Senior Intelligent Systems Developer

6 days ago

Bharatpur, Rajasthan, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Expert Artificial Intelligence Engineer Wanted

Key Responsibilities:

  • Design and develop advanced AI solutions using industry-standard frameworks.
  • Optimize prompt engineering workflows for Large Language Models (LLMs) like GPT, Claude, and LLaMA.
  • Develop modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure:

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

Development & Automation:

  • Work with Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins to automate testing and deployment.
  • Use cutting-edge tools like GitHub Copilot, Windsurf, Codeium, or similar technologies to accelerate development.
  • Maintain high code quality and documentation standards using Git, Jira, and Confluence.

Requirements:

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

Preferred Skills:

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

Soft Skills & Mindset:

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Self-starter with a growth mindset and curiosity for emerging AI trends.
  • Ability to work in cross-functional teams and adapt to evolving priorities.

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