Senior RAG & AI Solutions Engineer (Data Science & MCP)

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

CloudSeals is a leading provider of mission-critical cloud and AI solutions, specializing in transforming cloud environments to optimize costs, automate operations, and enhance scalability with secure and innovative solutions. Our expertise includes cloud cost optimization, AI-driven automation, secure infrastructure management, and delivering ethical and transparent AI solutions. CloudSeals is committed to precision execution, cutting through complexity, and delivering measurable results that drive digital growth. Join us in redefining excellence in cloud and AI innovation.

Role Description

We are seeking a full-time, on-site Senior RAG & AI Solutions Engineer (Data Science & MCP) to join our team in Hyderabad. In this role, you will work on designing and implementing AI-based solutions, optimizing cloud infrastructure, and integrating advanced technologies to enhance system performance. Responsibilities include collaborating with cross-functional teams to develop custom software, providing consulting services to clients, and ensuring seamless integration of technologies. The role also involves contributing to presales efforts and supporting the sales team with technical expertise.

Qualifications

  • Strong skills in Software Development and Integration to design and implement scalable and innovative solutions.
  • Experience in Consulting and providing technical guidance to clients for cloud and AI transformation projects.
  • Proficiency in Sales and Presales to support business development and technical proposals.
  • In-depth knowledge of data science, AI, and machine learning platforms with the ability to create and deploy AI-driven workflows.
  • Exceptional analytical, problem-solving, and communication skills.
  • Proficiency in DevSecOps practices and a commitment to delivering secure and ethical AI solutions.
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience working in an innovative and fast-paced environment is a plus.

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