.png)
.png){kind=logo}
Designs and develops scalable full-stack enterprise applications using React, Java/Spring Boot, and Python. Builds REST APIs, microservices, Generative AI and LLM capabilities, RAG systems, AI agents, and intelligent automation workflows. Integrates enterprise platforms while applying secure coding, automated testing, CI/CD, cloud-native development, and containerization practices. Collaborates with architects, product owners, engineers, and business stakeholders to deliver reliable solutions and provides technical guidance to other engineers.
Job Purpose and Impact
The Senior Full Stack Engineer, AI & Automation job designs, develops and implements complex full-stack applications and intelligent technology solutions that improve business processes and operational efficiency. With minimal supervision, this job develops scalable user experiences using React, enterprise services and APIs using Java/Spring Boot, and Python-based AI and automation solutions. This job partners with business and technology teams to integrate Generative AI, automation and enterprise systems while ensuring solutions meet organizational standards for security, scalability, reliability and performance.
Key Accountabilities
Qualifications
The Senior Full Stack Engineer, AI & Automation job designs, develops and implements complex full-stack applications and intelligent technology solutions that improve business processes and operational efficiency. With minimal supervision, this job develops scalable user experiences using React, enterprise services and APIs using Java/Spring Boot, and Python-based AI and automation solutions. This job partners with business and technology teams to integrate Generative AI, automation and enterprise systems while ensuring solutions meet organizational standards for security, scalability, reliability and performance.
Key Accountabilities
- FULL STACK DEVELOPMENT: Designs, develops, tests and deploys scalable enterprise applications using React, Java/Spring Boot and Python, applying modern software engineering practices and reusable design patterns.
- FRONT-END ENGINEERING: Develops responsive, reusable and high-performance user experiences using React, JavaScript/TypeScript and modern front-end development frameworks and practices.
- BACK-END & API DEVELOPMENT: Designs and develops enterprise backend services, REST APIs and microservices using Java and Spring Boot, integrating applications with internal and external systems.
- PYTHON & AI DEVELOPMENT: Develops Python-based applications and services supporting Generative AI, machine learning, data processing, intelligent automation and enterprise integrations.
- AI SOLUTIONS: Designs and integrates Generative AI and LLM-based capabilities, including Retrieval-Augmented Generation (RAG), AI agents, prompt engineering and AI-enabled workflows into enterprise applications.
- INTELLIGENT AUTOMATION: Identifies opportunities to improve business processes and implements intelligent automation solutions by integrating AI, APIs, workflow technologies and enterprise applications.
- SYSTEM INTEGRATION: Identifies technology interactions and dependencies across applications, APIs, databases and platforms to ensure integration, compatibility, functionality and performance targets are achieved.
- ENGINEERING STANDARDS & DEVOPS: Applies software engineering best practices including secure coding, code reviews, automated testing, CI/CD, Git, cloud-native development and containerization to deliver reliable and maintainable solutions.
- CONTINUOUS IMPROVEMENT: Evaluates emerging AI, automation and software engineering technologies and implements continuous improvement opportunities to simplify solutions, optimize performance and accelerate application delivery.
- TECHNICAL COLLABORATION: Partners with architects, product owners, engineering teams and business stakeholders to translate complex business requirements into scalable technical solutions and provides technical guidance to other engineers.
Qualifications
- Minimum requirement of 10 years of relevant software engineering experience. Typically reflects 12 years or more of relevant experience.
- BTECH / BE from a renowned technology institution .
- Demonstrated hands-on experience with React, Java/Spring Boot and Python.
- Experience designing and developing full-stack enterprise applications, REST APIs and microservices.
- Experience developing or integrating Generative AI, LLM, AI/ML or intelligent automation solutions.
- Experience with modern software development practices including Git, CI/CD, automated testing and cloud-based application development.
- Experience with RAG, AI agents/agentic workflows, workflow automation, Docker/Kubernetes, and cloud AI services is preferred.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
