API Engineer for Cloud Native AI SAAS

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 SAAS
Location: Bay Area, CA, 3 days a week onsite
Job Type: Founding Level SWE, Full Time
Salary: Founders-level equity and $200K-$250K+
Job ID: 7333

API Engineer Web Services for Cloud Native AI SAAS - You will develop and 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
• Ingest data into the application database and develop endpoints for Slack and Salesforce integrations
• Collaborate with Full-Stack Engineer and Front-End Engineer on shared responsibilities
• 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 Data Scientists and Full-Stack Engineers
• Lead decisions on API and queue stack choices, aligning API architecture with system design
• Work with Infrastructure & Data Engineers and Platform Engineers to support integrations

Education: Bachelors or Masters in Computer Science or Engineering 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!

About the Company:

• Proven Leadership: Leadership with experience across startups, demonstrating success and strong venture capital ties.
• Venture Capital Support: Backed by major VCs enabling rapid scaling and strategic growth.
• Model Customization: Focus on adapting existing LLMs for specific markets and industries.
• Targeted Strategy: Tailored approaches for each market and customer segment for sustainable growth.

SherlockTalent offers a $1,000 bonus for successful referrals. H-1B transfers are possible.