Full Stack Engineer

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.
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.
Good 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.

Work arrangement
Yes