Cloud-Native AI SaaS API Engineer — Founders’ Equity

SherlockTalent; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Founders-level equity

Impactful projects

Innovation-driven environment

$1,000 bonus for successful referrals

Job summary

Join SherlockTalent as an API Engineer to develop impactful applications for cloud native AI. You will lead API design, manage background jobs, and collaborate with a talented team pushing the boundaries of AI technology. This role offers a competitive salary, equity, and a bonus for referrals.

Qualifications

• Bachelors or Masters in Computer Science or Engineering preferred.

Responsibilities

• Develop and maintain application layer APIs for cloud native AI SAAS.
• Design and implement GraphQL or RESTful APIs with Python and Golang.
• Manage background workers and asynchronous job processing.

Skills

API Development

Background Job Management

Python

Golang

GraphQL

RESTful APIs

Kafka

Celery

RabbitMQ

Education

Bachelors or Masters in Computer Science or Engineering

Job description

Job Title: API Engineer for Cloud Native AI SAASLocation: Bay Area, CA, 3 days a week onsiteJob Type:Founding Level SWE, Full TimeSalary: Founders-level equity and $200K-$250K+Job ID: 7333

API Engineer Web Services for Cloud Native AI SAAS - You will developand maintain application layer APIs, facilitate data flow into the application database, build endpoints for platform integrations, and manage background jobs and AI agent coordination.

Core Strengths:

• Primary: Application Layer

• Secondary: API Development & Background Job Management

Skills & Responsibilities:

• Design and implement GraphQL or RESTful APIs with Python and Golang for internal and external integrations

• Pull ingested data into the application database and develop endpoints for Slack and Salesforce integrations.

• Shared responsibilities with Full-Stack Engineer and front end engineer

• Manage background workers and asynchronous job processing using tools such as Kafka, Celery or RabbitMQ

• Integrate AI models and agents into the application layer. (In collaboration with the full-stack engineer and Data Scientists

• Lead decisions on API and queue stack choices and align API architecture with system design

• Collaborate with Infrastructure & Data Engineer and Full-Stack Platform Engineer to support integrations

Education: Bachelors or Masters in Computer Science or Engineering is preferred

Why Join the Team?

You’ll work on impactful projects, pushing the boundaries of AI and machine learning.

Join a team that values innovation, collaboration, and the transformative power of technology.

Let’s build the future together!

Some information about the company:

1. Proven Leadership and Track Record:The leadership team brings a wealth of experience across various startups, demonstrating adaptability and success in creating high-growth companies. This track record of success, coupled with strong ties to venture capital, ensures a solid foundation for new ventures.

2. Backed by Major Venture Capitalists:Having financial support from well-established venture capitalists positions the company to scale quickly while maintaining financial stability. This partnership provides both capital and strategic guidance for navigating the complexities of growth.

3. Customizing Existing Models:Instead of starting from scratch, the company focuses on adapting and optimizing existing LLMs to maximize success in specific markets and industries.

4. Targeted Success:Rather than taking a broad, one-size-fits-all approach, the company tailors its strategies to the unique demands of each market and target customer segment, ensuring higher chances of success and more sustainable growth.

SherlockTalent loves to share $1,000 bonuses for successful referrals. H-1B transfers are possible.