| Job Description: |
Key Responsibilities - Develop modern web applications, APIs, and enterprise integrations.
- Design and build cloud-native solutions on Azure and/or GCP.
- One out of four roles need to have full stack and AI experience in GCP. 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.
Required Qualifications - 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 GCP 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.
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