AI Software Developer

3 days ago

Belgaum, Karnataka, India beBeeArtificial Full time ₹ 6,00,000 - ₹ 14,00,000

As a junior Full Stack AI Engineer, you will have the opportunity to grow in the space of AI-assisted development. You should have a strong engineering background with exposure to DevOps, practical experience with LLM-based applications, and familiarity with automation tools.

The ideal candidate is eager to learn and experiment with AI tools like Codex/Clause Code in their development work and wants to build scalable AI-powered applications.

  • AI-Assisted Development:
  • Implement RAG (Retrieval Augmented Generation) pipelines and work with MCP (Model Context Protocol) for AI integrations.
  • Use Clause Code, Codex, or other AI copilots while building applications.
  • Full Stack Development:
  • Build and maintain web applications (frontend & backend).
  • Work with databases, APIs, and cloud services to deliver end-to-end solutions.
  • DevOps & Infrastructure:
  • Support deployment using CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure).
  • 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).
Benefits
  • 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.
Others
  • Strong problem-solving skills and ability to work independently with AI assistance.
  • Opportunities for professional growth and development.

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