Hi,
We at Yash Technologies are looking for Senior AI Developer, if you are looking for new opportunity, please share your updated resume.
Requirement Details:
Client Name: YASH Internal
Location: Chicago, IL (Day 1 onsite)
Work Authorizations: Authorized to Work
Position Type: Full-Time
Job Title: Senior AI Developer
Primary Skills: AI, ML, Python, LLM
Description:
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
• 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.
