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# Full stack Software Engineer

- **Company:** Peaklnk Technologies, Inc.
- **Location:** Pomona, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), PostgreSQL, NoSQL, Systems Development Life Cycle, Cloud Services, Next.js, SQL Databases, SQLAlchemy, Systems Integration, TypeScript, Web Applications, Google Cloud, Large Language Models, Software Security, Generative AI, Git, Event Driven Architecture, Build Management, Information Technology, Restful APIs, Microservices
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/0dee25ea-2134-4735-8e1d-55adf30cff88

## About the Role

* Bachelor''s degree in Computer Science, Engineering, or related field.
 * 8+ years of full-stack software development experience.
 * AI - experience with using AI in SDLC, implementing RAG, evaluating LLM etc.
 * Strong experience with:

 * Next.js, Typescript, Python
 * PostgreSQL, Drizzle and/or SQLAlchemy ORM
 * REST APIs and microservices
 * SQL/NoSQL databases
 * Azure and/or Google Cloud Platform cloud services
 * Git, CI/CD, and DevOps practices

Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

 * Experience building AI-enabled applications.
 * Knowledge of Azure OpenAI, Vertex AI, RAG, and Generative AI solutions.
 * Experience with enterprise workflow automation and integrations.
 * Familiarity with utility, engineering, construction, or permitting systems.

## Description

* Develop modern web applications, APIs, and enterprise integrations.
 * Design and build cloud-native solutions on Azure and/or Google Cloud Platform.
 * One out of four roles need to have full stack and AI experience in Google Cloud Platform. Other three in full stack and Azure AI ecosystem.
 * Implement scalable microservices and event-driven architectures.
 * Support CI/CD, DevOps, and application security best practices.
 * Integrate AI/LLM capabilities into business workflows.
 * Collaborate with architects, product owners, and business stakeholders.
 * Mentor junior engineers and contribute to technical standards.


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