Remote Senior AI Engineer (šŸ’°~$105k, Boston or Remote, US) at Catalant | RemoteOK

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Catalant is hiring a

\nAs the pioneer of Consulting 2.0, Catalant gives the world’s leading companies on-demand access to a community of highly vetted independent consultants and former operators. From individual consultants to full project teams, we deliver the right expertise to solve our clients’ most important challenges. Our clients include more than 30% of the Fortune 500, top private equity firms, and global consultancies, all seeking a more flexible, cost-effective way to get high-impact work done.\n\n\nWe’ve reimagined consulting for today’s world: it’s digitally enabled, fit-for-purpose, and designed to deliver outcomes, not just hours. Our proprietary platform powers our ability to connect companies with Catalant Experts and Teams who’ve solved similar problems before. Backed by world-class venture investors, we’re building the team that will take Catalant and the future of consulting to the next level.\n\n\n\n\nWe’re looking for an AI Engineer to drive innovation across our platform and within our business. You’ll build AI-powered capabilities that provide industry-leading user experiences and help our clients and expert community achieve results faster, while also enabling Catalant’s internal team to work smarter and hit our growth targets. \n\n\n\nWhat you’ll do\n* Help drive adoption of AI on the Catalant platform and within our business, including:\n* AI Feature Development: Build and deploy enterprise-ready, AI-driven features that harness Catalant’s rich data to optimize our technology platform and internal workflows.\n* Building GenAI Systems With Cutting-Edge Design Patterns: Create and maintain systems that use technologies like advanced RAG, agents, and others to provide precise, contextually relevant information across our technology platform and internal processes.\n* Data Infrastructure: Team with data engineering to help ensure Catalant’s AI-focused data infrastructure is properly evolving, integrating multiple data sources into a robust, highly optimized data warehouse tailored specifically for AI applications.\n\n\n\n* Technical ownership over AI project lifecycles – own the projects you work on from planning to execution, with a team of friendly and helpful engineers that will provide assistance and feedback along the way.\n\n\n\n* Work cross-functionally by partnering with product, design, data analytics, business systems, etc. to plan and gather requirements for projects.\n\n\n\n* Deliver new product features to our clients quickly with a focus on accuracy, quality, usability, performance, and scalability\n\n\n\nWhat you’ll bring\n* At least 8-years of professional software engineeringĀ  experience, including 4+ years focused on generative AIĀ and ML systems.\n* Hands-on experience bringing AI solutions to production in an enterprise setting (i.e., you don’t just write code in notebooks)\n* Integrating LLM APIs into responsive, real-time applications\n* Hands on, professional experience with common genAI design patterns, such as RAG, agentic systems, evals,Ā  model fine-tuning\n* Familiarity with a variety of genAI models and frameworks\n* Familiar with basic AI/ML concepts such as collection and utilization of testing/training data, validation and testing; basic ML algorithms; and an understanding of how LLMs work\n* Grounding in data science fundamentals, such as regression analysis, cross-validation, and techniques to address overfitting and underfitting\n* Experience in the full lifecycle of enterprise AI projects, including evaluation, guardrails, and monitoring, and maintaining AI systems in production.Ā \n* Experience in MLOps / deploying models locally with GPUs and packages such as pytorch is a plus\n* Ability to work with stakeholders to understand requirements, collecting and incorporating feedback during and after deployment\n* Knowledge of OOP language(s);Ā  Deep and demonstrated python fluency required.Ā \n* Deep working knowledge of one or more gen AI frameworks (such as Langgraph, LlamaIndex, or others)\n* Experience working with relational and vector databases; MySQL and Databricks experience a plus.\n* Demonstrated experience staying up to date with industry developmentsĀ \n* Excitement about coaching peers in a constructive and positive way and ability to lead technically while also working independently and showing initiative to make an impact\n* Strong partnership with company leadership, engineering peers, product, and design during requirement discovery and solutioning\n* Ability to work with urgency, a strong sense of curiosity, and demonstrated ability to learn new technologies.\n\n\n\n\n\n\nAbout Catalant’s Engineering Team:\n\n\nWe value collaboration and teamwork, and strive for pragmatic solutions. We’re a Python shop on the Flask framework.Ā  We use docker, MySQL , Elasticsearch, and some VueJS deployed in GCP.Ā  We leverage CI and CD. We utilize theĀ  scrum framework to develop new features and platform improvements for our clients.Ā  New engineers typically deploy their first production code in their first week on the job.Ā  If you get stuck on a problem, your team is right there to help get you moving again. We are excited to be adding an engineer to our team that can help us bring our application to the next level while solving some of the interesting challenges we are addressing.\n\n\nOur team values diversity in experience and backgrounds—we do our best work when we create space for different voices and perspectives. Whatever unique experiences or skill sets you bring, we look forward to learning from each other.\n\n\nBenefitsĀ \n\n\nAt Catalant, we strive to offer a work environment where employees can bring however much of their full, authentic self as they desire. With this in mind, we are happy to offer our employees:Ā \n- Flexible paid time off\n- 13 company holidays + a week off from Christmas through New Years\n- Twelve weeks of paid parental leave regardless of how you choose to grow your family\n- Generous health insurance coverage as well as optional vision and dental\n- 401k to save for retirement\n- Pre-tax commuter and flexible spending accounts\n- A lifestyle spending account to be used towards cell phone, internet, commuting, and learning & developmentĀ \n- Wellness stipend for your mental, emotional, or physical wellbeing needs and support\n- Work from Home stipend\n\n\n\n\nEqual Employment Opportunity Policy\nCatalant is proud to be an equal opportunity workplace. Catalant makes employment decisions on the basis of merit and business objectives and does not discriminate against applicants or employees on the basis of age, race, color, religion, national origin, ancestry, gender (including gender nonconformity and status as a transgender individual), sexual orientation, pregnancy, marital status, military or veteran status, qualified physical or mental disability, genetic condition or predisposition, or any other status protected by law. All Catalant employees are prohibited from engaging in any form of discrimination.\n\n\n\n\nWe have a flexible hybrid work model, where employees local to our Boston headquarters come into our office on a flexible basis, and other employees are fully remote. We are hiring and conducting interviews and onboarding either virtually or in person if local to Boston, depending on what makes most sense based on the specific candidate and new hire. Talk to our People Team to learn more! \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Consulting, Senior and Engineer jobs that are similar:\n\n
$60,000 — $150,000/year\n

\n\n#Benefits\n
šŸ’° 401(k)\n\nšŸŒŽ Distributed team\n\nā° Async\n\nšŸ¤“ Vision insurance\n\n🦷 Dental insurance\n\nšŸš‘ Medical insurance\n\nšŸ– Unlimited vacation\n\nšŸ– Paid time off\n\nšŸ“† 4 day workweek\n\nšŸ’° 401k matching\n\nšŸ” Company retreats\n\nšŸ¬ Coworking budget\n\nšŸ“š Learning budget\n\nšŸ’Ŗ Free gym membership\n\n🧘 Mental wellness budget\n\nšŸ–„ Home office budget\n\n🄧 Pay in crypto\n\n🄸 Pseudonymous\n\nšŸ’° Profit sharing\n\nšŸ’° Equity compensation\n\nā¬œļø No whiteboard interview\n\nšŸ‘€ No monitoring system\n\n🚫 No politics at work\n\nšŸŽ… We hire old (and young)\n\n
\n\n#Location\nBoston or Remote, US

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