Advanced Artificial Intelligence Specialist

2 days ago

Chennai, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 25,00,000

Job Summary:

We are seeking a highly skilled Advanced Artificial Intelligence Specialist to join our team. The ideal candidate will have expertise in building and deploying cutting-edge artificial intelligence models, with a strong focus on developing innovative solutions.

Key Responsibilities:

  • Design and develop AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
  • Orientate prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA) to improve model performance.
  • Develop modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure:

The successful candidate will deploy models using Databricks and Azure ML, integrating with enterprise-grade systems. They will also implement APIs, WebSockets, and event-driven architectures for real-time AI services, collaborating with platform teams to ensure scalable and secure deployments.

Development & Automation:

The Advanced Artificial Intelligence Specialist will work with CI/CD pipelines using Jenkins to automate testing and deployment. They will use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development, maintaining high code quality and documentation standards using Git, Jira, and Confluence.

Requirements:

  • 3–5 years of experience working Machine Learning / Artificial Intelligence or related fields.
  • 1+ years of experience building Generative AI Applications for enterprise, 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.

Nice-to-Have 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.

This is an exciting opportunity to leverage your technical expertise and contribute to the development of innovative AI solutions.

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