Key Responsibilities
• Develop modern web applications, APIs, and enterprise integrations.
• Design and build cloud-native solutions on Azure and/or GCP.
o 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:
o Next.js, Typescript, Python
o PostgreSQL, Drizzle and/or SQLAlchemy ORM
o REST APIs and microservices
o SQL/NoSQL databases
o Azure and/or GCP cloud services
o 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.
