Team8-Senior Backend Engineer - Core team

About Us

We're an AI-powered platform revolutionizing enterprise application development. Backed by Team8 VC and top-tier angels from the industry, our team of second-time founders brings proven experience in building and scaling successful tech companies. Small but mighty team with zero bureaucracy and maximum impact - where your code directly shapes the future of AI-driven solutions.

About The Role

We're seeking a senior backend engineer who's hungry for impact and takes extreme ownership. You'll architect and build the core platform that powers our AI-driven enterprise application generation system. This is a senior backend role with platform engineering depth - you'll design scalable systems, build the infrastructure that enables AI agents to work, and own the backend from architecture to production.

In This Role You'll

• Architect and build the core platform infrastructure - the foundation that powers our AI-driven enterprise application generation
• Own complete features end-to-end - from initial design and architecture through implementation, deployment, monitoring, and iteration based on production feedback
• Design, build, and own end-to-end Generative AI services - from first prompt to production rollout including multi-agent workflows - combining RAG, function calling, and tool chaining.
• Build and scale Python backend services and AI/ML pipelines with the ability to handle platform-level complexity and scale
• Deploy and maintain solutions on AWS cloud infrastructure - contribute to CI/CD, deployment automation, and DevOps tooling
  
  

• 5+ years building production-grade backend, with experience building platforms from the ground up
• Strong proficiency in Python and modern backend frameworks (FastAPI, Flask, Django) with platform engineering mindset
• Deep cloud experience (AWS preferred) - architecting and deploying production systems at scale
• Experience architecting and building scalable backend platforms - you've designed core systems that others build on top of
• Tangible experience with LLMs - prompting, fine-tuning, or deploying them behind an API
• Track record of extreme ownership - you ship it, you own it; taking systems from concept to production independently
• "Can-do" approach - you've solved hard problems and know how to figure things out
  
  

• React, TypeScript, and JavaScript skills for frontend contribution
• Hands-on with vector databases
• Experience with common ML toolkits - Pandas, Scikit-learn, TensorFlow, PyTorch, Langchain
• Experience implementing policy, safety or red-teaming frameworks around GenAI
• Experience with multi-agent AI systems or agentic workflows
• Open-source contributions or published research in NLP / generative modeling
• Salesforce (SFDC) development experience (Apex, SOQL, Metadata API)
• Builder platform experience - systems that enable others to build and create
• Experience with graph databases or knowledge graph systems
• DevOps and infrastructure automation (Terraform, CI/CD)