Archer
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.
What you’ll do (Key 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 What you need (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 Compensation and Diversity
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are targeting a base pay between $120,000 - $145,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and 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, veteran status, age, or any other protected characteristic as required by applicable law.
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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 What you need (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 Compensation and Diversity
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are targeting a base pay between $120,000 - $145,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and 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, veteran status, age, or any other protected characteristic as required by applicable law.
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