Senior Software Engineer, AI

Document Crunch is seeking a Senior Software Engineer, AI to join our amazing, tight-knit team. 

We are looking for a Senior Software Engineer, AI with expertise in Retrieval-Augmented Generation (RAG), AI/ML research, model training/fine-tuning, and ML service(s) integration. The ideal candidate will have a demonstrated history in machine learning, machine learning pipelines / infrastructure, natural language processing, prompt engineering, software engineering and some general devops / infrastructure. You will be responsible for researching, designing, developing, and deploying AI/ML services, and integrating them into our existing systems to enhance the functionality and efficiency of our products.

What makes Document Crunch a great place to work? 

We’re cutting-edge innovators. We’re changing an industry. We’re making a real difference. Document Crunch builds AI-powered software tools for the built world. As the construction industry’s only document compliance platform, we simplify complex construction contracts and project documents, identifying critical risk provisions and providing teams with real-time guidance to make great decisions and comply with contractual obligations throughout the project lifecycle. We empower the industry, make it more efficient, reduce risks, and protect profits. Our company is people-focused and values-driven. We know that to achieve great things, you need a great team, and our “CRUNCHERS” go above and beyond in everything they do. In addition, everyone on our team stays true to our core values, a must if you’d like to become a Cruncher. 

We Are Warmhearted

Our success is powered entirely by our people who are real and approachable. We foster an environment that is warm, fun and welcoming for everyone. 

We Are Inspired

We care deeply about our mission and are inspired by our potential. If it was easy, everybody would do it, but we are striving for greatness. We take pride in being owners in this journey.

We Are Growth-Minded

Life is short and we want to make our time count. We invest in growth—personally and professionally. We never stop chasing our why.

Key Responsibilities

Lead AI/ML Strategy and Implementation 

• Help guide and execute the company's AI/ML roadmap, aligning with business objectives 

• Research, design, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilities 

• Lead the integration of cutting-edge AI/ML solutions into existing products and services

• Work closely with DevOps engineers and cross functional teams to integrate AI/ML solutions into existing workflows or be able to design and deploy new workflows as needed 

Advanced AI/ML Research and Development 

• Design and spearhead research initiatives on state-of-the-art AI/ML algorithms and technologies 

• Design and conduct experiments to solve challenging problems in document analysis and automation 

• Work independently to ideate, research, prototype and experiment with novel RAG stack solutions 

ML Architecture and Systems Design 

• Architect scalable, efficient, and maintainable ML systems and pipelines 

• Optimize ML system integration performance and resource utilization 

• Design and implement ML monitoring and observability systems 

Team Leadership and Mentorship 

• Serve as an experienced source of ML knowledge to less experienced or non-technical cross functional team members 

• Foster a culture of innovation, continuous learning, and best practices within the team 

• Collaborate with cross-functional leaders to align AI initiatives with product and business strategies 

Continuous Improvement and Innovation 

• Stay at the forefront of AI/ML advancements and industry trends 

• Identify and evaluate new technologies and methodologies for potential adoption 

• Drive the adoption of best practices in AI systems evaluation and benchmarking 

Requirements

Skills and Qualifications

Education 

• Bachelor’s, Master's or PhD in Computer Science, Machine Learning, or a related field 

Technical Skills 

• Expert proficiency in Python 

• Expert understanding of NLP algorithms, including transformer architectures and large language