AI Enabled Full-Stack Software Engineer
US client via staffing partner · Santa Clara, CA
- Location
- Santa Clara, CA
- Salary band
- Band not stated
- Type
- Contract
- Level
- Mid
- Work authorization
- Not stated
Stack
JavaScript · TypeScript · React · Angular · Vue · Node.js · Python · Java · .NET · REST APIs · Microservices · SQL · NoSQL · Azure · AWS · GCP · Docker · Kubernetes · CI/CD · LangChain
About the role
Role: AI Enabled Full-Stack Software Engineer Location: Santa Clara, CA Duration: Contract Key Responsibilities: - Design, develop, test, and deploy full stack applications using modern web technologies. - Build and integrate AI/LLM-powered capabilities into enterprise applications. - Develop scalable backend APIs and microservices. - Create intuitive and responsive frontend experiences. - Integrate external APIs, databases, and enterprise systems. - Collaborate with product managers, architects, and cross-functional teams to deliver high-quality solutions. - Optimize application performance, security, reliability, and observability. - Participate in code reviews, architecture discussions, and technical design sessions. - Stay current with emerging AI, agentic frameworks, and software engineering best practices. Required Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 4-8 years of software development experience. - Strong proficiency in JavaScript/TypeScript. - Experience with modern frontend frameworks such as React, Angular, or Vue. - Strong backend development experience using Node.js, Python, Java, or .NET. - Experience building REST APIs and microservices. - Hands-on experience with SQL and/or NoSQL databases. - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of Git, CI/CD, containerization, and DevOps practices. AI Experience (Required) - Experience working with Large Language Models (OpenAI, Azure OpenAI, Anthropic, or open-source models). - Experience with Retrieval-Augmented Generation (RAG), agents, prompt engineering, or AI orchestration frameworks. - Familiarity with vector databases and semantic search. - Experience building generative AI applications for real-world use cases. Preferred Qualifications - Experience with Kubernetes and container orchestration. - Familiarity with AI evaluation frameworks and AI monitoring. - Experience developing enterprise-scale SaaS applications. - Exposure to agentic AI platforms and workflow automation. Technical Skills Frontend - React Backend - Node.js, Python, but ability to switch between Java & .NET - REST APIs, Microservices Cloud & DevOps - Azure/AWS/GCP - Docker, Kubernetes - CI/CD Pipelines AI & Data - Azure OpenAI/OpenAI APIs - RAG, LangChain, Semantic Kernel - Vector Databases - Prompt Engineering LLM Evaluation & Monitoring
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