Team8 AI Stealth Mode Startup-AI Engineer
Posted Jun 14 · 0 applicants
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The role in plain words
In this role, you will build core platform infrastructure and design end-to-end Generative AI services, including multi-agent workflows. You will also develop backend services, scale AI/ML pipelines, and deploy solutions on AWS cloud infrastructure.
- 5+ years of backend engineering experience
- TypeScript
- Python
- Cloud-native development and data processing at scale
- AWS preferred / Deep cloud experience
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced backend engineers with strong TypeScript and Python skills who have hands-on experience with LLMs and deep AWS knowledge. It is less ideal for junior developers or those lacking production cloud deployment experience.
Full job description
Original listing · kept for referenceAbout 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. We’re searching for a builder-leader who combines strong engineering skills with a passion for AI and a drive to improve processes by AI. In This Role You'll ●Build the core platform infrastructure - the foundation that powers our AI-driven enterprise application generation ● 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 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
Requirements: • 5+ years of backend engineering experience with experience in TypeScript, Python, cloud-native development, and data processing at scale. • Deep cloud experience (AWS preferred) - architecting and deploying production systems at scale • Tangible experience with LLMs - prompting, fine-tuning, or deploying them behind an API (show us what you've shipped) • Data-oriented personality analytical mind, and problem-solving aptitude • 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
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 5+ years of backend engineering experience, TypeScript, Python, Cloud-native development and data processing at scale, AWS preferred / Deep cloud experience