обновлено 2 дня назад
Software Engineer (Gen AI)
181 000 - 222 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Gen AI) (AI agents and chatbot workflows): Building and shipping agent-driven chatbots and GenAI workflows that improve financial access for millions of customers with an accent on reliable systems, end-to-end feature ownership, and AI-assisted development. Focus on designing, implementing, evaluating, and measuring the impact of AI-powered features while collaborating with product, ML, and engineering teams.
Location: Mountain View, United States; hybrid work with in-person attendance at the Mountain View HQ two days per week.
Salary: $181,000–$222,000 annual base salary, plus equity and benefits.
Company
builds earned wage access products that provide real-time financial flexibility and help people manage their financial well-being.
What you will do
- Build and ship agent-driven chatbots and GenAI workflows that deliver customer impact.
- Own features end to end, from definition and design through implementation, evaluation, and impact measurement.
- Use modern AI development tools such as Cursor, Codex, and Claude-style assistants.
- Collaborate with product, ML, and engineering teams in a fast-moving, ownership-driven environment.
- Explore and improve engineering workflows for building software with AI agents.
Requirements
- 3+ years of software engineering experience.
- Bachelor’s degree or equivalent industry experience.
- Strong software engineering fundamentals and system design skills.
- Experience writing reliable, durable, and maintainable code.
- Proactive problem-solving, rapid lg, initiative, and a growth mindset.
- Currently authorized to work in the United States; candidates working under OPT or CPT are not eligible.
Nice to have
- Hands-on experience with GenAI and agent-based systems.
- Experience using AI-assisted development tools such as Copilot, Cursor, or LLMs.
Culture & Benefits
- Equity and employee benefits are provided.
- Work in an ownership-driven, fast-moving engineering culture.
- Collaborate with experienced product, ML, and engineering teams.
- supports a diverse and inclusive workplace focused on belonging.
Hiring process
- AI-powered tools may assist with interview summaries, note-taking, scheduling, resume review, and response analysis.
- Final hiring decisions are made by human interviewers and hiring managers.
- Interview recording or transcription is conducted only with candidate consent.
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