ironquill.tech/board

$ cat jobs/senior-full-stack-ai-engineer-srm-technologies-e143aa07c4c2.json

Senior Full Stack AI Engineer

srm technologies·US·United States·senior
javascripttypescriptnode.jsreactdjangoflaskfastapirestawsgcpllmdevopsmicroservices
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This is a remote position. Job Description: Senior Full Stack AI Engineer (8+ YoE) Role: Senior Full Stack AI Engineer Experience: 8+ years in software engineering, including 3+ years of hands-on full stack product development Role Type: Professional IT Engineering Role Role Overview We are seeking a highly skilled and experienced Senior Full Stack AI Engineer to design, develop, and deliver scalable, secure, and intelligent software products. The ideal candidate will have strong expertise across frontend and backend technologies, hands-on experience in end-to-end product development, and practical exposure to AI-driven applications such as Retrieval-Augmented Generation (RAG), chatbots, Large Language Models (LLMs), and prompt engineering. This role requires a professional IT engineer who can work across the full software development lifecycle, collaborate with cross-functional teams, and build production ready AI-enabled solutions on modern cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure. Key Responsibilities • Design, develop, and maintain end-to-end web applications using modern frontend and backend technologies. • Build responsive, high-performance user interfaces using React JS and related JavaScript or TypeScript frameworks. • Develop scalable backend services, RESTful APIs, and microservices using Node.js, Django, FastAPI, Flask, or similar frameworks. • Own full product development lifecycle activities including requirements analysis, architecture design, implementation, testing, deployment, monitoring, and continuous improvement. • Integrate AI capabilities into enterprise applications using LLMs, RAG pipelines, chatbot frameworks, and prompt engineering techniques. • Design and implement AI-enabled workflows including document ingestion, embeddings, vector search, retrieval optimization, and response generation. • Collaborate with product managers, UX designers, AI/ML engineers, DevOps teams, and business stakeholders to deli

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