1 день назад
Senior AI Engineer (Applied AI Solutions)
195 000 - 225 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Applied AI Solutions): Designing and deploying agentic AI systems, RAG pipelines, and API-driven workflows that automate complex enterprise processes with an accent on Google Cloud, Vertex AI, Gemini, and production-grade engineering. Focus on architecting multi-step tool-using agents, integrating LLMs with enterprise data and external tools, and scaling zero-to-one prototypes into reliable systems.
Location: New York, New York; hybrid work arrangement
Salary: $195,000–$225,000 per year
Company
is building a dedicated AI development team to transform agency operations through applied AI solutions.
What you will do
- Architect and deliver multi-step, tool-using agent systems that automate complex enterprise workflows.
- Design orchestration logic across APIs, data sources, and large language models with a focus on reliability, performance, and scalability.
- Build and deploy production-grade RAG pipelines, tool integrations, and API-driven workflows.
- Lead development from zero-to-one prototypes through extensible, production-ready systems.
- Partner with business, product, design, data, and engineering stakeholders to translate workflows and business needs into scalable technical solutions.
- Evaluate emerging models, tools, and frameworks across LLMs, RAG architectures, and agentic systems.
Requirements
- Proven experience architecting and deploying end-to-end AI/ML systems in production, with ownership from problem definition through delivery.
- Deep hands-on experience with Google Cloud Platform, including Vertex AI Pipelines, Vertex AI Search, Vertex AI Model APIs, and the Gemini model family.
- Experience designing multi-step, tool-using agents and complex RAG architectures, using LangChain, LlamaIndex, or similar frameworks.
- Strong Python and backend engineering skills, including APIs and microservices.
- Experience with Docker, Kubernetes orchestration such as GKE, CI/CD pipelines, and integrations with external tools, APIs, and enterprise data sources.
- Ability to operate with ownership in fast-moving, ambiguous environments and design effectively around platform constraints.
Nice to have
- Experience evaluating and integrating multiple AI platforms, including Gemini, Claude, and Perplexity.
- Experience integrating AI systems with Snowflake, BigQuery, SharePoint, Salesforce, or similar enterprise platforms.
- Familiarity with enterprise security models, data access controls, and permission-aware system design.
- Background in client-facing, consulting, or cross-functional product environments.
Culture & Benefits
- Opportunity to help establish a new AI development team and champion applied innovation.
- Health insurance, life and disability insurance, and retirement savings plans.
- Company-paid holidays and unlimited paid time off.
- Mental health and wellness resources, fitness reimbursement, pet insurance, and childcare resources.
- Identity theft insurance and fertility assistance programs.
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