11 - 50 employees
π€ Artificial Intelligence
π Compliance
π€ B2B
π₯ Funding within the last year
π° $9M Series A on 2024-02
September 29
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
11 - 50 employees
π€ Artificial Intelligence
π Compliance
π€ B2B
π₯ Funding within the last year
π° $9M Series A on 2024-02
β’ Document Crunch seeks a mid-level Software Engineer, AI to join our team. β’ Expertise in Retrieval-Augmented Generation, AI/ML research, and model training required. β’ Responsibilities include researching, developing, and deploying AI/ML services to enhance functionality and efficiency.
β’ Bachelorβs in Computer Science, Machine Learning, or a related field β’ Proficiency in Python β’ Strong understanding of NLP algorithms, including transformer architectures and large language models β’ Extensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologies β’ Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services β’ Expertise in LLM prompt engineering, fine-tuning, and evaluation β’ Multiple years of professional experience in AI/ML related engineering roles β’ Proven track record of leading complex AI/ML projects from conception to production β’ Extensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scale β’ Demonstrated ability to translate business requirements into technical solutions β’ Strong leadership and team management skills β’ Excellent problem-solving and analytical abilities β’ Outstanding communication skills, able to explain complex technical concepts to diverse audiences β’ Proven ability to influence and drive decision-making across teams and departments β’ Experience in the construction or legal tech industry β’ Contributions to open-source ML projects or research publications β’ Experience in AI/ML research and development, with a focus on NLP and RAG at scale β’ Hands-on experience leading the integration of ML models into production environments
β’ Competitive salary and benefits package. β’ Close to the ground floor of an incredibly high-growth business β’ Substantial internal growth opportunities and emphasis on personal & professional development β’ Generous paid time off policy β’ World class medical, dental, and vision benefits β’ 401k β’ Participation in the employee stock option program β’ Open-minded and collaborative work environment with a focus on results
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