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.