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AI Native Full Stack Software Engineer

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AI Native Full Stack Software Engineer

Cocolevio India LLP

AI Native Full Stack Software Engineer

Skills

Google Cloud PlatformSQL QueriesMongoDBNextDockerReactNodeTypescriptFlaskPythonMicroservicesPostgreSQLMySQLRedisGitLabBitbucketMachine LearningAIAWSGitHubKubernetesFastAPIJavascriptAzure

8 days ago

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Important information


Contract type:

Permanent, Temporary

Location:

Uttar Pradesh, India

Work mode:

Remote

Published on:

12 October 2026

What they need


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.

Required Skills

Full Stack Development

  • 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.

Artificial Intelligence

  • 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.

AI-Assisted Development

  • 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.

Cloud DevOps

  • 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.

Qualifications

  • 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.

Preferred

  • 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.

What We Are Looking For

A strong software engineer who can build end-to-end products and knows how to leverage AI coding agents to become significantly more productive—without compromising code quality, security, or engineering standards.

Qualifications

NA

Additional Information

NA

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