13 часов назад
AI Software Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (Python/LLM): Designing and deploying production-ready AI systems, machine-learning pipelines, and AI-powered features for an ERP-native financial operations platform with an accent on LLMs, agents, scalable deployment, and model reliability. Focus on integrating AI into backend and frontend applications, optimizing production models, and building cloud infrastructure for AI workflows.
Location: Czech Republic; fully remote role
Company
Zone & Co provides an ERP-native AI platform for financial operations within Oracle NetSuite, supporting more than 4,500 customers across the financial lifecycle.
What you will do
- Design, prototype, implement, and deploy AI systems for real-world business applications.
- Build end-to-end AI/ML pipelines and integrate models into backend and frontend products.
- Collaborate with product managers, data scientists, and engineers to deliver scalable AI solutions.
- Monitor and optimize deployed models for performance, scalability, reliability, data quality, privacy, and ethical use.
- Evaluate AI frameworks and technologies, lead experimentation, and contribute to cloud and infrastructure decisions.
- Participate in code reviews, mentor junior engineers, and communicate technical outcomes to technical and non-technical audiences.
Requirements
- At least 2 years of software engineering experience focused on AI/ML applications.
- Bachelor’s degree in Computer Science, AI, Data Science, or a related field; a Master’s degree is preferred.
- Hands-on experience with LLMs, agents, and frameworks such as LangGraph, AutoGen, or DSPy.
- Proficiency in Python and familiarity with JavaScript or similar languages; knowledge of statically typed languages is beneficial.
- Strong understanding of relational and non-relational databases, plus experience deploying AI systems in production.
- Strong written and verbal English communication skills.
Nice to have
- Experience with containerization.
- Familiarity with AWS or Azure cloud platforms.
- Master’s degree in a relevant field.
Culture & Benefits
- Fully remote work within a global team.
- High-trust flexibility with autonomy and limited micromanagement.
- Opportunities to work on a high-velocity SaaS environment and AI-powered financial products.
- Commitment to diversity, equity, inclusion, ethical AI, and continuous professional growth.
Hiring process
- Employment is offered as a fixed-term or permanent contract based on the candidate’s country of residence outside the United States.
- Employment terms, notice periods, probation, and statutory entitlements are defined in a written contract.
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