Sr. AI Developer

Senior AI Developer (Python) Gen AI

Position:
Full Time

Location:
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

• 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.