Advanced AI System Developer

2 weeks ago

Amrāvati, Maharashtra, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Advanced AI System Developer

We are seeking an experienced and skilled individual to design, implement, and integrate cutting-edge AI systems on leading cloud platforms.

  • Designing and developing advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications.
  • Architecting, developing, and deploying autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention.
  • Mastery of prompt engineering techniques to optimize the behavior and output of LLMs and designing sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows.
  • Leveraging expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines.

The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives.

Responsibilities

Key Responsibilities: The successful candidate will be responsible for designing, implementing, and integrating cutting-edge AI systems on leading cloud platforms. Key responsibilities include:

  • Designing and developing advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models)
  • Architecting, developing, and deploying autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention
  • Mastering prompt engineering techniques to optimize the behavior and output of LLMs and designing sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows
  • Leveraging expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines
Requirements

Required Skills & Qualifications: To be considered for this role, you should have:

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field
  • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects
  • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications
  • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph
  • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras
  • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior
  • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform
Preferred Skills

Preferred Skills (Nice to Have): We also welcome applicants with experience in the following areas:

  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs
  • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django
  • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS
  • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex)
  • Knowledge of reinforcement learning and multi-agent reinforcement learning
  • Contributions to open-source AI projects or relevant publications
  • Experience with data orchestration tools (e.g., Apache Airflow)

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