Senior AI Developer

1 week ago

Pushkar, Rajasthan, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 30,00,000

Job Description:

  • We are seeking a skilled AI/ML Developer to join our team and drive the development of cutting-edge AI agents using frameworks like LangGraph, Autogen, Crew, or PydanticAI.
  • The ideal candidate will have hands-on experience with Large Language Models (LLMs) and prompt engineering, with a strong proficiency in Python and modern development practices.

About the Role:

  • You will work on designing and implementing prompt engineering workflows for LLMs like GPT, Claude, LLaMA.
  • This role involves creating modular, reusable components for agent orchestration and task automation.
  • You will collaborate with platform teams to ensure scalable and secure deployments.

Key Responsibilities:

  • Develop and optimize AI agents using frameworks such as LangGraph, Autogen, Crew, or PydanticAI.
  • Design and implement prompt engineering workflows for LLMs like GPT, Claude, LLaMA.
  • Create modular, reusable components for agent orchestration and task automation.
  • Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.
  • Implement APIs, WebSockets, and event-driven architectures for real-time AI services.

Required Skills & Qualifications:

  • 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.
  • Familiarity with SDLC best practices and agile methodologies.
  • 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.
  • 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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