Job Description
Founding Engineer
- Title of Role: Founding Engineer
- Location: San Francisco, onsite
- Company Stage of Funding: Venture-Backed — AI, Data, B2B, Software Development, Enterprise
- Office Type: Onsite
- Salary: $150K–$220K
We're representing a dynamic venture-backed company at the forefront of AI and data solutions for B2B enterprises. This innovative firm is dedicated to transforming how businesses leverage data through cutting-edge software development. With a strong focus on creating impactful solutions, they are poised for significant growth in the rapidly evolving tech landscape.
What You Will Do
- Design and implement scalable backend systems using AWS and GCP.
- Develop and maintain REST APIs to support various applications and services.
- Collaborate with cross-functional teams to integrate machine learning models into production.
- Optimize data storage and retrieval processes using vector stores.
- Participate in code reviews and contribute to best practices in software engineering.
- Troubleshoot and resolve issues in production environments to ensure system reliability.
- Assist in the deployment of infrastructure solutions and automation processes.
Ideal Candidate Background
- 1-4 years of experience in backend engineering or related fields.
- Proficiency in AWS and GCP for cloud infrastructure management.
- Experience developing REST APIs and working with vector stores.
- Strong understanding of software development principles and best practices.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
Preferred
- Familiarity with Langchain and its applications in machine learning.
- Experience in infrastructure, DevOps, or Site Reliability Engineering (SRE).
- Knowledge of containerization technologies and orchestration tools.
Compensation and Benefits
The base salary for this role ranges from $150K to $220K, accompanied by competitive equity options. This is an exciting opportunity to join a forward-thinking team and contribute to groundbreaking projects in the AI and data space.
