1 час назад
AI Engineer (AI Agents)
150 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (AI Agents) (Applied AI): Building scalable multi-agent AI systems and complex agentic pipelines around open- and closed-source LLMs, with an accent on enterprise software integration, model fine-tuning, and AI infrastructure. Focus on designing tool-calling hierarchies, creating training and evaluation pipelines, and deploying secure inference services across AWS, Azure, and GCP.
Location: San Jose Office (HQ) or San Francisco Office, United States
Estimated base salary: $150K–$230K annually, plus equity.
Company
builds multi-agent AI systems that automate complex enterprise workflows across platforms including SAP, Salesforce, Workday, Snowflake, and MuleSoft.
What you will do
- Develop complex multi-step agentic pipelines using open-source and closed-source LLMs.
- Build tools that enable AI systems to interact with critical enterprise software platforms.
- Create data generation and processing pipelines for training and fine-tuning custom ML models.
- Implement and manage LLM training and evaluation pipelines.
- Manage AI infrastructure across AWS, Azure, and GCP, including inference endpoints and AI services.
- Align AI system designs with business objectives and industry best practices.
Requirements
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering, platform engineering, or related roles.
- Proven expertise in AI model building and agent development.
- Strong experience developing ML- and LLM-driven systems.
- Experience with compound AI systems, vector databases, and tool-calling AI systems.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Nice to have
- Experience building and deploying production-grade, large-scale AI applications.
- Familiarity with AI deployment, evaluation, and monitoring practices.
- Ability to explain complex technical concepts to non-technical stakeholders.
Culture & Benefits
- Fast-moving, high-growth environment focused on applied AI.
- Strong ownership and emphasis on measurable enterprise impact.
- Equity included in the compensation package.
- Opportunity to build reliable, scalable AI systems at the frontier of enterprise automation.
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