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Artificial Intelligence Engineer (Chicago)
Artificial Intelligence Engineer (Chicago)YASH Technologies • Chicago, IL, US
Artificial Intelligence Engineer (Chicago)

Artificial Intelligence Engineer (Chicago)

YASH Technologies • Chicago, IL, US
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  • [job_card.full_time]
  • [job_card.part_time]
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We are actively looking for a Senior AI Developer. If you are actively looking for a new job please share your profile.

Role : Senior AI Developer

Duration : Full Time

Location : Onisite In Illinois

Primary Skills : AI, ML, Python, LLM

Exp : 10+ Years Exp Required

This is day 1 onsite in Moline, IL

Job Summary

We are seeking a highly skilled and innovative Senior AI Developer to lead the design and development of intelligent backend systems that power cutting-edge AI applications. This role focuses on building scalable, context-aware, and personalized AI solutions using modern frameworks and protocols for LLM orchestration, search, and retrieval.

Key Responsibilities

  • Implement backend systems using Python for AI-driven automation and logic.
  • Develop and maintain LLM-powered applications using LangChain , LangGraph , and Model Context Protocol (MCP) .
  • Integrate Response APIs and A2A Protocols to enable dynamic and standardized agent communication.
  • Implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM responses with external document grounding.
  • Design and optimize spec comparison logic , user feedback analysis , and personalization models using NLP and ML techniques.
  • Build robust search and retrieval systems using KNN , hybrid search , and reranker models for semantic relevance.
  • Ensure observability and debugging through OpenSearch Dashboards and Datadog .

Required Skills & Qualifications

  • 8+ years of experience in backend development with a strong focus on AI / ML systems.
  • Proficiency in Python and experience with LangChain , LangGraph , and LLM orchestration.
  • Deep understanding of LLMs , RAG , vector search , and semantic retrieval .
  • Experience with NLP , classification models , and sentiment analysis .
  • Familiarity with OpenSearch , Datadog , and observability tools.
  • Strong grasp of agent communication protocols and context-aware model design .
  • Ability to work in agile environments and lead technical discussions.
  • Preferred Qualifications

  • Bachelors degree in computer science, AI, Machine Learning, or related field.
  • Experience with personalization engines and dealer-specific adaptation.
  • Contributions to open-source AI frameworks or research publications.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.

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