Full Stack Engineer

Role: Senior Full Stack Engineer

Location: Remote

Employment Type: Full-Time

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.