Job Url: https://www.remoterocketship.com/company/gocatalant/jobs/senior-ai-engineer-united-states-remote Job Description: Catalant Technologies Website LinkedIn All Job Openings Catalant helps companies get from strategy to execution faster with on-demand access to expertise. More than 30% of the Fortune 100 — and hundreds of other leading companies — trust our Expert Marketplace to find the right people at the right time to execute strategic work.With flexible access to more than 75,000 elite independent consultants and 1,000 firms, businesses use Catalant to overcome capability and capacity gaps, variabilize workforce costs, and engage external talent faster and at lower cost than with traditional consulting firms.Catalant is headquartered in Boston, Massachusetts, and serves customers around the world. Visit us at www.GoCatalant.com. 201 - 500 employees Senior AI Engineer 12 hours ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor MySQL Python PyTorch Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Help drive adoption of AI on the Catalant platform and within our business, including: • 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. • 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. • 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. • 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. • Work cross-functionally by partnering with product, design, data analytics, business systems, etc. to plan and gather requirements for projects. • Deliver new product features to our clients quickly with a focus on accuracy, quality, usability, performance, and scalability • At least 8-years of professional software engineering experience, including 4+ years focused on generative AI and ML systems. • Hands-on experience bringing AI solutions to production in an enterprise setting (i.e., you don’t just write code in notebooks) • Integrating LLM APIs into responsive, real-time applications • Hands on, professional experience with common genAI design patterns, such as RAG, agentic systems, evals, model fine-tuning • Familiarity with a variety of genAI models and frameworks • 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 • Grounding in data science fundamentals, such as regression analysis, cross-validation, and techniques to address overfitting and underfitting • Experience in the full lifecycle of enterprise AI projects, including evaluation, guardrails, and monitoring, and maintaining AI systems in production. • Experience in MLOps / deploying models locally with GPUs and packages such as pytorch is a plus • Ability to work with stakeholders to understand requirements, collecting and incorporating feedback during and after deployment • Knowledge of OOP language(s); Deep and demonstrated python fluency required. • Deep working knowledge of one or more gen AI frameworks (such as Langgraph, LlamaIndex, or others) • Experience working with relational and vector databases; MySQL and Databricks experience a plus. • Demonstrated experience staying up to date with industry developments • 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 • Strong partnership with company leadership, engineering peers, product, and design during requirement discovery and solutioning • Ability to work with urgency, a strong sense of curiosity, and demonstrated ability to learn new technologies. 🎯 Requirements • At least 8-years of professional software engineering experience, including 4+ years focused on generative AI and ML systems. • Hands-on experience bringing AI solutions to production in an enterprise setting (i.e., you don’t just write code in notebooks) • Integrating LLM APIs into responsive, real-time applications • Hands on, professional experience with common genAI design patterns, such as RAG, agentic systems, evals, model fine-tuning • Familiarity with a variety of genAI models and frameworks • 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 • Grounding in data science fundamentals, such as regression analysis, cross-validation, and techniques to address overfitting and underfitting • Experience in the full lifecycle of enterprise AI projects, including evaluation, guardrails, and monitoring, and maintaining AI systems in production. • Experience in MLOps / deploying models locally with GPUs and packages such as pytorch is a plus • Ability to work with stakeholders to understand requirements, collecting and incorporating feedback during and after deployment • Knowledge of OOP language(s); Deep and demonstrated python fluency required. • Deep working knowledge of one or more gen AI frameworks (such as Langgraph, LlamaIndex, or others) • Experience working with relational and vector databases; MySQL and Databricks experience a plus. • Demonstrated experience staying up to date with industry developments • 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 • Strong partnership with company leadership, engineering peers, product, and design during requirement discovery and solutioning • Ability to work with urgency, a strong sense of curiosity, and demonstrated ability to learn new technologies. 🏖️ Benefits • Flexible paid time off • 13 company holidays + a week off from Christmas through New Years • Twelve weeks of paid parental leave regardless of how you choose to grow your family • Generous health insurance coverage as well as optional vision and dental • 401k to save for retirement • Pre-tax commuter and flexible spending accounts • A lifestyle spending account to be used towards cell phone, internet, commuting, and learning & development • Wellness stipend for your mental, emotional, or physical wellbeing needs and support • Work from Home stipend