Data-Driven AI Software Specialist

4 days ago

Guntur, Andhra Pradesh, India beBeeSoftware Full time ₹ 1,20,00,000 - ₹ 1,60,00,000
Artificial Intelligence Software Engineer

We are seeking a skilled Junior AI Software Engineer to join our team. The ideal candidate will have 1–2 years of experience in software development and a strong background in Full Stack engineering.

The successful candidate should possess a basic understanding of DevOps practices, including CI/CD pipelines, Docker, and cloud deployments. Additionally, they should have hands-on experience with LLM-based applications, such as Codex and Clause Code, and be familiar with automation tools like N8N, Make.Com, or Zapier.

We are looking for someone who can work independently with AI assistance and has strong problem-solving skills. The ideal candidate should also be able to contribute to creating responsive and AI-driven user experiences.

Key Responsibilities:

  • 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.
    • 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).

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