers or junior developers
Education Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline
- Equivalent practical experience in high-performance environments accepted instead
- AI/ML certifications or published work in open-source or research projects are a plus
Personal Attributes
- Curious & Experimental: Enjoys testing new tools and rapidly evolving technologies
- Security-Minded: Always considers security by design in all coding and architecture decisions
- Builder Mentality: Comfortable with ambiguity and thrives when turning zero-to-one ideas into working software
- Collaborative: Values team input and works transparently with both technical and non-technical stakeholders
- Autonomous: Self-directed and comfortable owning entire components of the stack
What You’ll Gain
- Share options / equity — be a real stakeholder in our success
- Help build the technical culture of a cutting-edge AI startup
- Work on greenfield development with a bold product vision and a modern tech stack
- Collaborate with founders and domain experts in cloud infrastructure and AI
- Build systems that blend real-time cloud optimization with autonomous AI intelligence
- Enjoy flexible work hours, high trust, with either hybrid or full remote work environment
Ready to Shape the Future of Cloud Operations?
If you're excited about building autonomous AI systems that can revolutionize cloud optimization, we want to hear from you. Send us your resume along with examples of AI projects you've built, research you've conducted, or problems you've solved using innovative AI approaches.