AI ML ENGINEER - In-Person Interview - Need local to AZ area only

Phoenix, AZ, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
24 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • LangChain
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Python
  • Workflow
  • Google Cloud Platform
  • Orchestration

Summary

Hi All, We are immediately hiring for a AI ML Engineer role in Phoenix, AZ- HYBRID position
Please go through the JD shared below and share your updated resume along with your contact details ASAP.

Interview mode will Be F2F / In-Person

Important: No C2C/1099 through any vendor company to waste each other's time and efforts only local W2 candidates who can join us on W2 basis or through their own Corp., all others will be rejected immediately.

Gen AI Engineer

Location: Phoenix, AZ- HYBRID from day one

Interview Mode: In-Person interview is a must after a Virtual round

Job Description:

We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.

  • Implement short-term and long-term memory strategies for LLM-based systems.

  • Optimize prompts, retrieval pipelines, and orchestration logic.

  • Collaborate with product and platform teams to deliver scalable AI solutions.

  • Required Qualifications Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral). Hands-on experience with LangChain and/or LangGraph.

  • Solid understanding of LLM memory architectures and state management.

  • Proficiency in Python and ML engineering best practices.

Nice to Have

  • Experience with Google Cloud Platform services (e.g., Vertex AI, BigQuery, GCS).

  • Experience deploying ML/GenAI systems in production environments.

Thanks & Regards

Prabhash Kumar

SYSTEM EDGE USA LLC

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: 10106959
  • Position Id: 8971111
  • Posted 9 hours ago
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