On-site Seattle, WA Python AI​/ML Developer

About the Company Join a technology-driven organization supporting clients across multiple industries. The organization focuses on building secure, scalable, data-driven, and AI-enabled solutions that improve operational efficiency, customer experience, automation, analytics, and business decision-making. As a Python Developer with AI exposure, you will play a key role in developing backend applications, APIs, data processing solutions, and AI-enabled enterprise applications for cross-industry use cases.

This role is ideal for a hands-on developer who can build production-ready Python solutions while contributing to AI/ML model integration, intelligent automation, document processing, analytics, and GenAI-enabled business applications.
Job Title: Python Developer with AI/ML
Employment Type: Full-Time
Work Location: Onsite
Experience

Required:

5-10 Years

Summary
Build secure Python and AI-enabled solutions for enterprise use cases. We are looking for an experienced Python Developer with practical AI/ML exposure to support technology initiatives across industries. The ideal candidate should have strong hands-on experience in Python development, backend engineering, REST API development, data processing, and AI/ML model integration. Applicants must have authorization to work in the United States that permits full-time employment for the duration of the position without requiring current or future employer sponsorship.

Primary

Skills:

Python, FastAPI, Flask, Django, REST APIs, Backend Development, AI/ML, Data Processing, Model Integration, Pandas, Num Py, Scikit-learn, SQL, Enterprise Applications
Secondary

Skills:

Tensor Flow, PyTorch, Lang Chain, GenAI, LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG, ETL, Git, CI/CD, Jenkins, Docker, Kubernetes, Cloud Platforms, Secure Coding

What You'll Do

• Develop, enhance, and maintain Python-based applications, APIs, automation scripts, and data processing solutions.
• Build and integrate RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
• Work on AI/ML-enabled solutions including model integration, data pipelines, intelligent automation, and analytics use cases.
• Support integration of machine learning models or GenAI services into enterprise applications.
• Develop reusable Python utilities for data extraction, transformation, validation, reporting, and workflow automation.
• Work with structured and unstructured data from applications, documents, reports, emails, transcripts, and business workflows.
• Collaborate with data scientists, AI engineers, product owners, business analysts, QA teams, and Dev Ops teams.
• Write clean, modular, testable, and secure Python code.
• Perform debugging, troubleshooting, performance tuning, and production support.
• Ensure applications follow enterprise standards for security, scalability, reliability, and maintainability.

• 5+ years of hands-on experience in Python development.
• Strong experience with Python, FastAPI, Flask, Django, REST APIs, and backend development.
• Good understanding of AI/ML concepts, model lifecycle, data preprocessing, and model integration.
• Hands-on experience with Python libraries such as Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch, Lang Chain, or similar AI/ML libraries.
• Experience working with databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar.
• Knowledge of data processing, ETL workflows, and API-based system integrations.
• Experience with Git, CI/CD pipelines, Jenkins, or similar development tools.
• Strong understanding of object-oriented programming, design patterns, clean coding, and unit testing.
• Knowledge of application security, authentication, authorization, and secure coding practices.
• Experience working in Agile/Scrum development environments.
• Ability to work with unstructured data such as PDFs, documents, emails, transcripts, reports, or operational records.
• Ability to work across business domains and translate use cases into scalable Python and AI-enabled solutions.

• Experience integrating AI/ML models into production applications.
• Exposure to GenAI, LLMs, prompt engineering, embeddings, vector databases, or RAG-based applications.
• Understanding of AI use cases such as document intelligence, customer analytics, recommendation engines, forecasting, process automation, and operational insights.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, or containerized application deployment.
• Exposure to Kafka,…