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Machine Learning Engineer for Cloud Native AI SAAS

Job Title:  AI/ML & Data Ingestion Engineer 
Location:  Bay Area, CA
Job Type:  Founding Level SWE, Full Time, 3 days onsite
Salary: Founders-level equity and $200K-$250K+
Job ID: 7335

 

AI/ML & Data Ingestion Engineer – Develops and optimizes machine learning models that drive the company’s sales software. Collaborates on MLOps practices and integrates large language models (LLMs) into APIs and AI agents.

Core Strengths:

  • Primary: ML Model Development

  • Secondary: MLOps and LLM Integration

Skills & Responsibilities:

  • Design, develop, and validate ML models for account scoring, lead scoring, and predictive analytics
  • Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch)
  • Streamline model deployment and maintenance by implementing automated pipelines for training and deployment

  • Integrate large language models (LLMs) into APIs and AI agents for data summarization and actionable insights.

  • Analyze large datasets to inform model development and ensure data quality.

  • Natural Language Processing, Vector Databases

  • Monitor and optimize model performance in production through A/B testing and other evaluation techniques

  • Align models with business objectives and provide data-driven recommendations to enhance product features

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.

Apply Now:
Bring your expertise in machine learning and LLM integration.

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.

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

Golang Python for AI Full-Stack Platform Engineer for Cloud Native AI SAAS

Job Title:  Golang & Python AI Full-Stack Platform 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-$250+
Job ID: 7334

 

Full-Stack Platform Engineer – You will develop the user interface and ensure seamless integrations across Slack, Salesforce, web, and mobile platforms. Collaborate with API developers to deliver a cohesive and responsive user experience.

Core Strengths:

  • Primary: UI Development and Platform Integration

  • Secondary: API Collaboration

Skills & Responsibilities:

  • Design and implement responsive React interfaces using modern front-end frameworks and React, Vue.js, or Angular for client existing applications

  • Implement real-time data updates and notifications using Apollo, GraphQL WebSockets or similar technologies

  • Develop and maintain integrations with Slack, Salesforce, web, and mobile applications using Python, Golang and Typescript 

  • Align front-end needs with API capabilities by collaborating with the API & Application Backend Engineer

  • Conduct automated user testing with Cypress or similar tools to gather feedback to continuously improve UI/UX.

  • Implement best practices for accessibility and usability across all platforms.

 

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.

Apply Now:
Bring your expertise in machine learning and LLM integration.

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.

API Engineer for Cloud Native AI SAAS

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

  • 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.

 

SRE & Data Engineer for Cloud Native AI SAAS

Job Title:  SRE & Data Engineer
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: 7330

Are you passionate about designing scalable data pipelines and ensuring robust infrastructure for seamless data flow?

Your job is to establish and maintain the foundational infrastructure, ensuring consistent, scalable, and reliable systems that support all engineering projects and data ingestion processes.

Core Strengths:

  • Primary: Infrastructure Layer

  • Secondary: Data Ingestion Pipelines

Skills & Responsibilities:

  • Set up and maintain GCP cloud native infrastructure and manage pipelines, exposure to client infrastructures in AWS & Azure

  • Build high-performance compute platforms for ML applications at scale using Python, Golang, argoCD

  • Write custom Terraform providers in Go to administer platform ACLs and enable cross-product AuthZ IaC

  • Design and automate infrastructure architecture using IaC tools like Terraform or Ansible

  • Build and maintain scalable data ingestion pipelines from CRMs, Marketing Automation, and Sales Acceleration Platforms

  • Perform data normalization, cleaning, and transformation for quality assurance. 

  • Exposure to Data Science

  • Manage cloud persistence for database and storage solutions for efficient data retrieval and storage. (Shared with Application Engineer.)

  • Ensure all engineering teams adhere to infrastructure standards and provide necessary support.

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!

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.