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Senior Artificial Intelligence Software Developer

2 weeks ago


Lucknow, Uttar Pradesh, India beBeeArtificial Full time ₹ 12,00,000 - ₹ 18,00,000
AI Engineer: Job Overview

This role is best suited for individuals with a Full Stack engineering background who want to leverage AI-assisted development and deliver end-to-end solutions.

Key Responsibilities:
  • Build and maintain web applications, including frontend and backend development.
  • Integrate AI features into applications using popular LLM APIs.
  • Work with databases, APIs, and cloud services to deliver scalable applications.
  • Support deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms.
  • Assist in monitoring and scaling applications.
Required Skills & Qualifications:
  • 1–2 years of experience in software development or 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 automation tools (n8n, Make.com, Zapier).

 

As a junior AI engineer, you will have the opportunity to work on cutting-edge projects and contribute to creating responsive and AI-driven user experiences. We are looking for candidates who are eager to grow in the space of AI-assisted development and can demonstrate hands-on experience with at least one automation tool.

Some of the key responsibilities include building and maintaining web applications, integrating AI features into applications, and supporting deployment using CI/CD pipelines. Additionally, we require familiarity with automation tools and exposure to LLM-based development and tools.

We value contributions to AI/DevOps-related projects, both personal and professional, as well as experience in deploying AI-powered applications in production.

Benefits:
  • Opportunity to work on cutting-edge projects.
  • Chance to contribute to creating responsive and AI-driven user experiences.
  • Professional growth opportunities.
Others:
  • Collaborate closely with senior engineers and product teams.
  • Document learnings, experiments, and best practices.