Senior Software Engineer

Shopdev is seeking a highly skilled Senior Full-Stack Engineer with deep expertise in AI-native development to rapidly design, build, and deliver high-quality software products. The ideal candidate embraces agentic coding tools such as Claude Code and OpenAI Codex as an integral part of their workflow, enabling them to transform product ideas into fully functional applications much faster than traditional methods. This role demands more than just using AI for autocomplete; it requires orchestrating AI agents to break down complex problems, evaluate generated code critically, and accelerate the entire software development lifecycle without compromising quality.

Key Responsibilities

- Utilize agentic coding harnesses like Claude Code or OpenAI Codex daily to develop software efficiently.
- Translate product requirements into prototypes, functional applications, and production-ready features quickly.
- Independently build and deploy end-to-end solutions covering frontend, backend, databases, integrations, and infrastructure.
- Orchestrate AI agents for coding tasks including implementation, refactoring, debugging, testing, and documentation.
- Break down complex problems into workflows executable by AI agents, providing clear context, constraints, and acceptance criteria.
- Leverage parallel agents, reusable instructions, and automated workflows to enhance development speed.
- Experiment with emerging agentic techniques and integrate effective practices into team processes.
- Design scalable, secure, and maintainable full-stack applications with sound architectural decisions.
- Critically evaluate AI-generated code for architectural soundness, security, performance, and complexity.
- Maintain high standards for testing, code quality, observability, and production reliability.
- Own the full development lifecycle from concept through deployment and iteration.
- Collaborate closely with product and design teams to convert business requirements into working software.
- Present prototypes early, gather feedback, and iterate rapidly.
- Communicate technical decisions, trade-offs, and progress clearly in English.
- Share agentic workflows to boost overall engineering team productivity.

Required Qualifications

- Proven hands-on experience with agentic coding tools such as Claude Code, OpenAI Codex, or similar autonomous coding harnesses.
- Demonstrated ability to build real-world applications using AI agents beyond simple code snippets or autocomplete.
- Skilled in structuring prompts, providing repository context, configuring agent instructions, and managing complex multi-step tasks.
- Experience in agentic feature development, debugging, automated testing, refactoring, and codebase exploration.
- Ability to critically validate, review, and improve AI-generated code rather than accepting it at face value.
- Familiarity with tool permissions, multi-agent workflows, reusable skills, and MCP integrations.
- Strong professional background in full-stack engineering.
- Proficiency with modern frontend frameworks such as React.js or Next.js.
- Backend development experience with Node.js, Python, or comparable technologies.
- Solid understanding of system design, software architecture, APIs, databases (SQL/NoSQL), and distributed systems.
- Experience with cloud infrastructure, Docker, CI/CD pipelines, and production deployments.
- Excellent debugging, problem-solving, and technical decision-making skills.
- Strong written and verbal communication skills in English.

Preferred Qualifications and Additional Insights

- A portfolio showcasing applications primarily developed through agentic coding workflows.
- Proven track record of delivering MVPs from concept to deployment within days.
- Experience orchestrating multiple AI agents across different project components.
- Familiarity with creating reusable agent instructions, custom skills, MCP integrations, or automated pipelines.
- Strong product intuition and pragmatic decision-making focused on delivery.
- Active experimentation with emerging AI coding tools, models, and methodologies.
- History of independently shipping complete products rather than only assigned tasks.

Candidates will be evaluated primarily on practical demonstrations rather than just claimed experience. The selection process includes a time-constrained exercise where candidates will build a functional full-stack product or feature using agentic coding tools. This exercise will assess task planning, context management, agent orchestration, implementation across frontend/backend/database/API, architectural reasoning, debugging, testing, and deployment skills. Evaluation criteria focus on execution speed, product quality, engineering judgment, and effective AI agent utilization.

Shopdev prioritizes exceptional agentic coding proficiency, rapid product development capabilities, strong engineering fundamentals, end-to-end ownership, and a collaborative product mindset. We seek engineers who do not merely use AI to write code faster but fundamentally transform how software is built through AI agents.