Senior Artificial Intelligence Engineer for Next Generation AI Systems

1 week ago

Thāne, Maharashtra, India beBeeArtificial Full time ₹ 25,00,000 - ₹ 35,00,000
AI Agent Developer & LLM Integration Specialist

Design, develop, and optimize AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.

Prompts Engineering for LLMs:

Develop prompt engineering workflows for Large Language Models (LLMs) such as GPT, Claude, and LLaMA.

Agent Orchestration & Task Automation:

Create modular, reusable components for agent orchestration and task automation.

Model Deployment & Infrastructure:

Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.

Real-Time AI Services:

Implement APIs, WebSockets, and event-driven architectures for real-time AI services.

Development & Automation:

Work with CI/CD pipelines using Jenkins to automate testing and deployment.

Maintain high code quality and documentation standards using Git, Jira, and Confluence.

Requirements:

  • 3–5 years of experience working in 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.
  • Proficiency with using CI/CD tools (Jenkins) and version control (Git).

Nice-to-Have Skills:

  • Exposure to MLOps/LLMOps workflows and model monitoring.
  • Knowledge of enterprise security, compliance, and governance in AI systems.

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.

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