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 (SageMaker, AWS Lambda, OpenSearch, 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 FastAPI, LangChain, OpenAI SDK
Experience deploying models in production using SageMaker, Bedrock, Docker, Lambda
Comfort with cloud infrastructure ( AWS preferred ) and vector databases (OpenSearch, 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., LangGraph, Semantic Kernel )
Interest in structured context protocols like Model Context Protocol (MCP)
Background in SaaS 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
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