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AI Engineer (DevOps)

AI Engineer (DevOps)

Diverse Lynx

Austin, TX • On-site

$125K - $130K/yr

Other

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Job description

Greeting from Diverse Lynx
We have a job opening for mentioned below job description. If you are interested in this opportunity then please let me know.
Position: AI Engineer (DevOps)
Location: Austin, TX or Sunnyvale, CA
Rate: $125K -$130K Annual
Job Description:

  • Looking for AI engineer profile with DevOps experience.
  • LLM experience with drifting, inference, RAG, etc.
  • Excellent written and verbal communication.
  • Experience of leading office hours, solving user problems via slack channels, L1-L2 support, etc.
  • Enterprise AI landscape experience
  • Python/Java experience.
  • AWS, Kubernetes, Docker experience.
  • 8 + years of experience

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Devops Engineer?

A: To succeed as a DevOps Engineer, key technical skills include proficiency in automation tools such as Ansible, Puppet, or Chef, as well as experience with containerization using Docker and orchestration with Kubernetes. Additionally, strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, and scripting languages like Python or Bash, are essential. Soft skills like effective communication, problem-solving, and collaboration are also crucial, as DevOps Engineers must work closely with cross-functional teams to identify and resolve issues efficiently.

Q: What is the career path for a Devops Engineer?

A: A DevOps Engineer's typical career progression involves starting as a Junior DevOps Engineer, where they focus on implementing automation tools and processes, then advancing to a Mid-Level DevOps Engineer, where they lead teams and develop more complex infrastructure solutions. As they gain experience, they can move into Senior DevOps Engineer or Engineering Manager roles, overseeing large-scale deployments and mentoring junior engineers. Key opportunities for skill development include learning cloud computing, containerization, and security, as well as developing soft skills like communication and project management, which can lead to long-term career prospects in leadership, architecture, or specialized fields like cloud engineering or security consulting.

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