Generative AI - F2F Interview

Richardson, TX, US • Posted 19 hours ago • Updated 19 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Microsoft Azure
  • LLM
  • Prompt Engineering
  • Azure OpenAI
  • OpenAI
  • APIs
  • Lang Chain
  • Semantic Kernel
  • Generative AI LLM

Summary

Job Title: Generative AI
Location: Richardson, TX Duration: 6 Months
F2F Interview
< style="text-align: left;">Note: Independent candidates only
Must Have Skills:
  1. 4 to 7 years of experience in software, data, or cloud architecture roles
  2. Hands on experience with Generative AI LLM based solutions
  3. Familiarity with tools such as Azure OpenAI, OpenAI APIs, LangChain, Semantic Kernel, or similar frameworks
  4. Working knowledge of REST APIs, cloud services, and modern application architectures

Nice to have skills:
  1. Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms
  2. Support use cases such as document processing, summarization, Q&A, copilots, and workflow augmentation Define reference architectures for GenAI components (LLMs, vector stores, APIs,orchestration layers)

Job Description:
  • 7 years of experience in software, data, or cloud architecture roles
  • Hands on experience with Generative AI LLM based solutions
  • Familiarity with tools such as Azure OpenAI, OpenAI APIs, Lang Chain, Semantic Kernel, or similar frameworks
  • Working knowledge of REST APIs, cloud services, and modern application architectures
  • Experience collaborating with engineering and product teams
  • Strong communication skills with the ability to explain AI concepts to non technical stakeholders

Top 3 responsibilities
  1. Design and implement GenAI solution architectures using enterprise approved LLMs and cloud platforms Support use cases such as document processing, summarization, QA, copilots, and workflow augmentation
  2. Define reference architectures for GenAI components LLMs, vector stores, APIs, orchestration layers Collaborate with engineers to integrate GenAI services into existing applications and data platforms
  3. Assist with prompt engineering, evaluation, and optimization for reliability and performance Ens

Please share resumes to Dileep at humacinc dot com

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10202300
  • Position Id: 8919661
  • Posted 19 hours ago
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