About UsAsteri is an AI-native Work Intelligence and Orchestration Platform that gives large enterprises the intelligence to understand how work is performed today and how it should be performed in the era of AI, eliminating inefficiencies and identifying high-impact opportunities for AI augmentation. Our platform orchestrates AI and human work with enterprise-grade governance, auditability, and measurement built for production environments at scale.The RoleWe are looking for an AI & ML Engineer with strong software engineering foundations to join our growing engineering team. This role sits at the intersection of applied AI and production software and focuses on building reliable, scalable, enterprise-ready AI systems. You will work closely with software engineers and platform teams to design, deploy, and operate AI-powered capabilities that directly power our core product. This is not a research-only role: success is measured by production impact, reliability, and customer value.What You’ll DoDesign, build, and operate production-grade AI/ML systems that power Asteri’s orchestration platformCollaborate closely with backend, platform, and frontend engineers to integrate AI capabilities into scalable, reliable product workflowsDeploy and iterate on LLM-based applications in production, continuously evaluating quality, latency, and costOwn retrieval and agentic systems (e.g., RAG pipelines, workflow agents, policy-driven logic) end-to-endDefine and run rigorous evaluation and testing for AI systems, including offline experiments and production monitoringImprove model performance and system behavior over time through experimentation, tuning, and system-level optimizationsImplement strong engineering practices for AI development, including testing, CI/CD, versioning, and rollback strategiesStay current with advances in applied AI and generative models and translate relevant techniques into practical product improvementsPartner with cross-functional teams to understand product requirements and translate them into robust AI solutionsWhat Will Make You SuccessfulMust-HavesBachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experienceStrong proficiency in Python and experience building production software5+ years of professional experience spanning software engineering and applied AI/ML developmentExperience deploying and operating ML or LLM-based systems in production environmentsSolid understanding of machine learning fundamentals, model evaluation, and system-level tradeoffsExperience with cloud-based deployment of ML systemsStrong software engineering skills, including systems design, testing, and performance optimizationAbility to reason about and communicate complex technical concepts clearlyComfortable working independently while collaborating closely with a senior engineering teamNice-to-HavesExperience building applications with LLM frameworks such as LangChain, LlamaIndex, or Hugging FaceDeep experience with retrieval-augmented generation (RAG) systems and optimization techniquesFamiliarity with ML lifecycle and experimentation tools (e.g., MLflow, Weights & Biases, DVC)Experience building distributed or data-intensive systemsExposure to enterprise or regulated environmentsWhy Join UsYou’ll have direct ownership of critical AI systems, real production impact, and the opportunity to shape how AI is safely and effectively deployed alongside humans at scale. Competitive compensation with remote-friendly culture, and a pragmatic, production-first approach to AI.
about 2 months ago