Document Crunch
Software Engineer, AI
Document Crunch, New York, New York, United States,
Document Crunch is seeking a mid-level
Software Engineer, AI
to join our amazing, tight-knit team.We are looking for a 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 WarmheartedOur 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 InspiredWe 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-MindedLife 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 ImplementationUnderstand and execute the company's AI/ML roadmap, aligning with business objectivesDesign, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilitiesLead the integration of cutting-edge AI/ML solutions into existing products and servicesWork 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 neededAdvanced AI/ML Research and DevelopmentSpearhead research initiatives on state-of-the-art AI/ML algorithms and technologiesDesign and conduct experiments to solve challenging problems in document analysis and automationWork independently to ideate, research, prototype and experiment with novel RAG stack solutionsML Architecture and Systems DesignArchitect scalable, efficient, and maintainable ML systems and pipelinesOptimize ML system integration performance and resource utilizationDesign and implement ML monitoring and observability systemsTeam Leadership and MentorshipServe as an experienced source of ML knowledge to less experienced or non-technical cross functional team membersFoster a culture of innovation, continuous learning, and best practices within the teamCollaborate with cross-functional leaders to align AI initiatives with product and business strategiesContinuous Improvement and InnovationStay at the forefront of AI/ML advancements and industry trendsIdentify and evaluate new technologies and methodologies for potential adoptionDrive the adoption of best practices in AI systems evaluation and benchmarkingRequirementsSkills and Qualifications
EducationBachelor’s in Computer Science, Machine Learning, or a related fieldTechnical SkillsProficiency in PythonStrong understanding of NLP algorithms, including transformer architectures and large language modelsExtensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologiesAdvanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML servicesExpertise in LLM prompt engineering, fine-tuning, and evaluationExperienceMultiple years of professional experience in AI/ML related engineering rolesProven track record of leading complex AI/ML projects from conception to productionExtensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scaleDemonstrated ability to translate business requirements into technical solutionsLeadership and Soft SkillsStrong leadership and team management skillsExcellent problem-solving and analytical abilitiesOutstanding communication skills, able to explain complex technical concepts to diverse audiencesProven ability to influence and drive decision-making across teams and departmentsPreferred Qualifications
Experience in the construction or legal tech industryContributions to open-source ML projects or research publicationsExperience in AI/ML research and development, with a focus on NLP and RAG at scaleHands-on experience leading the integration of ML models into production environmentsWe are currently hiring in Austin, TX and Atlanta, GA. While we are a remote first workplace, we want Crunchers in these locations to better facilitate periodic in-person meetings, get-togethers and training.BenefitsCompetitive salary and benefits package.Close to the ground floor of an incredibly high-growth businessSubstantial internal growth opportunities and emphasis on personal & professional developmentGenerous paid time off policyWorld class medical, dental, and vision benefits401kParticipation in the employee stock option programOpen-minded and collaborative work environment with a focus on resultsWe value diversity, equity, and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.
Software Engineer, AI
to join our amazing, tight-knit team.We are looking for a 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 WarmheartedOur 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 InspiredWe 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-MindedLife 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 ImplementationUnderstand and execute the company's AI/ML roadmap, aligning with business objectivesDesign, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilitiesLead the integration of cutting-edge AI/ML solutions into existing products and servicesWork 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 neededAdvanced AI/ML Research and DevelopmentSpearhead research initiatives on state-of-the-art AI/ML algorithms and technologiesDesign and conduct experiments to solve challenging problems in document analysis and automationWork independently to ideate, research, prototype and experiment with novel RAG stack solutionsML Architecture and Systems DesignArchitect scalable, efficient, and maintainable ML systems and pipelinesOptimize ML system integration performance and resource utilizationDesign and implement ML monitoring and observability systemsTeam Leadership and MentorshipServe as an experienced source of ML knowledge to less experienced or non-technical cross functional team membersFoster a culture of innovation, continuous learning, and best practices within the teamCollaborate with cross-functional leaders to align AI initiatives with product and business strategiesContinuous Improvement and InnovationStay at the forefront of AI/ML advancements and industry trendsIdentify and evaluate new technologies and methodologies for potential adoptionDrive the adoption of best practices in AI systems evaluation and benchmarkingRequirementsSkills and Qualifications
EducationBachelor’s in Computer Science, Machine Learning, or a related fieldTechnical SkillsProficiency in PythonStrong understanding of NLP algorithms, including transformer architectures and large language modelsExtensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologiesAdvanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML servicesExpertise in LLM prompt engineering, fine-tuning, and evaluationExperienceMultiple years of professional experience in AI/ML related engineering rolesProven track record of leading complex AI/ML projects from conception to productionExtensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scaleDemonstrated ability to translate business requirements into technical solutionsLeadership and Soft SkillsStrong leadership and team management skillsExcellent problem-solving and analytical abilitiesOutstanding communication skills, able to explain complex technical concepts to diverse audiencesProven ability to influence and drive decision-making across teams and departmentsPreferred Qualifications
Experience in the construction or legal tech industryContributions to open-source ML projects or research publicationsExperience in AI/ML research and development, with a focus on NLP and RAG at scaleHands-on experience leading the integration of ML models into production environmentsWe are currently hiring in Austin, TX and Atlanta, GA. While we are a remote first workplace, we want Crunchers in these locations to better facilitate periodic in-person meetings, get-togethers and training.BenefitsCompetitive salary and benefits package.Close to the ground floor of an incredibly high-growth businessSubstantial internal growth opportunities and emphasis on personal & professional developmentGenerous paid time off policyWorld class medical, dental, and vision benefits401kParticipation in the employee stock option programOpen-minded and collaborative work environment with a focus on resultsWe value diversity, equity, and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.