5 дней назад
Software Development Engineer - Document Intelligence (AI)
148 000 - 222 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Engineer - Document Intelligence (AI) (Python/Kubernetes/LLMs): Building and deploying scalable AI platforms and document-processing infrastructure with an accent on agentic AI, tool calling, multi-agent architectures, and human-in-the-loop integrations. Focus on designing production ML services, multi-tenant runtimes, scalable data pipelines, and MLOps automation for large-scale inference.
Location: USA, CA, Pleasanton. Flex Work requires spending at least 50% of each quarter in the office or in the field.
Annual base salary: $148,000–$222,000 USD for Pleasanton; additional US locations: $123,900–$222,000 USD. The role may also include bonus compensation and annual refresh stock grants.
Company
is a Fortune 500 technology company providing an AI platform for managing people, money, and business workflows.
What you will do
- Build and maintain AI platform capabilities for tool calling, multi-agent architectures, planning, reasoning, and action execution.
- Develop secure, scalable RESTful services and ML infrastructure using Python and Kubernetes.
- Contribute to multi-tenant runtime architectures supporting inference at the scale of millions of users.
- Translate product requirements into functional technical designs with cross-functional partners.
- Apply MLOps practices including automation, observability, CI/CD, and production deployment.
- Participate in design reviews, code quality initiatives, and knowledge-sharing with senior engineers and ML researchers.
Requirements
- 5+ years of software development engineering experience, including designing, developing, and deploying software solutions.
- 2+ years of Python experience shipping production code and systems.
- 2+ years of experience building scalable data pipelines and working with large-scale datasets.
- 2+ years deploying production services to cloud platforms such as AWS, Azure, or GCP, and using Docker or Kubernetes for MLOps.
- Experience with generative models, LLMs, RAG, AI agents, distributed systems, performance optimization, PostgreSQL, Redis, and API development.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Culture & Benefits
- Flexible scheduling through a combination of in-person and remote work.
- Opportunities to develop collaborative products serving more than 31 million customers.
- Potential eligibility for the Bonus Plan or role-specific bonus and annual refresh stock grants.
- Reasonable accommodations are available during the application process.
- Equal employment opportunity protections apply, including for individuals with disabilities and protected veterans.
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