Archer Aviation
Full Stack Developer San Jose, California, United States
Archer Aviation, San Jose, California, United States, 95199
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
Responsibilities
Design, develop, and maintain full-stack applications with integrated generative AI capabilities, including scalable back-end services and APIs that orchestrate and interact with AI models
Implement and optimize UIs and UX ensuring clarity, responsiveness, and user satisfaction
Understand AI/ML model capabilities, integrate them effectively, and contribute to their deployment
Contribute to all phases of the SDLC, including planning, design, development, testing, deployment, and ongoing maintenance
Provide support for production deployments, diagnose and resolve complex issues across the stack to maintain optimal application performance and reliability
Stay current with advancements in generative AI, full-stack development, and related technologies, introducing innovative ideas to the team
Implement secure authentication and authorization systems
Optimize application performance and ensure scalability
Produce clean, maintainable, and well-documented code
Engage in code reviews and uphold coding standards
Contribute to technical architecture discussions and decision-making
Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or related field
5-6 years of full stack web development experience
Backend: Experience with server-side technologies (Node.js, Python, Java, or Go)
APIs: Experience building and consuming RESTful APIs and/or GraphQL
Databases: Proficiency with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
Cloud Platforms: Experience with AWS, Azure, or GCP
Version Control: Proficient with Git and collaborative development workflows
Experience working with GenAI models using APIs
Experience with RAG architecture and vector databases
Ability to craft effective prompts for Large Language Models (LLMs) to achieve desired outputs
Experience with testing frameworks and writing automated tests
Understanding of CI/CD pipelines and deployment processes
Familiarity with containerization (Docker) and orchestration tools
Understanding of security best practices and common vulnerabilities
Strong problem-solving abilities and analytical thinking
Excellent communication and collaboration skills
Self-motivated with ability to work independently
Adaptable and eager to learn new technologies
Detail-oriented with focus on code quality and user experience
We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, age, or any other characteristic protected by federal, state, or local laws.
#J-18808-Ljbffr
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
Responsibilities
Design, develop, and maintain full-stack applications with integrated generative AI capabilities, including scalable back-end services and APIs that orchestrate and interact with AI models
Implement and optimize UIs and UX ensuring clarity, responsiveness, and user satisfaction
Understand AI/ML model capabilities, integrate them effectively, and contribute to their deployment
Contribute to all phases of the SDLC, including planning, design, development, testing, deployment, and ongoing maintenance
Provide support for production deployments, diagnose and resolve complex issues across the stack to maintain optimal application performance and reliability
Stay current with advancements in generative AI, full-stack development, and related technologies, introducing innovative ideas to the team
Implement secure authentication and authorization systems
Optimize application performance and ensure scalability
Produce clean, maintainable, and well-documented code
Engage in code reviews and uphold coding standards
Contribute to technical architecture discussions and decision-making
Qualifications
Bachelor's degree in Computer Science, Data Science, Engineering, or related field
5-6 years of full stack web development experience
Backend: Experience with server-side technologies (Node.js, Python, Java, or Go)
APIs: Experience building and consuming RESTful APIs and/or GraphQL
Databases: Proficiency with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
Cloud Platforms: Experience with AWS, Azure, or GCP
Version Control: Proficient with Git and collaborative development workflows
Experience working with GenAI models using APIs
Experience with RAG architecture and vector databases
Ability to craft effective prompts for Large Language Models (LLMs) to achieve desired outputs
Experience with testing frameworks and writing automated tests
Understanding of CI/CD pipelines and deployment processes
Familiarity with containerization (Docker) and orchestration tools
Understanding of security best practices and common vulnerabilities
Strong problem-solving abilities and analytical thinking
Excellent communication and collaboration skills
Self-motivated with ability to work independently
Adaptable and eager to learn new technologies
Detail-oriented with focus on code quality and user experience
We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, age, or any other characteristic protected by federal, state, or local laws.
#J-18808-Ljbffr