GenAI Full Stack Engineer

Summary

Join Del Oro Consulting as a GenAI Full-Stack Engineer for a 1-year remote contract. Partner with our high-tech client to build and maintain robust, scalable AI-powered web applications. You will be responsible for end-to-end development, integrating state-of-the-art AI and cloud technologies. The ideal candidate possesses a strong software engineering background and experience with GenAI components, data pipelines, and modern deployment frameworks. The role requires working PST business hours. Compensation is $65-$75/hour.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent
• 1+ years of Full Stack AI Engineering experience
• 5+ years of Full Stack Engineering experience
• 5+ years experience with Next.JS., React
• 5+ years experience building microservices
• 2+ years writing Python
• Familiarity with cloud platforms (AWS, GCP, Azure) for AI deployment
• Experience with Vector databases, Tailwind or Bootstrap CSS, Langchain, Open AI
• Strong database management and data modeling skills
• Solid experience with Git, GitHub/GitLab, and Agile development practices
• Experience with AI-driven systems (e.g., chatbots, recommendation engines, NLP)

Responsibilities

• Deliver GenAI solutions to customers as Professional Services engagement
• Build on cloud services to quickly build and deploy
• Provide oversight of delivery throughout implementation
• Ensure that a quality solution is delivered in a timely manner, within budget, and out the client's satisfaction
• Contribute to the development of internal best practices as well as new innovative consulting services offerings that we can take to market
• Design, develop, and maintain full-stack web applications with a focus on AI-driven features
• Use Tailwind or Bootstrap CSS to build websites
• Build responsive, user-centric front ends using modern JavaScript frameworks, with a strong emphasis on Next.js and React in Typescript
• Develop and optimize robust back-end services and APIs using Node.js , Python (Flask/Django) , and Express.js
• Apply software engineering best practices including code quality, testing, performance optimization, and scalability
• Integrate GenAI models (e.g., LLMs , RAG , agentic systems ) and APIs into web applications for automation, personalization, and analytics
• Work with AI/ML frameworks such as Langchain, OpenAI, Amazon Bedrock, Google Vertex AI , and others
• Develop intelligent, task-oriented systems using agentic architecture
• Implement cloud-native AI services for scalable and secure deployment
• Deploy AI and web solutions in cloud environments (AWS, Azure, GCP) with strong attention to scalability and security
• Build and maintain microservices , RESTful APIs , and GraphQL interfaces
• Use containerization tools ( Docker , Kubernetes ) and CI/CD pipelines to ensure smooth development and deployment workflows
• Leverage MLOps tools and best practices for model lifecycle management and monitoring
• Design and manage databases ( SQL, NoSQL, Firebase, MongoDB) , ensuring seamless data flow between applications and AI models
• Build data pipelines and backend systems to support real-time AI inference and analytics

Benefits

Medical, Dental, Vision & 401(k) (with a match)