Sr. Python AI Developer

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

The ideal Developers will be experienced in building and deploying intelligent agents using Google Vertex AI particularly with Gemini and OpenAI models. The client is large enterprise company in the insurance sector and these roles will join their first dedicated AI/ML team charged with designing and laying a proper AI/ML foundation for the future. Candidates must have experience advising on best practices for AI/ML as well as designing/developing models agents frameworks etc. within a greenfield. As a result this position requires deep knowledge of large language models (LLMs) and hands-on experience in evaluating model performance using structured testing methodologies.

Key Responsibilities

Design develop and deploy intelligent agents and LLM-driven applications using Google Vertex AI Gemini and/or OpenAI models
Implement structured testing and evaluation frameworks for LLM performance and reliability
Apply best practices in prompt engineering context filtering and security-aware prompting
Collaborate with AI architects and data engineers to integrate intelligent agents with enterprise systems and data pipelines
Utilize modern agent frameworks and observability tools for monitoring and improving AI model behavior
Leverage Google Agent Development Kit LangChain LangGraph LangSmith and LangFuse to support scalable and maintainable agent design
Document architectural patterns testing protocols and AI lifecycle management practices
Support continuous improvement initiatives and model optimization across business use cases

Required Skills & Experience

Bachelors or Masters degree in Computer Science Data Science or a related field
7 years of experience in Python development with a strong focus on AI/ML applications
Prior experience with Google Cloud Platform (GCP) environments
Background in machine learning operations (MLOps) and AI system scalability
Proven hands-on experience with Google Vertex AI Gemini and OpenAI model integrations
Deep understanding of LLM-based architectures prompt engineering and AI agent development
Strong experience using LangChain LangGraph LangSmith and LangFuse frameworks
Familiarity with observability logging and security practices for AI applications
Excellent communication and collaboration skills to work effectively with cross-functional technical teams

Preferred Experience

Exposure to vector databases retrieval-augmented generation (RAG) or semantic search

Key Responsibilities

Design develop and deploy intelligent agents and LLM-driven applications using Google Vertex AI Gemini and/or OpenAI models
Implement structured testing and evaluation frameworks for LLM performance and reliability
Apply best practices in prompt engineering context filtering and security-aware prompting
Collaborate with AI architects and data engineers to integrate intelligent agents with enterprise systems and data pipelines
Utilize modern agent frameworks and observability tools for monitoring and improving AI model behavior
Leverage Google Agent Development Kit LangChain LangGraph LangSmith and LangFuse to support scalable and maintainable agent design
Document architectural patterns testing protocols and AI lifecycle management practices
Support continuous improvement initiatives and model optimization across business use cases

Required Skills & Experience

Bachelors or Masters degree in Computer Science Data Science or a related field
7 years of experience in Python development with a strong focus on AI/ML applications
Prior experience with Google Cloud Platform (GCP) environments
Background in machine learning operations (MLOps) and AI system scalability
Proven hands-on experience with Google Vertex AI Gemini and OpenAI model integrations
Deep understanding of LLM-based architectures prompt engineering and AI agent development
Strong experience using LangChain LangGraph LangSmith and LangFuse frameworks
Familiarity with observability logging and security practices for AI applications
Excellent communication and collaboration skills to work effectively with cross-functional technical teams

Preferred Experience