What are the responsibilities and job description for the Full Stack Engineer – Backend & AI/ML Focus position at Eden Capital Careers?
Full Stack Engineer – Backend & AI/ML Focus
Location: San Francisco, CA (On-site)
About Our Client
Our client is a high-growth tech startup delivering innovative software solutions that integrate AI and machine learning into production systems. They work closely with customers to deploy AI-powered applications and scalable infrastructure, focusing on measurable business impact and hands-on problem solving. The company is based in San Francisco, and the team values intensity, velocity, and ownership across all aspects of development.
Position Overview
We are seeking a Full Stack Engineer to join the team on-site in San Francisco. This role is ideal for candidates who thrive in a fast-paced, high-impact startup environment and want to take end-to-end ownership of features and projects from Day 1. The engineer will work closely with customers, deploy production-grade code, and contribute to both backend systems and AI/ML integrations.
Key Responsibilities
- Ship production-ready features from Day 1 and take full responsibility for your code.
- Own projects end-to-end: create specifications, implement features, deploy, and maintain.
- Solve a wide range of problems including infrastructure scaling, AI/ML integrations, and system design.
- Work directly with customers to iterate quickly and deliver measurable business outcomes.
- Contribute to backend system design, API development, and database management.
- Participate in hiring, team-building, and fostering a high-performance engineering culture.
Minimum Qualifications
- 1 years of professional software engineering experience with production-grade backend code.
- Strong backend engineering skills with Python, including API and database development.
- Demonstrated ownership of end-to-end features and projects.
- Strong technical track record (e.g., top-tier company, quant firm, competitive programming, or AI research/projects).
- Comfortable in fast-paced, startup environments with high-intensity work schedules
- Excellent communication skills, capable of working directly with customers and translating technical concepts into outcomes.
Preferred Qualifications
- Experience integrating AI/ML into production systems (LLMs, LangChain, RAG, function calling, multimodal AI).
- Familiarity with frontend development (React) and cloud infrastructure (AWS/GCP/Azure, Docker, scalable systems).
Work Environment & Benefits
- On-site role in the San Francisco office.
- Fast-paced, high-intensity startup culture with a bias for action and end-to-end ownership.
- Equity grants (0.1%–0.3%) for meaningful ownership in the company.
- Competitive base salary ($150K–$200K, flexible for more experienced candidates).
- Opportunity to work directly with customers and deploy AI/ML solutions at scale.
Salary : $150,000 - $200,000