Intelligent Systems Developer

1 day ago

Coimbatore, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Artificial Intelligence Engineer Position

We are seeking a skilled Artificial Intelligence Engineer to join our team. The successful candidate will have expertise in AI Agent Development and LLM Integration.

Main Responsibilities:

  1. Build AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
  2. Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA).
  3. Develop modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure

  1. Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.
  2. Implement APIs, WebSockets, and event-driven architectures for real-time AI services.
  3. Collaborate with platform teams to ensure scalable and secure deployments.

Development & Automation

  1. Work with CI/CD pipelines using Jenkins to automate testing and deployment.
  2. Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.
  3. Maintain high code quality and documentation standards using Git, Jira, and Confluence.

Requirements

  1. 3–5 years of experience working Machine Learning / Artificial Intelligence or related fields.
  2. 1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.
  3. Strong proficiency in Python and modern development practices.
  4. Hands-on experience with LLMs and prompt engineering.
  5. Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.
  6. Familiarity with Databricks and cloud-native deployment strategies.
  7. Understanding of REST APIs, WebSockets, and event-driven systems.
  8. Familiarity with SDLC best practices and agile methodologies.
  9. Proficiency with using CI/CD tools (Jenkins) and version control (Git).
  10. Comfortable using AI-augmented development tools for rapid prototyping.

Bonus Requirements

  1. Exposure to MLOps/LLMOps workflows and model monitoring.
  2. Knowledge of enterprise security, compliance, and governance in AI systems.
  3. Exposure to best practices for code and model lifecycle management.

About Us

We believe in the importance of collaboration, continuous learning, and innovation. Our team is passionate about leveraging AI to drive business growth and improve lives.

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