AI Engineer

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.ResponsibilitiesDesign, 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.Requirements4+ years of backend engineering experience in Python, Go, Java or similar.Familiarity with evaluating model performance using metrics. Proven experience building high performance or distributed systems.4+ years of hands on experience integrating ML or LLM models into production.Strong understanding of cloud infrastructure, microservices and observability.Ability to operate effectively under ambiguity and navigate dynamic environments.Strong communication and collaboration skills.Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of three days per week on-site in the office, per company policy.Note on Fraudulent RecruitingWe have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO Next Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of ERGO Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.US annual base salary range for this full-time position: $127,000—$220,000 USDDon’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.