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Senior AI Engineer

Role overview

Qualifications

  • 5–8 years of experience in AI/ML engineering or related roles
  • Strong hands-on experience with Agentic AI, RAG, IR, and LLM-based systems
  • Proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with cloud platforms, preferably AWS and GCP

Responsibilities

  • Design, develop, and deploy Agentic AI systems and Generative AI solutions
  • Build and implement RAG and Information Retrieval pipelines for real-world use cases
  • Develop and integrate Large Language Models into production systems
  • Perform model evaluation, experimentation, and continuous improvement

About the company

Cynosure Corporate Solutions logo

Cynosure Corporate Solutions

Human Resources Services

Company details

IndustryHuman Resources Services

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Job description

This is a remote position.

We are seeking an experienced Senior AI Engineer to design, develop, and deploy intelligent systems with a strong focus on Agentic AI, Retrieval-Augmented Generation (RAG), and large-scale Generative AI architectures. The role involves building production-ready AI solutions, optimizing model performance, and collaborating with cross-functional teams to deliver scalable, high-impact AI systems.

Key Responsibilities:
  • Design, develop, and deploy Agentic AI systems and Generative AI solutions
  • Build and implement RAG and Information Retrieval pipelines for real-world use cases
  • Develop and integrate Large Language Models into production systems
  • Perform model evaluation, experimentation, and continuous improvement
  • Optimize model performance, scalability, and inference efficiency
  • Develop AI solutions using Python and modern ML/AI frameworks
  • Work with cloud platforms to deploy and manage AI workloads
  • Collaborate with engineering and product teams to translate requirements into AI-driven solutions
  • Apply prompt engineering techniques to improve LLM outputs
  • Maintain documentation and best practices for AI model development and deployment



Requirements

  • 5–8 years of experience in AI/ML engineering or related roles
  • Strong hands-on experience with Agentic AI, RAG, IR, and LLM-based systems
  • Proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Experience with cloud platforms, preferably AWS and GCP
  • Strong understanding of model development, evaluation, and optimization
  • Ability to work independently and deliver under tight timelines
  • Immediate to 20 days notice period preferred
  • Candidates from JNTU Hyderabad to be avoided as per hiring guidelines


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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