AI / ML Engineer (Applied AI & Automations)

We are a fast-growing SaaS company dedicated to advancing the restoration industry by providing restoration businesses with innovative technology to help them scale and grow. Recognized as a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and supported by Y Combinator, we are entering an exciting phase of rapid growth and product expansion. We are seeking an AI/ML Engineer to develop production-grade AI systems that drive real operational workflows across our platform. This hands-on role involves working with NLP, large language model (LLM)-powered features, AI-driven automations, and scalable machine learning systems actively used by our customers. You will collaborate closely with product teams, engineers, and leadership, owning AI features end-to-end—from data and model development to API creation and production deployment—while shaping the future of AI at our company.

Key Responsibilities:
- Design, build, and deploy applied AI and machine learning features in production environments
- Develop NLP and LLM-based systems including classification, extraction, summarization, question answering, and retrieval-augmented generation (RAG)
- Build and maintain AI-driven workflows and automations integrated with core product logic
- Design and implement backend services and APIs to support AI inference and data processing
- Work with embeddings, vector search, and RAG pipelines
- Train, fine-tune, and optimize domain-specific machine learning models
- Enhance model performance focusing on accuracy, latency, reliability, and cost efficiency
- Deploy and monitor ML systems in cloud environments
- Collaborate with product managers and engineers to deliver impactful AI features
- Participate in architectural decisions, code reviews, and technical planning
- Contribute to testing, monitoring, and continuous improvement of AI systems in production

Required Qualifications:
- Minimum of 3 years of professional experience in AI/ML or software engineering roles
- Strong proficiency in Python programming
- Hands-on experience with machine learning, NLP, or LLM-based systems
- Proven experience deploying ML models or AI services into production environments
- Experience building and integrating RESTful APIs
- Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform
- Understanding of CI/CD pipelines and production reliability best practices
- Strong problem-solving skills with a product-oriented mindset
- Excellent collaboration and communication abilities

Preferred Qualifications and Benefits:
We are driven by purpose, energized by ambition, and supported by venture funding. Our culture emphasizes high ownership, autonomy, and support for every team member’s success.

We offer a competitive and comprehensive benefits package, including:
- Competitive salary based on experience and location
- Generous paid time off
- Medical, dental, and vision insurance coverage
- 401(k) retirement plan
- High ownership and autonomy over your work
- Collaboration with a team of talented, kind, and motivated engineers
- An environment that values your ideas and prioritizes your growth
- Regular team events and company off-sites
- Equipment budget to support your productivity
- Ongoing learning, mentoring, and career development opportunities

Your career journey is unique, and we are committed to helping you thrive at every stage. Join us to make a meaningful impact with cutting-edge AI technology in a rapidly growing company.