SW Engineer

Visa•Austin, TX

1d•$86,500 - $134,400•Hybrid

About The Position

The SW Engineer conducts, plans, or oversees analysis, design, programming, debugging, and modification of computer programs for commercial or end-user applications. The role includes writing code, completing programming tasks, testing and debugging applications, and preparing documentation and procedures for installation and maintenance. The engineer may interface with users to define system requirements or modifications and may develop cost estimates, budgets, and schedules. The position requires digital fluency, including the ability to use emerging technologies such as generative AI tools to support everyday work. It is hybrid, with at least three days per week in the office; the Hiring Manager will confirm which days. The position is based in Austin, Texas, or the Greater Austin metropolitan area and requires travel 5–10% of the time. Work hours vary according to departmental needs.

Requirements

Be based in Austin, Texas, or the Greater Austin metropolitan area.
Bachelor’s degree or at least 3 years of relevant work experience.
Strong proficiency in Java and/or Python, including async/await patterns, type hints using Pydantic v2, and high-performance serialization with orjson.
Hands-on experience with LangChain, RAG architectures, LLM API integration, prompt engineering, and agentic AI patterns.
Familiarity with intent classification and NLP pipelines.
Digital fluency, including the ability to work with emerging technologies such as generative AI tools.

Nice To Haves

Experience with FastAPI for building production APIs.
Experience in analysis, design, and programming of computer applications.
Experience debugging and modifying software programs.
Experience writing and maintaining technical documentation.
Experience performing software testing and troubleshooting.
Experience collaborating with users or stakeholders to gather requirements.
Experience developing or supporting installation and maintenance procedures.
Experience with Model Context Protocol (MCP) JSON-RPC 2.0, REST APIs, Server-Sent Events (SSE), and mTLS.
Understanding of agent-to-agent communication patterns.
Ability to design and implement robust APIs using FastAPI, including request validation with Pydantic, authentication with OAuth2, API keys, or mTLS, and streaming responses.
Experience developing and deploying cloud-native containerized applications.
Practical use of generative AI models for code development and familiarity with LLM API integration patterns, including ChatOpenAI, token management, and streaming.

Responsibilities

Conduct analysis, design, programming, debugging, and modification of computer programs for commercial or end-user applications.
Write code and complete programming tasks.
Test and debug applications.
Complete documentation and procedures for installation and maintenance.
Interface with users to define system requirements and necessary modifications.
Develop cost estimates, budgets, and schedules as needed.