Generative AI Applications Engineer (LLM/Python)

Insight Global

Dearborn (MI)

On-site

USD 61,000 - 102,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
HSA/FSA/DCFSA options
401k with employer matching
Paid time off

Job summary

Insight Global is seeking an AI Application Developer to contribute to planning, design, and production-ready AI-enabled applications. You will deliver Generative AI capabilities, support the software lifecycle, and collaborate across teams to meet business needs.

Strong Python skills and LangChain experience are essential, along with cloud ML services (GCP/AWS) and CI/CD discipline. The role emphasizes translating user requirements into technical deliverables within an Agile environment, with a

Qualifications

  • Production delivery of Generative AI / LLM solutions.
  • Experience with LLMs, RAG, OCR, and Responsible AI concepts.
  • Strong Python development experience.
  • Experience with LLM application frameworks such as LangChain or equivalent.
  • Experience with cloud ML platforms and services, including GCP and/or AWS.
  • Experience supporting CI/CD model and data pipelines.
  • Experience with Agile methodologies including Scrum and Kanban.
  • Experience with Gen AI frameworks and services such as OpenAI and Vertex AI.
  • Experience developing and enhancing applications that integrate with LLMs and Generative AI services.

Skills

Python development
LLMs / Generative AI
LangChain
RAG ( Retrieval-Augmented Generation )
OCR
CI/CD pipelines
Agile (Scrum & Kanban)
OpenAI / Vertex AI
Django
Cloud platforms (GCP / AWS)

Tools

LangChain
OpenAI
Vertex AI
GCP
AWS
Django

Job description

Insight Global is seeking an AI Application Developer to contribute to planning, design, and production-ready AI-enabled applications. You will deliver Generative AI capabilities, support the software lifecycle, and collaborate across teams to meet business needs.

Strong Python skills and LangChain experience are essential, along with cloud ML services (GCP/AWS) and CI/CD discipline. The role emphasizes translating user requirements into technical deliverables within an Agile environment, with a

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