Software Engineer, AI Specialist

17 hours ago


Austin, Texas, United States Document Crunch Full time
Job Title: Software Engineer, AI

Document Crunch is seeking a mid-level Software Engineer, AI to join our 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.

Key Responsibilities
  • Lead AI/ML Strategy and Implementation
  • 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 design and deploy new workflows as needed
Advanced AI/ML Research and Development
  • 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
  • Bachelor's in Computer Science, Machine Learning, or a related field
  • Proficiency in Python
  • Strong understanding of NLP algorithms, including transformer architectures and large language models
  • Extensive experience with 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

We 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.


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