Top 32 google cloud langchain aws cloud Jobs in san francisco, ca

Early Career Software Engineer – Applied AI
Wonderschool —San Francisco Bay Area, CA
- $100,000 - $120,000 a year
- Computer Science
- Office
- AWS
- Health insurance
- Paid time off
Quick Apply
Generative AI Applications Engineer (Agents & RAG)
Accenture Federal Services —San Francisco, CA
- $103,200 - $203,400 a year
- Remote
- Azure
- AWS
- Mentoring
4d
Sr. Partner Cloud Solutions Architect
Reltio —San Francisco, CA
- $204,000 - $347,000 a year
- Remote
- Azure
- Computer Science
- AWS
Quick Apply
Lead, Applied AI
Uber —San Francisco, CA
- $150,000 - $185,500 a year
- Full-time
- Google Workspace
- Azure
- 5 years
- 401(k)
Senior AI Engineer
Curie —San Francisco, CA
- $180,000 - $275,000 a year
- Full-time
- Hybrid work
- 7 years
- System design
- HIPAA
Quick Apply
Forward Deployed Engineer- Agentic AI
Deloitte —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Up to 50% travel
12d
Forward Deployed Engineer
E2B —San Francisco, CA
- $120,000 - $220,000 a year
- Full-time
- Google Workspace
- 5 years
- System design
- Health insurance
- Dental insurance
Forward Deployed Engineer
Arcade —San Francisco, CA
- Full-time
- Hybrid work
- Azure
- System design
- 3 years
Staff Machine Learning Engineer
AppFolio —San Francisco, CA
- $200,000 - $250,000 a year
- Full-time
- System design
- APIs
- Senior level
2d
Senior Associate, National Security-Cyber Security Governance
Alvarez and Marsal —San Francisco, CA
- $80,000 - $110,000 a year
- Full-time
- System design
- Team management
- Travel
- AD&D insurance
- 401(k)
Senior Consultant - GenAI Full Stack Developer
Deloitte —San Francisco, CA
- $124,658 - $179,431 a year
- Full-time
- Computer Science
- Up to 50% travel
- Office
1d
Principal AI Engineer - Frontier Data
Turing —San Francisco, CA
- $232,000 - $260,000 a year
- Azure
- Computer Science
- Bachelor of Science
- Flexible schedule
Associate Forward Deployed Engineer- Agentic AI
Deloitte —San Francisco, CA
- $110,700 - $218,300 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
5d
Senior Community Engineer
Pulumi —San Francisco, CA
- $152 an hour
- Full-time
- Remote
- Azure
- Computer Science
- Databases
- Paid parental leave
- Health insurance
AI Native Transformation Manager
Accenture —San Francisco, CA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Manager - Data Science / Data Lake
Deloitte —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Up to 50% travel
6d
AI Native Transformation Enterprise Consultant
Accenture —San Francisco, CA
- $63,800 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Digital Assurance & Transparency - Responsible AI - Director
PRICE WATERHOUSE COOPERS —San Francisco, CA
- $134,000 - $410,000 a year
- Azure
- Computer Science
- SQL
- Paid holidays
- Health insurance
Senior Consultant - Data Science / Data Lake
Deloitte —San Francisco, CA
- Full-time
- Azure
- Computer Science
- Up to 50% travel
12d
AI Insurance Solutions Architect, Sr. Manager
PRICE WATERHOUSE COOPERS —San Francisco, CA
- $124,000 - $280,000 a year
- Master's degree
- Databases
- 8 years
- Paid holidays
- Health insurance

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Early Career Software Engineer – Applied AI

Wonderschool -
San Francisco Bay Area, CA

Quick Apply

Job Details

$100,000 - $120,000 a year

Benefits

Health insurance
Paid time off
Parental leave

Qualifications

Public Cloud
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Machine learning libraries
Machine learning frameworks
Cross-functional communication

Full Job Description

About Wonderschool

Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.

We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.

Role Overview

We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You'll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.

Key Responsibilities

Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.

Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
Debug and troubleshoot technical issues to ensure platform stability.
Stay current with emerging technologies and best practices in software engineering and AI.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.
Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Basic understanding of cloud platforms like Google Cloud Platform and AWS.
Excellent communication skills and ability to work in a collaborative, in-person environment.

Nice-to-Have Skills

Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.

What We Offer

Compensation: Expected salary range is $100K–$120K annually, based on experience and location.
Health Benefits: 100% coverage for employee premiums and 80% for dependents.
Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
Parental Leave: Competitive policies eligible after six months of employment.
Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.

Wonderschool's mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.

For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.

The first five years of a child's life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.

Quick Apply

Refine Your Search

google cloud langchain aws cloud jobs in san francisco, ca

Early Career Software Engineer – Applied AI

Generative AI Applications Engineer (Agents & RAG)

Sr. Partner Cloud Solutions Architect

Lead, Applied AI

Senior AI Engineer

Forward Deployed Engineer- Agentic AI

Forward Deployed Engineer

Forward Deployed Engineer

Staff Machine Learning Engineer

Senior Associate, National Security-Cyber Security Governance

Senior Consultant - GenAI Full Stack Developer

Principal AI Engineer - Frontier Data

Associate Forward Deployed Engineer- Agentic AI

Senior Community Engineer

AI Native Transformation Manager

Manager - Data Science / Data Lake

AI Native Transformation Enterprise Consultant

Digital Assurance & Transparency - Responsible AI - Director

Senior Consultant - Data Science / Data Lake

AI Insurance Solutions Architect, Sr. Manager

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