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Full stack developer Jobs in San Francisco, CA

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Full stack developer • san francisco ca

Last updated: 11 hours ago

Full Stack Engineer

Weekday AISan Francisco, CA, US
$180,000.00–$250,000.00 yearly
Full-time
Quick Apply

This role is for one of the Weekday's clients.AI-driven application development.The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable ba... Show more

Full-Stack Engineer

Product PulseSan Francisco, California, US
Full-time

We build infrastructure for Agent Behavior Monitoring (ABM).While traditional observability focuses on logging exceptions and latency, ABM surfaces behavioral anomalies such as instruction drifts a... Show more

AI Full Stack Engineer

MercorSan Francisco, California, United States
$90.00 hourly
Remote
Full-time
Quick Apply

Headquartered in San Francisco, our investors include.Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++).Build and ship full-stack applications, services, and internal tools in.Inte... Show more

Founding Full Stack Engineer (Applied AI)

AI Talent NowSan Francisco, CA, us
Full-time

Our growing client, a San Francisco-based startup founded in 2025 that builds autonomous post-sales AI agents, is interviewing now for a looking for a.AI-powered customer lifecycle management.We ar... Show more

Full Stack Engineer

Global Placement FirmSan Francisco, California, United States
$180,000.00–$240,000.00 yearly
Full-time +1
Quick Apply

Full Stack Engineer – AI / Defense Technology.Global Placement Firm is conducting a confidential search for Full Stack Engineers.AI and defense technology company building mission-critical software... Show more

 • New!

Staff Engineer – Full-Stack

NPA WorldWideSan Francisco, California, USA
Full-time +1

Job description: We are hiring a senior individual contributor to serve as the de facto technical lead for a small, fast-growing B2B software company in the finance operations space.This person wi... Show more

Full-Stack Product Engineer

Vertex Sigma SoftwareSan Francisco, California, US
Remote
Full-time
Quick Apply

Turbine One is the frontline perception company.We deliver decision advantage, better situational awareness, and stronger force protection for customers who rely on timely, high-quality intelligenc... Show more

Cyber Full-Stack Technical Architect/Manager

DeloitteSan Francisco, CA, United States
Full-time

Manager And Technical Architect.Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity.Deloitte's Cyber team helps our clients navigate the ever-changin... Show more

Full Stack Engineers

ApiphanySan Francisco, California, United States
$136,000.00–$160,000.00 yearly
Full-time

Apiphany is a pioneering foundational AI company for physical product development.We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured t... Show more

Full-Stack Engineer, Agent Management Platform

CrewAISan Francisco, CA, US
Full-time
Quick Apply

CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies.The Agent Mana... Show more

Full Stack Developer

luminasadvisorsSan Francisco, California, United States of America (USA)
Full-time

Join Our Innovative Team as a Full Stack Developer.We are seeking a versatile and highly skilled Full Stack Developer to become a vital part of our dynamic, agile development team.In this role, you... Show more

Full-Stack Engineer

Career LaunchSan Francisco, CA, USA
Remote
Full-time
Quick Apply

Career Launch is hiring for this role and related opportunities.We review candidate profiles across active roles and use resumes/profiles to understand which backgrounds may be a fit.As a Full-Stac... Show more

Full Stack Software Engineer - Remote

YO AI LabsSan Francisco, CA, USA
Remote
Full-time
Quick Apply

AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using.You will design reproducible environments, deterministic veri... Show more

Full-Stack Engineer

Max AI, Inc.San Francisco, CA, US
$140,000.00–$220,000.00 yearly
Full-time
Quick Apply

Max AI – Stripe for Healthcare.Max AI is the World’s first human-free, fully-autonomous medical billing AI agent.Many startups are attempting to attack this problem because the market is so big — $... Show more

Full Stack Engineer ID83106

AgileEngineSan Francisco, CA, us
Full-time

Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Bes... Show more

Full-Stack Developer - IAM

MaintainXSan Francisco, CA, United States
Full-time

We are looking for Full Stack Developers to join our IAM (Identity and Access Management) team in the Engineering Organization.This role has openings at Intermediate and Senior level positions.The ... Show more

Full-Stack AI Engineer – Real-Time Products

MaxIT Consulting - Max Corporate GroupSan Francisco, California, United States
Full-time
Quick Apply

SF Bay Area, California | Fully On-site.Full-Stack AI Engineer – Real-Time Products.AI platform used in real-world industrial environments.You will work across the full product stack, from real-tim... Show more

Founding Full Stack Engineer

AonicSan Francisco, California, United States, 94111
$130,000.00–$160,000.00 yearly
Full-time

San Francisco (Jackson Square) - onsite, high-collaboration role.Aonic is deploying AI to drastically reduce the cost of living.We are building Aonic Club: the club contract Costco proved over four... Show more

Sr. Full Stack Software Engineer

Procense, Inc.San Francisco, California, United States
Full-time

We have high demand for our products, and are looking for an experienced full stack software engineer to help us build our unique offering.From food and pharmaceuticals to chemicals and personal ca... Show more

Full-Stack Engineer

Purple UnicornSan Francisco, California, United States
$150,000.00 yearly
Full-time

Non-negotiable: ALL ROLES ARE ON-SITE IN SAN FRANCISCO.IN ORDER TO BE CONSIDERED YOU MUST BE LOCAL OR WILLING TO MOVE.Must be authorized to work in the US***.America's industrial base runs on ... Show more

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Full Stack Engineer

Full Stack Engineer

Weekday AISan Francisco, CA, US
30+ days ago
Salary
$180,000.00–$250,000.00 yearly
Job type
  • Full-time
  • Quick Apply
Job description

This role is for one of the Weekday's clients

Salary range: $180k - $250k
Experience: 6+ YoE

We are seeking an experienced Full Stack Engineer with a strong background in AI-driven application development, Python, TypeScript, and ETL pipelines. The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features.

Requirements

Key Responsibilities

  • End-to-End Development: Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend.
  • Backend Engineering: Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.
  • Frontend Development: Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular), ensuring an exceptional user experience.
  • AI Integration: Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring.
  • ETL Pipeline Development: Design, implement, and optimize ETL processes to efficiently collect, transform, and load large-scale datasets from multiple sources.
  • API Design & Integration: Develop and consume RESTful and GraphQL APIs for communication between services and external systems.
  • Cloud Deployment: Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments.
  • Testing & Quality Assurance: Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability.
  • Collaboration: Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features.
  • Continuous Improvement: Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices.

Required Skills & Qualifications

  • Experience: 6–10 years in full stack development, with at least 2–3 years in AI-driven application projects.
  • Programming Expertise: Strong proficiency in Python for backend/API development and TypeScript for frontend applications.
  • Frameworks: Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js).
  • ETL & Data Engineering: Proven track record in designing and maintaining ETL pipelines and working with data processing tools (Airflow, dbt, or similar).
  • Databases: Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar).
  • AI/ML Integration: Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn.
  • Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory).
  • Problem Solving: Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems.
  • Collaboration: Excellent communication skills and a track record of working in agile, cross-functional teams.

Preferred Qualifications

  • Prior experience with real-time data processing and streaming technologies (Kafka, Spark).
  • Knowledge of MLOps best practices for model deployment and monitoring.
  • Understanding of data governance, security, and compliance standards.