Fullstack AI developer

Full Stack AI Developer (Level 7–8)

General motors

Rate : $65hr W2

• Must be available for an interview today or Monday.

• Location: Austin, TX (Onsite)
  
  Job Summary
  We are seeking an experienced Full Stack AI Developer to design, develop, and deploy intelligent, AI-powered applications. The ideal candidate will have strong full-stack engineering expertise combined with hands-on experience integrating Generative AI, Large Language Models (LLMs), and AI-driven capabilities into enterprise applications.
  This role requires an individual who can independently drive application development, build scalable backend services, develop modern user interfaces, and integrate AI/ML solutions into production-ready systems.
  Key Responsibilities
  • Design, develop, and maintain scalable full-stack applications.
  • Build modern frontend applications using React, Angular, or similar frameworks.
  • Develop backend services and RESTful APIs using Python, Java, Node.js, or equivalent technologies.
  • Integrate Generative AI capabilities and LLM-based solutions into enterprise applications.
  • Work with frameworks such as LangChain, LangGraph, or similar AI orchestration tools.
  • Develop AI-powered workflows, intelligent agents, and RAG-based applications.
  • Integrate enterprise data sources, vector databases, and external APIs.
  • Optimize application performance, scalability, security, and reliability.
  • Collaborate with architects, product owners, and cross-functional engineering teams.
  • Support application deployment using Docker, Kubernetes, and CI/CD pipelines.

Required Technical Skills
• Strong full-stack development experience.
• Frontend: React, Angular, JavaScript, TypeScript, HTML5, CSS.
• Backend: Python, FastAPI, Java, Node.js, or Spring Boot.
• AI/ML: Generative AI, LLMs, Prompt Engineering, RAG.
• AI Frameworks: LangChain, LangGraph, LlamaIndex, or equivalent.
• API Development: REST APIs, microservices, API integration.
• Databases: PostgreSQL, SQL Server, MongoDB, or equivalent.
• Vector Databases: Pinecone, FAISS, Chroma, or similar.
• Cloud: Azure, AWS, or Google Cloud Platform.
• DevOps: Docker, Kubernetes, Git, CI/CD.
Preferred Qualifications
• Experience developing production-grade AI applications.
• Experience building agentic AI workflows and multi-agent systems.
• Knowledge of Azure OpenAI, OpenAI APIs, or equivalent LLM platforms.
• Experience with enterprise application architecture and distributed systems.
• Strong debugging, problem-solving, and technical leadership capabilities.
Candidate Requirements
• Senior-level engineering capability (Level 7–8).
• Ability to work independently and own end-to-end development.
• Strong communication and stakeholder collaboration skills.
• Austin, TX local candidates preferred.