YASH Technologies
HR Shared Services @ YASH Technologies with expertise in HR Management
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
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 standardised agent communication.
Implement
Retrieval‑Augmented Generation (RAG)
pipelines to enhance LLM responses with external document grounding.
Design and optimise
spec comparison logic ,
user feedback analysis , and
personalisation 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 personalisation 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
#J-18808-Ljbffr
Role: Senior AI Developer
Duration: Full Time
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 standardised agent communication.
Implement
Retrieval‑Augmented Generation (RAG)
pipelines to enhance LLM responses with external document grounding.
Design and optimise
spec comparison logic ,
user feedback analysis , and
personalisation 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 personalisation 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
#J-18808-Ljbffr