Senior AI Engineer

ZenBusiness

Senior AI Engineer developing customer-facing AI tools at ZenBusiness. Collaborating with cross-functional teams to enhance AI systems' scalability and reliability.

Posted 5/5/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

JavaScriptNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

Build and maintain APIs that integrate generative AI models into production systems, with a focus on scalability and low latency.
Collaborate with cross-functional teams to identify use cases for generative AI, define requirements, and contribute to impactful solutions.
Implement and optimize workflows for model inference using large-scale pre-trained models.
Contribute to generative AI model pipelines, supporting monitoring and ongoing performance.
Conduct experiments to evaluate generative AI models against real-world performance metrics such as fluency, coherence, and factual accuracy.
Stay current with advancements in generative AI research and help integrate new techniques into the organization’s capabilities.
Support the reliability, scalability, and security of generative AI systems in deployment.
Document processes, architectures, and technical decisions to facilitate collaboration and future improvements.

Requirements

What you’ll need

4+ years of experience in ML/AI engineering, with experience contributing to generative AI products.
Experience with LLM design patterns, including Retrieval-Augmented Generation (RAG).
Familiarity with broader search and retrieval systems such as vector search, semantic search, and document indexing.
Strong knowledge of large language model (LLM) concepts including prompt engineering, AI feature evaluation, and working with vector databases.
Experience working with Vertex AI or similar managed AI platforms.
Hands-on experience with LLM evaluation frameworks, including dataset management, recall testing, and LLM-as-judge patterns.
Familiarity with experiment tracking tools such as Weights & Biases.
Working knowledge of MLOps practices: deployment, model monitoring, and CI/CD workflows.
Strong problem-solving, system design, and technology decision-making skills.
Some exposure to application development, such as contributing to or building simple software applications.
Experience with Node.js and/or TypeScript, particularly in building or maintaining API services.
Experience designing and versioning REST APIs.
Working knowledge of PostgreSQL, including schema design, migrations, and JSONB usage.

Benefits

Comp & perks

The company offers various benefits to employees and their dependents, including medical, vision, dental, disability, and life insurance.
Parental and military leave.
Other benefits include an employee assistance program, 401k + match, annual bonus, pet insurance, and RSUs.
Paid parking* and 10 paid holidays are also provided.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ML/AI engineeringgenerative AILLM design patternsRetrieval-Augmented Generation (RAG)large language model (LLM)prompt engineeringvector databasesMLOpsNode.jsTypeScript

Soft Skills

problem-solvingsystem designtechnology decision-makingcollaboration