Designs, develops, and maintains scalable full-stack applications using Next.js, React, Python, and Go. Builds microservices, REST and GraphQL APIs, event-driven systems, and AI-powered applications with LLMs and intelligent agents. Responsibilities include cloud deployments, CI/CD optimization, testing, code reviews, security, performance, and reliability improvements. Collaborates cross-functionally while applying Clean Architecture, Domain-Driven Design, and secure software development practices.
We are looking for a Senior Full Stack Engineer / AI Engineer with strong experience building scalable applications using modern microservices and event-driven architectures.
In this role, you will design, develop, and maintain robust software solutions, working across frontend and backend technologies while contributing to AI-powered applications, LLM integrations, and intelligent agents.
The ideal candidate is a hands-on engineer with strong technical expertise, a solid understanding of software architecture, and a passion for building secure, scalable, and high-performance products.
Key Responsibilities- Design, develop, and maintain scalable applications using Next.js (React), Python, and Go (Golang).
- Architect and implement decoupled microservices following Clean Architecture and Domain-Driven Design (DDD) principles.
- Design and integrate RESTful APIs, GraphQL services, and asynchronous messaging systems.
- Contribute to the development and integration of AI agents using Large Language Models (LLMs) and conversational AI frameworks.
- Ensure application performance, security, reliability, and scalability.
- Conduct code reviews and implement automated unit and integration testing.
- Collaborate with cross-functional teams on cloud deployments using Azure and AWS.
- Contribute to CI/CD pipeline optimization and software development best practices.
- 3-5 years of experience in full stack software development.
- Strong development experience with Next.js (React), Python, and/or Go (Golang).
- Solid experience designing, developing, and consuming RESTful APIs and GraphQL services.
- Hands-on experience with microservices and event-driven architectures.
- Knowledge of SQL databases such as PostgreSQL or SQL Server, and NoSQL technologies such as MongoDB or Redis.
- Familiarity with asynchronous messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus.
- Experience with containerization and orchestration tools, including Docker and Kubernetes.
- Knowledge of CI/CD pipelines, Git, and preferably Azure DevOps.
- Understanding of API security, OAuth 2.0, JWT, and secure development practices.
- Experience implementing unit and integration tests.
- Experience with AI agent frameworks such as LangGraph or AgentCore, or integrating LLMs such as OpenAI or Anthropic.
- Strong understanding of SOLID principles, object-oriented programming, and design patterns.
- Familiarity with Domain-Driven Design (DDD), Clean Architecture, and Clean Code practices.
- Experience with code quality tools such as SonarQube and code coverage analysis.
- Experience with automated testing frameworks.
- Experience working in Agile environments using Scrum or Kanban.
- Familiarity with cloud services such as Azure Web Apps, Azure API Management, and AWS Lambda.
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Marketing Tech • Payments • Social Impact • Software
Build and maintain interactive donation form features using vanilla JavaScript and Ruby on Rails. Develop Rails backend functionality with ActiveRecord, controllers, and ViewComponents; write SQL and optimize PostgreSQL queries. Create semantic HTML, CSS, and Hotwire interfaces, write automated Minitest tests, review code, document technical decisions, and independently drive well-scoped features from requirements through delivery.
Top Skills:
ActiverecordCSSFixturesHotwireHTMLJavaScriptMinitestPostgresRubyRuby On RailsSQLStimulusTurboViewcomponents
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides technical leadership on complex, high-impact engineering projects from design through launch. The role involves architecture, company-wide initiatives, engineering excellence, mentoring technical leaders, and establishing standards for scalable, reliable, secure, observable systems. The engineer will collaborate across teams, communicate complex technical topics, and apply customer-focused decision-making and A/B testing techniques.
Top Skills:
JavaJavaScriptKotlinNode.jsReactScala
Information Technology • Consulting
Design, develop, test, and maintain full-stack web applications and backend services using PHP, Symfony, React.js, and JavaScript. Build and integrate REST APIs, work with SQL and MySQL databases, troubleshoot application issues, participate in technical design and code reviews, and improve performance, reliability, and maintainability. Collaborate with developers, technical leads, and QA engineers while contributing to estimations, planning, and modern CI/CD workflows.
Top Skills:
Ai-Assisted Software Development ToolsCi/CdGitJavaScriptMySQLPHPReactRest ApisSQLSymfony
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
