Senior Full Stack Engineer - AI Native Solutions
Senior remote full-stack engineer owning end-to-end delivery of AI-native applications: building React/Angular/Vue frontends, Node/Python/Java/.NET backends, SQL/NoSQL databases, and AWS/Azure/GCP infrastructure, with LLM-powered features via RAG, AI agents, and AI-assisted tools like Claude Code and Copilot.
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 4+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 8+ years of professional software engineering experience
- At least 4 years of hands-on experience building and delivering full-stack applications
- Strong JavaScript/TypeScript and modern frontend frameworks (React, Angular, or Vue)
- Backend development with at least one of Node.js, Python, Java, or .NET
- Experience designing REST APIs and/or GraphQL services, authentication, and microservices
- Strong database knowledge across SQL and/or NoSQL technologies
- Hands-on experience with AWS, Azure, or GCP
- Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation tools such as Terraform
- Practical exposure to AI-assisted coding tools and integrating LLM APIs into applications
- Good understanding of software architecture, testing, security, debugging, and production support
- Strong problem-solving, communication, and technical ownership skills
Nice to have
- Experience building production-grade Generative AI applications, RAG pipelines, or AI agents
- Experience with Claude API, OpenAI API, LangChain, LangGraph, MCP, or vector databases
- Exposure to AWS Bedrock, Snowflake, or enterprise AI platforms
- Experience with React Native or Flutter
- Consulting experience, client-facing delivery, or work across multiple technology stacks
- Cloud certifications or contributions to open-source projects
Full description
Senior Full Stack Engineer (AI-Native) : Experience : 8+ Years.
Location : Remote.
Employment Type : Full-Time.
We are looking for an experienced Senior Full Stack Engineer (AI-Native) who can design, develop, and deploy end-to-end software solutions.
The ideal candidate should have strong full-stack development skills, hands-on cloud experience, and practical exposure to AI-assisted engineering and LLM-powered applications.
You will take ownership of projects from requirement analysis and architecture through development, deployment, and production support.
We value problem-solving ability, adaptability across technology stacks, and a strong focus on delivering production-ready solutions.
Key Responsibilities :
- Design, develop, and deploy end-to-end applications covering frontend, backend, databases, and cloud infrastructure.
- Build responsive and scalable user interfaces using React, Angular, Vue, JavaScript, or TypeScript.
- Develop backend services, APIs, and microservices using Node.js, Python, Java, or .NET.
- Design and optimize relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, and Redis.
- Build AI-powered features using LLM APIs, RAG, AI agents, tool calling, and workflow automation.
- Use AI-assisted development tools such as Claude Code, GitHub Copilot, or equivalent tools to improve engineering productivity.
- Manage cloud infrastructure, CI/CD pipelines, containers, and deployments using AWS, Azure, or GCP.
- Implement automated testing, secure coding practices, monitoring, and application performance optimization.
- Lead technical discussions, architecture reviews, and code reviews while mentoring junior engineers.
- Collaborate with clients and cross-functional teams to translate business requirements into technical solutions.
- Troubleshoot production issues, modernize legacy applications, and integrate third-party enterprise systems.
Required Skills and Qualifications :
- 8+ years of professional software engineering experience.
- At least 4 years of hands-on experience building and delivering full-stack applications.
- Strong knowledge of JavaScript/TypeScript and modern frontend frameworks such as React, Angular, or Vue.
- Backend development experience with at least one of the following : Node.js, Python, Java, or .NET.