Python Software Engineer

Saige Partners•San Jose, CA

3d•Onsite

About The Position

We are seeking a Software Engineer to help build and deploy production applications powered by agentic AI. This role will focus primarily on Python development, API integration, and incorporating LLM capabilities into real-world software applications. The ideal candidate has a strong foundation in software engineering, hands-on experience with APIs and LLMs, and an interest in emerging AI technologies.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
0–2 years of software engineering experience, including internships, co-ops, academic projects, hackathons, or substantial personal/open-source projects.
Strong foundation in Python, including clean coding practices, testing, debugging, and common development tooling.
Hands-on experience building or consuming REST APIs.
Understanding of software engineering fundamentals, including Git, version control, code reviews, testing, and collaborative development workflows.
Familiarity with agentic AI concepts, such as tool/function calling, prompt chaining, or agent loops.
Hands-on experience integrating LLM APIs into an application.

Nice To Haves

Experience with LangGraph, LangChain, or similar agentic AI frameworks.
Exposure to SQL or NoSQL databases, caching technologies, or message queues.
Experience with asynchronous or concurrent programming in Python.
Familiarity with Retrieval-Augmented Generation (RAG) concepts, including embeddings, vector databases, and retrieval pipelines.
Experience working with AI/ML projects through coursework, hackathons, personal projects, open-source contributions, or professional experience.

Responsibilities

Develop clean, maintainable, and testable Python applications for production environments.
Design, build, and integrate REST APIs using frameworks such as FastAPI, Flask, or Django.
Integrate LLM and AI capabilities into production software applications.
Work with LLM APIs, including OpenAI, Anthropic, or open-source models.
Develop and integrate agentic AI workflows involving tool/function calling, prompt chaining, and agent loops.
Implement authentication, pagination, error handling, and other API best practices.
Write unit tests, participate in code reviews, and follow established software development practices.
Use Git and standard development tooling to collaborate effectively within an engineering team.
Read, troubleshoot, debug, and contribute to existing codebases.
Collaborate with engineers and cross-functional teams to design, develop, test, and deploy new features.