Innovative AI Solutions Expert

1 week ago

Kurnool, Andhra Pradesh, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 25,00,000

About Our AI Engineering Opportunity

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  • We are seeking an accomplished junior Artificial Intelligence Engineer to join our innovative team.">
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Main Responsibilities:

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  • AI-Assisted Development">
  • Utilize cutting-edge tools such as Codex, Clause Code, and GitHub Copilot to build intelligent applications.">
  • Implement RAG pipelines and work with MCP integrations for seamless AI integrations.">
  • Collaborate with popular LLM APIs to integrate AI features into applications.">
  • Full Stack Development">
  • Design 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.">
  • 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.">
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Required Skills & Qualifications

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  • 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.">
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Nice to Have (Bonus)

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  • 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).">
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What We Offer

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  • 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.">

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