Salary
💰 $55 - $65 per hour
Tech Stack
AWSCloudDistributed SystemsGoGoogle Cloud PlatformJavaScriptMicroservicesNext.jsNode.jsPythonReactRustTypeScript
About the role
- Lead the technical roadmap for generative AI integration across all product surfaces
- Drive adoption of agentic AI patterns and multi-agent systems within our platform
- Establish engineering best practices, code review standards, and development workflows
- Make critical technology decisions that will scale with 10x growth
- Build production-grade features using modern frameworks (React, Next.js, Node.js, Python)
- Integrate LLMs, vector databases, and RAG systems into customer-facing applications
- Optimize AI model inference and deployment pipelines for sub-200ms response times
- Implement real-time features using WebSockets, WebRTC, and event-driven architectures
- Lead and mentor a team across frontend, backend, and AI/ML
- Drive technical hiring and build processes to scale engineering
- Foster a culture of rapid experimentation, learning, and shipping quality code
- Collaborate with product, design, and business teams to align technical execution with company vision
Requirements
- 7+ years of full-stack development with recent experience in modern frameworks
- Deep expertise in TypeScript/JavaScript, Python, and at least one systems language (Go/Rust)
- Production experience with generative AI APIs (OpenAI, Anthropic, Google) and fine-tuning
- Hands-on experience building agentic AI systems and multi-agent workflows
- Strong background in distributed systems, microservices, and cloud architecture (AWS/GCP)
- 3+ years of technical leadership experience, preferably at high-growth startups (Series A-C)
- Track record of scaling engineering teams and systems through rapid growth phases
- Experience building 0-to-1 products with millions of users
- Strong product intuition and ability to balance technical debt with feature velocity
- Expertise in vector databases (Pinecone, Weaviate, Chroma) and embedding strategies
- Experience with AI evaluation frameworks and LLM observability tools
- Understanding of prompt engineering, RAG architectures, and model optimization
- Knowledge of transformer architectures and experience with fine-tuning workflows
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
full-stack developmentTypeScriptJavaScriptPythonGoRustgenerative AI APIsagentic AI systemsvector databasesprompt engineering
Soft skills
technical leadershipmentoringcollaborationproduct intuitionrapid experimentationlearningshipping quality codebalancing technical debtfeature velocityscaling teams