Description

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

Key Skills

Education

Bachelor's degree