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It’s Our Business to Grow Yours
Senior AI Engineer
Location
United States
Posted
121 days ago
Salary
$153.0K - $240.4K / year
Seniority
Senior
Job Description
Senior AI Engineer
ZoomInfo
• Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time • Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform • Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making • Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights • Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads • Drive quality, performance, scalability, and observability across all systems you own • Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling • Contribute to technical leadership and mentorship of teammates.
Job Requirements
- 7+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
- Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)
- Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)
- Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks.
- Proficiency in one or more core languages: Java, Go, Python
- Solid grasp of SQL and large-scale data modeling
- Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake
- Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.
- Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.
Benefits
- holistic mind, body and lifestyle programs designed for overall well-being
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