greenhouse
AI Engineer
ERGO NEXT Group INTERNAL
Waltham, USA
Full-time
Mid · 2+ years experience
Hybrid
USD 127000-265000 yearly / year
Discovered 1 weeks ago
PythonGoJavaLLMCloudMicroservices
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Location: Waltham, MA (hybrid: 3 days in-office)
- ERGO NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.
- We are seeking an AI Engineer with strong backend skills to design, build and scale AI driven capabilities. The role focuses on building robust AI systems, developing the surrounding LLM harness and quality frameworks, leveraging advanced GenAI techniques, and implementing production monitoring for end-to-end delivery in a fast-paced environment. This opportunity is heavily focused on backend and GenAI work.
Responsibilities
- Design, implement and optimize backend services that support AI workflows.
- Integrate ML and LLM models into production systems with focus on performance, reliability and scalability.
- Building and owning AI features end to end.
- Evaluating/monitoring AI systems in pre-release/production environments.
- Building reliable AI systems and writing production code.
- Experience building or maintaining backend services or microservices.
- Diagnose complex issues across data pipelines, model serving and backend components. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines.
- Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans.
- Contribute to system design, architecture reviews and code quality improvements.
- Support innovation and continuous improvement by identifying opportunities and driving technical initiatives.
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