Artificial Intelligence Engineer

AI Engineer (Full Stack + DevOps + AI Integration)

Experience Level:

About the Role

junior AI Engineer

Key Responsibilities

• AI-Assisted Development

• Use

  Clause Code, Codex, or other AI copilots

  while building applications.
• Implement

  RAG (Retrieval Augmented Generation) pipelines

  and work with

  MCP (Model Context Protocol)

  for AI integrations.
• Work with APIs of popular

  LLMs (OpenAI, Anthropic, etc.)

  to integrate AI features into applications.

• Full Stack Development

• Build and maintain

  web applications

  (frontend & backend).
• Work with

  databases, APIs, and cloud services

  to deliver end-to-end solutions.
• Contribute to creating responsive and AI-driven user experiences.

• DevOps & Infrastructure

• Support deployment using

  CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure)

  .
• Learn and contribute to

  infrastructure automation

  (Terraform, Pulumi).
• Assist in

  monitoring and scaling applications

  .

• Automation & Workflow Tools

• Work with

  n8n, Make.com, Zapier, or similar automation platforms

  .
• Build simple automation flows to integrate services and reduce manual tasks.

• Collaboration & Learning

• Work closely with senior engineers and product teams to deliver features.
• Document learnings, experiments, and best practices.
• Stay updated with emerging

  AI tools and frameworks

  .

Required Skills & Qualifications

• 1–2 years of experience in

  software development / full stack engineering

  .
• Basic working knowledge of

  DevOps practices

  (CI/CD, Docker, cloud deployments).
• Exposure to

  LLM-based development

  and tools such as Codex, Clause Code, or GitHub Copilot.
• Familiarity with

  RAG pipelines, MCP integrations

  , and

  vector databases

  (Pinecone, FAISS, Weaviate).
• Hands-on experience with at least one

  automation tool

  (n8n, Make.com, Zapier).
• Strong problem-solving skills and ability to work independently with

  AI assistance

  .

Nice to Have (Bonus)

• Exposure to

  LangChain, LlamaIndex, or other AI orchestration frameworks

  .
• Experience in

  deploying AI-powered applications

  in production.
• Contributions to

  AI/DevOps-related projects

  (personal or professional).

What We Offer

• Opportunity to

  work on real-world AI-first projects

  with mentorship.
• Hands-on exposure to

  cutting-edge AI tools and automation workflows

  .
• A growth-oriented environment with scope to advance into

  AI Architect / Lead Engineer roles

  .
• Competitive salary package with performance-based growth.

Fill the Below form as well for your resume to get screened:

https://forms.gle/xJvkHkAusJuYtBQi8