7 дней назад
SMTS Backend Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SMTS Backend Software Engineer (AI): Building and optimizing core execution engines and intelligent agents for Agentforce with an accent on AI orchestration and scalable backend architecture. Focus on transitioning legacy systems to next-generation AI reasoning, implementing LLM guardrails, and developing high-load distributed services.
Location: San Francisco, CA or Bellevue, WA
Company
is a global leader in CRM and AI-driven customer success platforms.
What you will do
- Maintain and optimize the legacy React Planner engine, ensuring high availability, security, and rapid resolution of critical bugs.
- Design and build new reasoning features and capabilities for the next-generation Agentforce reasoner.
- Implement generative AI services, design pipelines, and establish citations and guardrails for LLMs.
- Develop scalable end-to-end services supporting thousands of tenants in a production environment.
- Drive system efficiencies through automation, capacity planning, performance tuning, and root cause analysis.
- Collaborate with Product Managers, Data Scientists, and Deep Learning Researchers to productionize innovative AI technologies.
Requirements
- 5+ years of industry experience as a core backend product developer.
- Strong programming skills in Java (initial focus) and Python (for ML pipelines).
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field.
- Experience with distributed, scalable systems and frameworks such as Kafka, Docker, and Spark.
- Basic understanding of deep learning, machine learning algorithms, LLMs, and prompt engineering.
- Strong debugging and triage skills, especially when working with complex legacy codebases.
Nice to have
- Experience with conversational AI and fine-tuning methods for LLMs.
- Experience developing services for complex business use cases involving large amounts of unstructured data.
- Strong track record of driving collaboration across multiple technical teams.
Culture & Benefits
- Work within a team of passionate Generative AI Application Engineers focused on human-AI collaboration.
- Collaborative environment that values learning, teaching, and openness to new ideas.
- Opportunity to work on impactful AI products used by millions of people daily.
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