5 дней назад
SW Engineer (AI/ML)
86 500 - 134 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SW Engineer (AI/ML) (Java/Python, Generative AI): Designing, implementing, testing, and debugging commercial software applications and production APIs with an accent on FastAPI, LLM integrations, RAG architectures, and agentic AI patterns. Focus on building cloud-native services, integrating MCP and REST protocols, implementing secure streaming APIs, and supporting installation and maintenance documentation.
Location: US - Austin, TX; must be based in Austin or the Greater Austin metropolitan area. This is a hybrid position with office attendance determined by the Hiring Manager. The role requires 5–10% travel and is performed in an office setting.
Salary: $86,500–$134,400 USD per year, with potential bonus and equity eligibility.
Company
is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities.
What you will do
- Analyze, design, program, debug, and modify commercial or end-user applications.
- Write code, complete programming tasks, and test and troubleshoot software.
- Build and support production APIs and cloud-native containerized applications.
- Integrate LLM APIs, RAG architectures, prompt engineering, and agentic AI patterns.
- Prepare installation, maintenance, and technical documentation.
- Collaborate with users and stakeholders to define system requirements, estimates, budgets, and schedules.
Requirements
- Bachelor's degree or 3+ years of relevant work experience.
- Strong proficiency in Java or Python, including async/await patterns, type hints, Pydantic v2, and orjson.
- Hands-on experience with LangChain, RAG architectures, LLM API integration, prompt engineering, and agentic AI patterns.
- Experience with intent classification and NLP pipelines.
- Must be based in Austin, Texas, or the Greater Austin metropolitan area.
- Ability to work in a hybrid office setting and travel 5–10% of the time.
Nice to have
- Experience with FastAPI, Pydantic validation, OAuth2, API keys, mTLS, and streaming responses.
- Knowledge of Model Context Protocol, JSON-RPC 2.0, REST APIs, Server-Sent Events, and agent-to-agent communication.
- Experience developing and deploying cloud-native containerized applications.
- Experience with technical documentation, software troubleshooting, requirements gathering, and maintenance procedures.
Culture & Benefits
- Opportunity to work on payments technology operating across more than 200 countries and territories.
- Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
- Work hours vary according to department needs.
- Generative AI tools are used to support everyday work.
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