YASH Technologies
We at Yash Technologies are looking for a
Senior AI Developer
to lead the design and development of intelligent backend systems that power cutting‑edge AI applications. The role is based in Chicago, IL (day‑1 onsite) and is a full‑time, full‑time position. We are the client (YASH Internal) and require authorized work status.
Job Summary We are seeking a highly skilled and innovative
Senior AI Developer
to build 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
Bachelor’s 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.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at YASH Technologies by 2x.
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Senior AI Developer
to lead the design and development of intelligent backend systems that power cutting‑edge AI applications. The role is based in Chicago, IL (day‑1 onsite) and is a full‑time, full‑time position. We are the client (YASH Internal) and require authorized work status.
Job Summary We are seeking a highly skilled and innovative
Senior AI Developer
to build 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
Bachelor’s 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.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at YASH Technologies by 2x.
#J-18808-Ljbffr