YASH Technologies
Artificial Intelligence Engineer (Chicago)
YASH Technologies, Chicago, Illinois, United States, 60290
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.
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.