Description

We are seeking a highly skilled and motivated AI/ML Engineer with a strong foundation in programming and data engineering. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models while ensuring seamless data integration and pipeline optimization. The role requires a blend of hands-on machine learning expertise and software engineering proficiency to drive intelligent insights and business solutions.

Job Responsibilities

  • Building complex multi-agent AI agents that are highly scalable 
  • Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems. 
  • Engineer and refine prompts to enhance AI performance and output quality. 
  • Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures. 
  • Ensure AI applications align with ethical standards, data privacy, and real-world scalability. 
  • Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face. 


Desired Skills, Expertise and Knowledge

  • Work with current state of the art LLMs and embedding models. 
  • Experience building agentic AI systems. 
  • Experience with debugging traces of LLM calls to identify errors/optimizations. 
  • Experience with building Retrieval-Augmented Generation (RAG) systems. 
  • Engineer and refine prompts to enhance AI performance and output quality. 
  • Knowledge of extracting structured outputs from LLMs. 
  • Experience using LLM APIs, embedding models, and RAG-based AI
    architectures. 
  • Strong skills in Python, AI model deployment, and AWS services (Lambda
    preferred). 
  • Knowledge of LangChain, Pydantic, and scalable AI workflows.
  • Proficiency in prompt engineering and optimization techniques.
  • Some UI/UX experience is a plus.

 

Preferred

  • Experience in NLP, computer vision, or multimodal AI.
  • Proven track record of deploying AI solutions at scale.
  • Research background in generative AI models. 

Benefits

  • Attractive Salary for deserving candidates
  • Medical Coverage
  • Yearly Salary Review
  • Weekly two holidays
  • Provident fund
  • Gratuity fund
  • Two festival bonus
  • Monthly Performance Bonus
  • WPPF.

Life at Brain Station 23