What are the responsibilities and job description for the Sr. AI Developer position at SysTechCorp Inc?
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.