Senior Software Engineer, AI

September 29

Apply Now

Receive Emails with Similar Jobs

Document Crunch

WebsiteLinkedInAll Job Openings

11 - 50

🔥 Funding within the last year

💰 $9M Series A on 2024-02

Description

• Document Crunch is seeking a Senior Software Engineer, AI. • The ideal candidate will have expertise in Retrieval-Augmented Generation (RAG), AI/ML research, and model integration. • You will be responsible for researching, designing, and deploying AI/ML services. • We empower the construction industry by identifying critical issues in contracts and documents.

Requirements

• Bachelor’s, Master's or PhD in Computer Science, Machine Learning, or a related field • Expert proficiency in Python • Expert understanding of NLP algorithms, including transformer architectures and large language models • Extensive experience and understanding of RAG systems, knowledge graphs, vector databases, and semantic search technologies • Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services • Expertise in LLM prompt engineering, fine-tuning, and evaluation • Multiple years of professional experience in AI/ML related engineering roles • Proven track record of leading complex AI/ML projects from conception to production • Extensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scale • Demonstrated ability to translate business requirements into technical solutions • Strong leadership and team management skills • Excellent problem-solving and analytical abilities • Outstanding communication skills, able to explain complex technical concepts to diverse audiences • Proven ability to influence and drive decision-making across teams and departments • Experience in the construction or legal tech industry • Contributions to open-source ML projects or research publications • Experience in AI/ML research and development, with a focus on NLP and RAG at scale • Hands-on experience leading the integration of ML models into production environments

Benefits

• Competitive salary and benefits package. • Close to the ground floor of an incredibly high-growth business • Substantial internal growth opportunities and emphasis on personal & professional development • Generous paid time off policy • World class medical, dental, and vision benefits • 401k • Participation in the employee stock option program • Open-minded and collaborative work environment with a focus on results