Machine Learning Engineer – Applied Ai Systems

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 Do Design and ship end-to-end ML-powered features across search, recommendations, and automation Build and maintain LLM-based agents that interact with structured data, APIs, and user workflows Own model deployment and infrastructure (Sage Maker, AWS Lambda, Open Search, Bedrock) Develop embedding pipelines and monitor vector search relevance and performance Work on context-aware RAG systems to enable smarter AI assistants Build and scale data ingestion and enrichment pipelines (e.g., product data, usage signals) Contribute to dbt models that support ML pipelines and business reporting Collaborate 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 safety Influence our AI platform strategy and architecture as we rapidly scale What We're Looking For 3+ years of experience as a Machine Learning Engineer or backend-oriented AI engineer Strong Python skills and familiarity with Fast API, Lang Chain, Open AI SDK Experience deploying models in production using Sage Maker, Bedrock, Docker, Lambda Comfort with cloud infrastructure (AWS preferred ) and vector databases (Open Search, Pinecone) Understanding of RAG, embeddings , and agent-based system design Basic experience with Snowflake, dbt , and SQL for supporting data workflows Strong collaboration skills with a bias toward shipping and iteration Bonus Experience Experience with LLM orchestration frameworks (e.g., Lang Graph , Semantic Kernel ) Interest in structured context protocols like Model Context Protocol (MCP) Background in Saa S or tools for creative/design professionals Familiarity with search relevance optimization and product analytics Why Join Programa? Be part of a fast-growing startup with high agency and ambitious goals Build AI products that deliver real impact from day one Work on production infrastructure — not just notebooks and demos Collaborate with a team that values product thinking and fast execution Enjoy a flexible hybrid/remote culture Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Programa by 2x Sign in to set job alerts for "Machine Learning Engineer" roles.
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