Job Description

We are a fast-growing SaaS company on a mission to propel the restoration industry forward by empowering restoration companies with the technology they need to scale and grow their businesses.

Recently voted a Top 10 Start-up in Chicago by LinkedIn and a Top Start-up by Built In, and backed by Y Combinator, this is an exciting time to join our team as we enter a stage of rapid growth and product expansion.

We’re looking for an AI / ML Engineer to help us build production-grade AI systems that power real operational workflows across our platform. This role is hands-on and highly impactful — you’ll work on NLP, LLM-powered features, AI-driven automations, and scalable machine learning systems that are actively used by customers.

You’ll collaborate closely with product, engineering, and leadership, owning AI features end-to-end — from data and models to APIs and production deployment — while helping shape the future of AI at Albi.

Requirements

Key Responsibilities:

• Design, build, and deploy applied AI and ML features used in production environments
• Develop NLP and LLM-based systems (classification, extraction, summarization, QA, 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 retrieval-augmented generation (RAG) pipelines
• Train, fine-tune, and optimize domain-specific machine learning models
• Improve model performance across accuracy, latency, reliability, and cost
• Deploy and monitor ML systems in cloud environments
• Collaborate closely 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

Requirements:

• 3+ years of professional experience in AI / ML or software engineering roles
• Strong proficiency in Python
• Hands-on experience with machine learning, NLP, or LLM-based systems
• Experience deploying ML models or AI services into production
• Experience building and integrating RESTful APIs
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Understanding of CI/CD pipelines and production reliability
• Strong problem-solving skills and a product-oriented mindset
• Excellent collaboration and communication skills

Benefits

We’re driven by purpose, fueled by high energy, and backed by venture funding. We’re unapologetically ambitious and make sure that everyone has the support they need to succeed.

We offer a competitive and comprehensive benefits package, including:

• Competitive salary (based on experience and location)
• Generous PTO
• Medical, dental, and vision insurance coverage
• 401(k) plan
• High ownership and autonomy over your work
• Collaboration with a team of smart, kind, and motivated engineers
• An environment where your ideas are valued and growth is prioritized
• Regular team events and company off-sites
• Equipment budget to help you do your best work
• Ongoing learning, mentoring, and career development opportunities

Your journey is your own — and we’re here to help you thrive, no matter your starting point.