Company Name: Procurement Sciences

Job Details: $140k-$200k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/x28kh80v49xndq4x

Job Description: Posted 5d agoSr. AI and ML Engineer@ Procurement SciencesView All JobsWebsiteUnited States$140k-$200k/yrRemoteFull TimeResponsibilities:Build production classification systems, Design ML pipelines, Integrate LLM APIsRequirements Summary:5+ years deploying ML models in production; strong Python and ML libraries; experience with ML infra; familiar with foundation model APIs and vector databases; able to deploy and monitor systems.Technical Tools Mentioned:Python, scikit-learn, pandas, numpy, OpenAI API, Anthropic API, LangChain, Dagster, Airflow, vector databases, model serving, monitoring
Company Overview:Procurement Sciences is at the forefront of transforming the multi-billion-dollar government contracting industry with Awarded AI, our cutting-edge platform designed to help businesses excel in government sales. We simplify complex processes, drive revenue growth, and deliver real cost savings through unmatched efficiency. As a leading venture-backed SaaS company founded by seasoned GovCon experts, we are not just participants in the AI revolution; we are shaping it by solving the industry’s toughest challenges. Our “One Team, One Fight” culture values creativity, accountability, and forward-thinking, and we invite driven builders and innovators to help us develop high-performing teams. Ranked among the top 10 percent of fastest-growing SaaS companies and on a clear path to becoming a unicorn, we are seeking top talent to join our early team and play a key role in building the next great AI software company.Job Description: We are seeking a Machine Learning Engineer to build and scale classification and recommendation systems that power our core product. You'll work closely with ML leadership to apply proven ML fundamentals across diverse technical challenges, including integrating LLM-based features into our existing workflows. In this role, you will own traditional ML systems while gaining hands-on experience with modern AI components like RAG pipelines and agent frameworks. Your work will directly impact product performance through better recommendations, search quality, and user classification. You'll collaborate with a talented team to solve real technical problems in a fast-growing SaaS environment.Key Responsibilities:Build, deploy, and maintain production classification and recommendation systems serving thousands of usersDesign and implement ML pipelines for training, evaluation, and monitoring of traditional ML modelsIntegrate LLM APIs and vector databases into existing ML workflows to enhance product capabilitiesCollaborate with product and engineering teams to translate business requirements into scalable ML solutionsOptimize model performance, system reliability, and inference latency across our ML stackIdeal Candidate:Strong foundation in traditional machine learning with production deployment experienceExcited to apply ML fundamentals to modern AI workflows including RAG and basic agent systemsCollaborative problem solver who thrives in startup environments with evolving requirementsEager to learn new technologies while leveraging proven ML engineering practicesRequired Experience:5+ years deploying ML models in production (classification, recommendations, or similar)Strong Python proficiency with ML libraries (scikit-learn, pandas, numpy) and deployment frameworksExperience with ML infrastructure: model serving, monitoring, and data pipelinesFamiliarity with foundation model APIs (OpenAI, Anthropic, etc.) and vector databasesTrack record of building systems that handle real user traffic and dataDesired Experience:Experience with LangChain, LangGraph, or similar LLM orchestration frameworksKnowledge of data orchestration platforms like Dagster or AirflowBackground in search systems, embeddings, or information retrievalRequirements:U.S. citizenship with the ability to pass a Federal Background Check and Identity Verification.While formal education is not a strict requirement, a Bachelor's or Master’s degree in Computer Science, Engineering, or a related field is preferred.Compensation and Benefits:Competitive salary with stock options in a rapidly growing, venture-backed company.Comprehensive health plan, ensuring you and your loved ones are well taken care of.Flexible work arrangements, including full remote work capabilities, to balance your professional and personal life.Extensive professional development opportunities, providing a fast track for career advancement.AI policy Notice:We want you to get the chance to know us in the interview process and for us to learn as much as we can about you, too. To make this possible and to ensure fairness for all our candidates, we have a no-exceptions policy on AI usage and augmentation during interviews. While we are an AI first company, this does mean we prohibit any AI tooling during the interview process unless otherwise explicitly allowed (such as large language models, code suggestion software, or AI assistants) to generate, refine, or suggest answers, solutions, or code, regardless of the format (written, spoken, or coded). We want to get to know you, your experiences, and qualifications genuinely and directly and the best way to do this is to keep it just between us.To keep the interview fair for all, we reserve the right to ask follow-up questions or request you to clarify or elaborate on your solutions without the aid of external tools to validate that the answers provided genuinely reflect your own skills and experience. Violation of this code of conduct will result in the immediate termination of your candidacy.Background Notice: Background Check Required. As part of our employment process, a background check is required. This may include a review of your credit history, criminal records, and employment verification, conducted in compliance with the Fair Credit Reporting Act (FCRA). By applying, you acknowledge and consent to this process.