SRE ENGINEER and Gen AI Developer || CALIFORNIA, SUNNYVALE or TEXAS, AUSTIN – Onsite ||

Greetings from ALIS Software LLC    
Hope you are doing great.  
This is Swetha from ALIS Software LLC     
Let me know your interest by replying to this email with an Updated resume and a convenient Time/Number to discuss further.    
You can reach me at +1 15127226281 (or) Email at [email protected]    
 JOB DESCRIPTION
 
POSITION: SRE ENGINEER
DURATION: Long term
Location: CALIFORNIA, SUNNYVALE – TEXAS, AUSTIN – Onsite

Roles & Responsibilities
  • Expert-level experience in Kubernetes administration, including building Kubernetes clusters from scratch on both on-premises and cloud environments.
  • In-depth understanding of all Kubernetes components with strong troubleshooting skills.
  • Solid knowledge of distributed systems, networking, and Linux.
  • Hands-on experience with containerization technologies such as Docker.
  • Proficiency in CI/CD pipelines and automation tools like Ansible.
  • Strong problem-solving abilities and the capability to work independently, taking ownership of projects from start to finish.
  • Excellent communication skills, with the ability to effectively collaborate across teams.

 JOB DESCRIPTION

 
POSITION: GEN AI DEVELOPER
DURATION: Long term
Location: PENNSYLVANIA, ALLENTOWN – Remote – Occasional Visits

Job Description
Roles & Responsibilities
  • Experienced Azure GenAI developer with hands-on experience developing GenAI solutions in Azure AI Studio (now Azure AI Foundry)
  • Comfortable with working in Azure AI Foundry environment and ecosystem (Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Services, etc) 
  • Experience with Python development and production development practices
  • Experience with Prompt Flow
  • Experience with implementing automated evaluation tests in AI Foundry
  • Experience with implementing data ingestion pipeline with different indexing approaches using Azure AI Search
  • Experience with different LLM models and can make recommendations based on experience as to which LLM Models to evaluate based on use case requirements. 
  • Knowledge and experience working in LLMOps/GenAIOps lifecycle
  • Experience with implementing RAG based solutions. 
  • LLM fine-tuning experience is a plus but not necessary at this time.
  • Must possess knowledge, experience and have a strong comfort level with implementing distributed solution architectures in Azure cloud environment and be inherently familiar with REST API’s 
 

Thanks & Regards 

 

Swetha Reddy

Lead Technical Recruiter 

ALIS Software LLC 

Email: [email protected]  

Phone: 15127226281 Ex: 101

 

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