Founding Full Stack Engineer at Burnt

Note: This job is by referral only. Candidates must contact Ramone Smith at ramonesmith15@gmail.com for a referral for this position.

Who they're looking for:

TL;DR: Burnt is looking for a Founding Full Stack Engineer to help build their core products from scratch. They’d be working directly with the founders, making big technical calls, and actually shaping how everything gets built.

• Burnt does not support visa sponsorship at this time.

Tech Stack

• Python
• Pandas, NumPy, Scikit-learn
• React.js, Next.js, HTML, CSS, JavaScript
• SQL, NoSQL, Graph Databases
• WebSockets, Real-time Databases
• AWS, GCP, Azure

Tools

• LangChain
• LlamaIndex
• GitHub
• Docker, Kubernetes
• Postman
• Jupyter
• Terraform
• Datadog / Prometheus (Monitoring)

100% of Must-Haves need to be met

• Experience working for a smaller company around 50 employees or less
• 3–5 years of hands-on experience with Python and core data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• 3+ years of frontend development with HTML, CSS, and JavaScript
• Proficient in modern frontend frameworks like React.js and Next.js
• Experience building real-time UIs using WebSockets and/or real-time databases
• Strong understanding of various database types: relational (SQL), document, columnar, key-value, and graph
• Proven experience building production-grade AI agents and workflow systems, including observability, evaluation frameworks, and memory management
• Skilled at optimizing small language models for scalability and accuracy
• Comfortable deploying across major cloud providers (AWS, GCP, or Azure)
• Deep understanding of AI safety, security, and compliance best practices

70% of Nice-to-Haves need to be met

• Bachelor’s or Master’s in Computer Science or a related field
• Strong machine learning foundation with a pulse on the latest in Generative AI
• Experience building frontend applications with Next.js
• Familiarity with Agile development practices and fast iteration cycles
• Natural leadership and clear communication skills
• Entrepreneurial mindset with the ability to navigate ambiguity and move fast
• Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
• Open-source contributions or personal ML/AI projects
• Experience scaling ML models in production environments
• Solid data engineering skills—pipelines, transformations, and infrastructure
• Understanding of GPU infrastructure and model optimization for performance

Note: This job is by referral only. Candidates must contact Ramone Smith at ramonesmith15@gmail.com for a referral for this position.

Job Type: Full-time

Pay: $125,000.00 - $200,000.00 per year

Benefits:

• Health insurance

Work Location: In person