GenAI Full Stack Engineer

Job title: GenAI Full Stack Engineer in Texas at Del Oro Consulting
Company: Del Oro Consulting
Job description: GenAI Full-Stack Engineer$65-$75/hr, 1 Year Consulting Contract, RemoteDel Oro Consulting, a nationwide consulting firm with over 20 years of experience providing strategic technology solutions, is seeking a highly skilled GenAI Full Stack Engineer. This role involves building and maintaining robust, scalable AI-powered web applications while integrating state-of-the-art AI and cloud technologies.You will be responsible for end-to-end development, from front-end interfaces to backend services and AI model integration. The ideal candidate has a strong software engineering background and experience working with GenAI components, data pipelines, and modern deployment frameworks.Key Responsibilities:Customer Solutions

• 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.

Full-Stack Web Development

• 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.

AI Integration and GenAI Engineering

• 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.

Cloud Infrastructure and 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.

Data and Systems Management

• 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.

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or equivalent.
• 5+ years of Full Stack AI 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).

Details of Position:

• Work Arrangement: Remote
• Pay Rate: $65-$75/hour, Consultant, 1 Year Contract Opportunity on a W2
• Benefits include Medical, Dental, Vision & 401(k) (with a match)
• Applicants must be authorized to work for any employer in the United States. We are currently unable to sponsor or take over sponsorship of employment Visa.

Del Oro Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Expected salary: $65 - 75 per hour
Location: Texas
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