Python Software Engineer (JrMid Level)

Python Software Engineer (Jr-Mid Level)

6 months, with potential extension or conversion

Fremont, CA 5 days onsite

Role Summary

We are seeking a junior to midlevel Python Software Engineer (3-5 years experience) to design, build, and optimize dataintensive applications and machine learning solutions. The ideal candidate will come from fastpaced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting handson coding contributions, debugging, troubleshooting, and distributed systems experience.

This role requires strong engineering fundamentals, recent handson development, and the ability to clearly articulate technical contributions.

Responsibilities

• Design, develop, and deploy LLMpowered and AIdriven applications.

• Build scalable, highperformance solutions using Python and modern engineering practices.

• Develop and maintain REST APIs and microservices supporting critical business operations.

• Work with diverse data sources (text, voice, image, structured datasets).

• Collaborate with crossfunctional teams to identify opportunities for automation and optimization.

• Own production systems: monitoring, troubleshooting, and continuous improvement.

• Translate ambiguous business requirements into endtoend technical solutions.

• Write clean, maintainable, and reusable code following agile practices.

MustHave Requirements

• 3-5 years of professional software engineering experience.

• Bachelor s or Master s in Computer Science, Engineering, or equivalent practical experience.

• Strong handson Python experience for dataintensive and highperformance applications.

• Experience building and deploying production machine learning solutions.

• Demonstrated work with Large Language Models (LLMs) and Generative AI.

• Experience developing REST APIs and microservices.

• Proficiency with MySQL and Redis.

• Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).

• Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.

• Clear examples of debugging, troubleshooting, and distributed systems problemsolving.

NicetoHave Qualifications

• Experience with recommender systems, operations research, or advanced AI/ML solutions.

• Building and supporting enterprisescale ML platforms.

• Working with large, complex datasets in production environments.

• Knowledge of C# and ASP.NET (secondary skill).

• Prior experience automating compliance frameworks and generating audit evidence.