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Senior AI ML Engineer

  • Job type Posted on: Jul 22, 2026
  • Experience level JConnect Infotech
  • Employment type Atlanta, Georgia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior AI ML Engineer

Job Type :

Full-time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Senior AI ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis, IN / Iselin, NJ / downtown Chicago, IL / Chicago, IL / Wallingford, CT Duration: Fulltime Job Description: • Strong Python expertise with experience building and deploying production-grade backend systems • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration • Proven experience with RAG architectures, embeddings, and vector databases • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) • Strong system design skills with experience building and scaling cloud-based applications Responsibilities: • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python • Design and implement RAG pipelines over enterprise data using embeddings and vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain • Integrate AI systems with APIs, backend services, and cloud platforms • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

14660_76C8465AF8965E590D40E52B55FFF584

Employment:

Full-time

Salary:

Not Available

City:

Atlanta

Job Origin:

APPCAST_CPC

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Senior AI ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis, IN / Iselin, NJ / downtown Chicago, IL / Chicago, IL / Wallingford, CT Duration: Fulltime Job Description: • Strong Python expertise with experience building and deploying production-grade backend systems • Hands-on experience developing applications using LLMs, including prompt engineering and orchestration • Proven experience with RAG architectures, embeddings, and vector databases • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) • Strong system design skills with experience building and scaling cloud-based applications Responsibilities: • Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python • Design and implement RAG pipelines over enterprise data using embeddings and vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain • Integrate AI systems with APIs, backend services, and cloud platforms • Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

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