Programa is a fast-growing startup building the operating system for the design industry. Our platform empowers interior designers and architects to manage projects, products, and workflows — all in one modern tool. As we scale, we’re investing heavily in AI to transform how design professionals interact with tools, data, and clients.We’re looking for a Machine Learning Engineer who thrives at the intersection of ML, infrastructure, and product. In this high-impact, hands-on role, you’ll help build intelligent systems that understand user context, surface relevant products, and drive automation via LLM-powered interfaces. This is a chance to make a real impact by shipping production-grade AI systems — not just prototypes — in a high-velocity startup environment.What You'll DoDesign and ship end-to-end ML-powered features across search, recommendations, and automationBuild and maintain LLM-based agents that interact with structured data, APIs, and user workflowsOwn model deployment and infrastructure (SageMaker, AWS Lambda, OpenSearch, Bedrock)Develop embedding pipelines and monitor vector search relevance and performanceWork on context-aware RAG systems to enable smarter AI assistantsBuild and scale data ingestion and enrichment pipelines (e.g., product data, usage signals)Contribute to dbt models that support ML pipelines and business reportingCollaborate with engineers to expose internal capabilities as AI tools (e.g., task creation, product matching)Help establish an evaluation framework for prompt quality, grounding, and system safetyInfluence our AI platform strategy and architecture as we rapidly scaleWhat We're Looking For3+ years of experience as a Machine Learning Engineer or backend-oriented AI engineerStrong Python skills and familiarity with FastAPI, LangChain, OpenAI SDKExperience deploying models in production using SageMaker, Bedrock, Docker, LambdaComfort with cloud infrastructure ( AWS preferred ) and vector databases (OpenSearch, Pinecone)Understanding of RAG, embeddings, and agent-based system designBasic experience with Snowflake, dbt, and SQL for supporting data workflowsStrong collaboration skills with a bias toward shipping and iterationBonus ExperienceExperience with LLM orchestration frameworks (e.g., LangGraph, Semantic Kernel )Interest in structured context protocols like Model Context Protocol (MCP)Background in SaaS or tools for creative/design professionalsFamiliarity with search relevance optimization and product analyticsWhy Join Programa?Be part of a fast-growing startup with high agency and ambitious goalsBuild AI products that deliver real impact from day oneWork on production infrastructure — not just notebooks and demosCollaborate with a team that values product thinking and fast executionEnjoy a flexible hybrid/remote cultureSeniority level Seniority level Mid-Senior levelEmployment type Employment type Full-timeJob function Job function Engineering and Information TechnologyIndustries Software DevelopmentReferrals increase your chances of interviewing at Programa by 2xSign in to set job alerts for “Machine Learning Engineer” roles. 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