Note: The job is a remote job and is open to candidates in USA. ZenBusiness is a company dedicated to helping entrepreneurs launch and run their businesses. They are seeking a Senior AI Engineer to design, build, and maintain the platform that powers customer-facing AI tools, contributing to various aspects of AI model integration and performance evaluation.
Responsibilities
- 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
Skills
- 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), as well as 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
- Familiarity with the GCP ecosystem
Benefits
- Competitive benefits
- Paid time off
- Equity
- Additional programs designed to support employee well-being and growth
- Good salaries
- Benefits
- Equity
- Interesting challenges that have a positive impact
- Weekly “All Hands” meeting every week
- A social committee that hosts frequent events
- Virtual talent show
- Costume competitions
- Monthly lunch and learn series
- Hackathons
- Medical, vision, dental, disability, and life insurance
- Parental and military leave
- Employee assistance program
- 401k + match
- Annual bonus
- Pet insurance
- RSUs
- Paid parking
- 10 paid holidays
Company Overview
Company H1B Sponsorship