AI Full stack developer
Diamondpick
About the Role
We are seeking highly motivated Full Stack Developers with strong software engineering fundamentals and hands-on experience building AI-powered applications. The ideal candidate will have expertise across frontend, backend, cloud, and modern AI technologies, enabling them to develop scalable, production-ready intelligent applications.
Key Responsibilities
Frontend
We are seeking highly motivated Full Stack Developers with strong software engineering fundamentals and hands-on experience building AI-powered applications. The ideal candidate will have expertise across frontend, backend, cloud, and modern AI technologies, enabling them to develop scalable, production-ready intelligent applications.
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.
- 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.
- 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.
- Experience with Kubernetes and container orchestration.
- Knowledge of observability tools such as Open Telemetry.
- Familiarity with AI evaluation frameworks and production AI monitoring.
- Experience developing enterprise-scale SaaS applications.
- Exposure to agentic AI platforms and workflow automation.
Frontend
- React, Angular, TypeScript, HTML5, CSS3
- Node.js, Python, Java, .NET
- REST APIs, GraphQL, Microservices
- Azure/AWS/GCP
- Docker, Kubernetes
- CI/CD Pipelines
- Azure OpenAI/OpenAI APIs
- RAG, LangChain, Semantic Kernel
- Vector Databases
- Prompt Engineering
- LLM Evaluation & Monitoring
- Strong problem-solving and analytical skills.
- Ability to work independently in a fast-paced environment.
- Excellent communication and collaboration skills.
- Passion for AI innovation and modern software engineering.
- Track record of delivering production-quality software.
Vacancy posted 3 days ago
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