Full Stack AI Engineer
Please mention DailyRemote when applying
AI Summary
Design and build production-grade AI applications using LLMs, RAG, and agentic workflows. Manage full-stack development, cloud deployment, and integration of AI models into enterprise systems.
Benefits:
- 401(k)
- Competitive salary
Full Stack AI Engineer
Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.
Responsibilities:
AI & Agentic Systems
- Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
- Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
- Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
- Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
- Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.
Full Stack Development
- Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
- Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
- Design and optimize SQL and NoSQL databases.
- Implement authentication, authorization, and secure enterprise-grade integrations.
- Create reusable APIs and SDKs for AI capabilities across multiple products.
Cloud & Platform Engineering
- Deploy AI applications on Azure, AWS, or Google Cloud Platform.
- Build containerized services using Docker and Kubernetes.
- Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
- Optimize AI infrastructure for scalability, performance, and cost efficiency.
Product & Innovation
- Partner with product managers and customers to translate business challenges into AI solutions.
- Rapidly prototype and productionize AI use cases.
- Evaluate emerging AI technologies and recommend adoption strategies.
- Contribute to AI platform roadmap and innovation initiatives.
Requirements:
Required Qualifications:
- Bachelor''s degree in Computer Science, Engineering, or related field.
- 5+ years of full-stack software development experience.
- Strong proficiency in:
- Python
- TypeScript / JavaScript
- React / Next.js
- Node.js or FastAPI
- Experience building REST APIs and microservices.
- Hands-on experience with:
- OpenAI / Azure OpenAI APIs
- RAG architectures
- Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
- LangChain, LangGraph, Semantic Kernel, or similar frameworks
- Experience with Docker, Kubernetes, and cloud-native architectures.
- Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.
This is a remote position.
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