AI Native Full Stack Software Engineer
Cocolevio India LLP
AI Native Full Stack Software Engineer Experience: 2–5 Years Employment Type: Full-Time Location: Noida / Remote Department: Information Technology About the Role We are looking for a Full Stack Software Engineer specializing in Artificial Intelligence to build scalable, production-ready web applications and AI-powered solutions. The ideal candidate is a hands-on developer who uses AI coding agents and modern AI-assisted development workflows to accelerate software delivery. Key Responsibilities
- Design, develop, test, and deploy full-stack web applications and AI-powered products.
- Build responsive frontends using React / Next.js / Angular and robust backends using Python / FastAPI / Node.js.
- Develop AI applications using LLMs, RAG, AI Agents, prompt engineering, embeddings, vector databases, and APIs.
- Integrate AI models and platforms such as OpenAI, Claude, Gemini and other LLM providers.
- Use AI coding agents such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot and similar tools for coding, debugging, testing, refactoring, and documentation.
- Design and implement agentic AI workflows and automation using frameworks such as LangChain, LangGraph, CrewAI, or equivalent.
- Work with databases such as PostgreSQL, MySQL, MongoDB, Redis, and vector databases.
- Develop secure REST APIs and integrate third-party services and enterprise systems.
- Write clean, maintainable, well-tested code with appropriate unit and integration testing.
- Use Git, CI/CD, Docker, Kubernetes and cloud platforms for deployment and DevOps.
- Troubleshoot production issues, optimize application performance, and continuously improve system architecture.
- Collaborate with Product Managers, AI/ML Engineers, UI/UX Designers, and other engineering teams.
- Strong JavaScript/TypeScript and Python skills.
- Experience with React / Next.js / Angular.
- Experience with FastAPI / Flask / Node.js.
- Strong knowledge of REST APIs, microservices, authentication, and distributed systems.
- Good understanding of SQL and NoSQL databases.
- Practical experience building applications using LLMs and Generative AI.
- Knowledge of RAG, embeddings, vector databases, prompt engineering, function/tool calling, and AI agents.
- Experience with OpenAI, Claude, Gemini, or similar AI APIs.
- Familiarity with LangChain, LangGraph, CrewAI, LlamaIndex, or similar frameworks.
- Hands-on expertise with AI coding agents such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or equivalent.
- Ability to use AI agents for requirements analysis, architecture, coding, debugging, testing, code review, refactoring, and documentation.
- Understanding of effective AI-assisted software engineering and agentic coding workflows.
- Ability to review, validate, secure, and improve AI-generated code rather than blindly accepting it.
- Working knowledge of AWS, Azure, or Google Cloud.
- Docker and CI/CD experience.
- Familiarity with Git/GitHub/GitLab/Bitbucket.
- Basic understanding of Kubernetes and cloud-native architectures is desirable.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 2–5 years of professional software development experience.
- Strong problem-solving and analytical skills.
- Passion for AI, Generative AI, automation, and emerging developer technologies.
- Ability to work independently in a fast-paced, AI-first engineering environment.
- Experience building production-grade GenAI/Agentic AI applications.
- Experience with multimodal AI, AI evaluation, guardrails, or AI security.
- Open-source contributions or strong GitHub portfolio.
- Experience working in Agile/Scrum teams.
- Startup/product-company experience is a plus.
Vacancy posted 5 hours ago
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