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Sr. Python/GenAI Engineer
Mitchell Martin, Inc.United States🇺🇸United StatesPosted 4 Aug 2026
Quick Overview
Salary
$160k - $185k/yr
Work Type
Hybrid
Level
Mid Senior
Job Description
Title: Sr. Python/GenAI Engineer
Location: Remote
Position Type: Full Time
Compensation
Pay Range:$160,000-$185,000 Per Year
Description
Join our team as a Senior Engineer focusing on Python and Generative AI technologies.
This remote, full-time role involves developing advanced AI platforms, integrating semantic search, and creating microservices for complex reasoning tasks.
Ideal candidates will be experienced in building production-grade systems, solving natural language problems, and ensuring structured outputs using modern technology stacks.
Key Responsibilities
Develop AI-powered agents for classification and data extraction.
Create pipelines to convert natural language into structured data.
Integrate semantic search functionalities for improved data retrieval.
Design and implement microservices for asynchronous operations.
Collaborate across teams with clear and concise documentation.
Qualifications
6 years of professional experience in Python, with a focus on clean, tested, production-grade code.
1.5 years of experience in building production-level AI/LLM applications.
Proficiency in agentic frameworks and structured output extraction.
Strong skills in SQL and handling large datasets.
Experience with cloud platforms, preferably Azure, and containerization tools like Docker.
Core Technologies
Python | SQL | REST | Cloud Platforms | Containerization Tools
Contact Information
Daniel Paulli,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
#LI-DP1
Location: Remote
Position Type: Full Time
Compensation
Pay Range:$160,000-$185,000 Per Year
Description
Join our team as a Senior Engineer focusing on Python and Generative AI technologies.
This remote, full-time role involves developing advanced AI platforms, integrating semantic search, and creating microservices for complex reasoning tasks.
Ideal candidates will be experienced in building production-grade systems, solving natural language problems, and ensuring structured outputs using modern technology stacks.
Key Responsibilities
Develop AI-powered agents for classification and data extraction.
Create pipelines to convert natural language into structured data.
Integrate semantic search functionalities for improved data retrieval.
Design and implement microservices for asynchronous operations.
Collaborate across teams with clear and concise documentation.
Qualifications
6 years of professional experience in Python, with a focus on clean, tested, production-grade code.
1.5 years of experience in building production-level AI/LLM applications.
Proficiency in agentic frameworks and structured output extraction.
Strong skills in SQL and handling large datasets.
Experience with cloud platforms, preferably Azure, and containerization tools like Docker.
Core Technologies
Python | SQL | REST | Cloud Platforms | Containerization Tools
Contact Information
Daniel Paulli,
Onboarding Expectations
Learn more about our Onboarding Process here
EEO Statement
Learn more about our EEO policy here
#LI-DP1
Skills
Docker
Microservices
SQL
Azure
Generative AI
LLM
Python
REST
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