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