Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.
NOTE: DETAILED JD WILL BE SHARED TO THE HIRING TEAM. PLEASE OVERLOOK THE ONE THAT IS SHARED HERE..Develop, test, and maintain software applications using Java, Python or Node.js • Write clean, efficient, and well-documented code following best practices. • Demonstrate strong analytical and problem-solving skills to debug and optimize code. • Collaborate with cross-functional teams to design and implement new features. • Understand and apply basic data structures & algorithms to solve programming challenges. • Work with databases (SQL or NoSQL) for data storage and retrieval. • Participate in code reviews and contribute to technical discussions. • Stay updated with emerging technologies, including AI/ML concepts, agents, and automation tools. • Communicate effectively with team members and stakeholders
Similar Jobs
Information Technology • Consulting
Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.
Top Skills:
A/B TestingAgentic AiAmazon BedrockAmazon EcsAmazon EksAmazon Q DeveloperAmazon S3Apache KafkaArtificial IntelligenceAWSAws LambdaChatbotsClaudeClaude CodeContext EngineeringGenerative AiGithub CopilotLlmsMachine LearningMcpMulti-Agent SystemsNoSQLOpenaiPrompt EngineeringPythonRagRedisSQLVector DatabasesVectorization
Information Technology • Consulting
Design, develop, and maintain enterprise AI applications, including conversational assistants, copilots, autonomous agents, RAG solutions, and workflow automation. Build scalable APIs and microservices integrating foundation models and enterprise systems. Apply prompt and context engineering, memory management, observability, governance, and performance optimization. Collaborate with cross-functional teams to identify automation opportunities and participate in Agile development, code reviews, CI/CD, and DevSecOps.
Top Skills:
Agentic Ai FrameworksAmazon BedrockAmazon Q DeveloperCi/CdClaudeClaude CodeCloud-Native MessagingContext EngineeringDevsecopsGenerative AiGithub CopilotJavaScriptKafkaLarge Language Models (Llms)Microservices ArchitectureOpenaiPrompt EngineeringPythonReactRetrieval Augmented Generation (Rag)TypescriptVector Databases
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Develop Android system applications for Toast’s device management platform, focusing on background services, device policy enforcement, setup, firmware and app updates. Support new hardware and OS upgrades, expand automated testing with Robot Framework, investigate production issues, and collaborate with product, hardware, QA, and software teams. The role requires strong Android development skills in Java or Kotlin, Android architecture libraries, debugging tools, and source control.
Top Skills:
AdbAndroidAndroidxGerritGitGitHiltJavaKotlinKotlin CoroutinesLogcatRobot FrameworkUiautomator
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
