Senior Software Engineer, AI/ML

ICON is looking for a Senior Software Engineer, AI/ML to join the BuildOS team. BuildOS is ICON's software platform for residential construction. The team applies modern machine learning to architectural design and construction for the homes of the future. This role reports to the Senior Director of Software and is based in Austin, TX.

Responsibilities

• Design, build, and maintain production‑grade AI systems and services.
• Develop and integrate LLM‑powered features using RAG, prompt engineering, and multi‑agent frameworks to solve real‑world problems in the construction domain.
• Build tools to radically decrease the cost and time needed to design beautiful homes.
• Build tools to let home buyers visualize, explore, and choose their ideal home.
• Build digital design tools that take full advantage of 3D printing’s capabilities.
• Explore the use of ongoing AI research for all of ICON’s activities.
• Translate business problems into deployed production solutions in the AI space.
• Write clean, well‑tested, well‑documented code and actively participate in design and code reviews.
• Build NLP pipelines for document understanding, information extraction, and reasoning over regulatory content.
• Stay current with advancements in AI/ML and evaluate new tools and approaches for applicability to ICON's product areas.

Minimum Qualifications

• 5+ years of software engineering experience, with 3+ years building and shipping AI/ML‑powered products in production environments.
• Strong software engineering fundamentals — system design, data structures, algorithms, testing, and CI/CD.
• Familiarity with popular image and text deep learning architectures.
• Hands‑on experience with LLMs and modern AI patterns including RAG, function calling, and multi‑agent orchestration.
• Experience designing and operating scalable backend systems and APIs.
• Bachelor's degree in computer science, computer engineering, mathematics, or an equivalent technical degree and industry experience.

Preferred Skills and Experience

• Advanced degree in mathematics, data science, or AI/Machine Learning.
• Contributions or experience with generative neural networks (e.g., StyleGAN, GPT‑3, StableDiffusion, etc.).
• Experience with the full stack of training and deploying deep learning models.
• Experience with 3D printing and/or robotics.
• Background in art or architecture.
• Proficiency in TypeScript and experience with relevant libraries (e.g., LangChain.js and the various provider SDKs).
• Proficiency in Python and experience with relevant frameworks (e.g., FastAPI, LangChain, LlamaIndex, PyTorch).

ICON is an equal opportunity employer committed to fostering an innovative, inclusive, diverse and discrimination‑free work environment. Employment with ICON is based on merit, competence, and qualifications, and is administered without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability, marital status, veteran status, or any other legally protected class in accordance with applicable federal and state laws. Consistent with these laws, ICON will make reasonable accommodations for qualified individuals with disabilities.