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A leading technology firm is looking for an AI Full Stack Engineer to design scalable applications and implement AI-driven features using Node.js, GraphQL, and ReactJS. The ideal candidate should have over 10 years of software development experience with significant exposure to large language models and advanced AI techniques, coupled with strong leadership and problem-solving skills.
Direct message the job poster from mroads
mroads is looking for an "AI Full Stack Engineer" for one of the direct clients. This is a remote opportunity with the client.
We are seeking a highly experienced Principal Engineer / Full stack Architect with deep expertise in Node.js, GraphQL, and ReactJS, combined with a strong background in Artificial Intelligence, particularly in building and integrating Large Language Models (LLMs). You will play a pivotal role in architecting scalable, intelligent full stack solutions, driving innovation, and mentoring engineering teams on cutting-edge AI integration.
Key Responsibilities:
· Lead the design and architecture of robust, scalable fullstack applications using Node.js, GraphQL, and ReactJS.
· Define and implement AI-driven features by integrating and fine-tuning LLMs (e.g., OpenAI, Anthropic, open-source models).
· Collaborate closely with product managers, designers, and other stakeholders to shape technical strategies.
· Ensure code quality and engineering best practices through code reviews, mentorship, and technical guidance.
· Evaluate and implement modern tools and frameworks to streamline development and AI workflows.
· Guide the team in deploying, optimizing, and maintaining LLM-based services at scale.
Required Skills and Experience:
· 10+ years of overall software development experience, with at least 3+ years in an architectural role.
· API Design: GraphQL (Apollo or similar), REST
· Deep understanding and hands-on experience with LLMs, including prompt engineering, fine-tuning, embeddings, and deployment.
· Experience with AI toolkits and platforms (e.g., LangChain, Pinecone, VectorDBs, OpenAI APIs).
· Strong cloud knowledge (AWS, GCP, or Azure), with experience deploying fullstack and AI-based solutions.
· Excellent problem-solving, communication, and leadership skills.
Nice to Have:
· Experience with containerization (Docker, Kubernetes)
· Familiarity with CI/CD pipelines and DevOps practices
· Knowledge of security best practices for web and AI systems
· Open-source contributions or publications in AI/LLM domain
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