AI Developer II optimizing data extraction solutions for healthcare policies in a fully remote environment. Leveraging AI technologies and collaboration to enhance data processing capabilities.
Responsibilities
Follow software development best practices: write clean, well-tested code; conduct code reviews; perform testing; manage deployments, etc.
Maintain and improve document parsing pipelines, including proactive issue investigation and identifying opportunities for enhancement.
Implement or enhance solutions that support long-term maintainability and ongoing flexibility.
Collaborate closely and professionally with stakeholders to gather and clarify requirements, and with internal Engineering teams to design and implement solutions to business problems.
Reach out quickly when blocked so that we can work together to remove obstacles.
Provide accurate time estimates, adhere to project timelines, and consistently deliver on schedule.
Requirements
3+ years of software development experience ideally focused on data processing pipelines
1+ year of applied machine learning/natural language processing experience
Bachelor’s degree in computer science/engineering discipline or equivalent experience
Strong programming skills in Python
Excellent debugging, troubleshooting, and problem-solving skills
Knows how to structure applications for long term maintenance and ongoing flexibility, familiar with SOLID design principles
Experience in document understanding, PDF parsing, etc.
Experience with containerization (Docker) and cloud storage (AWS S3)
Nice to have: Database experience such as SQL query, PostgreSQL, etc.
Knowledge of the medical insurance industry and the ability to speak directly to medical professionals.
Benefits
Competitive compensation package including extended health benefits (company-paid)
AI Engineer designing and optimizing AI solutions focusing on LLMs within a hybrid team at KPI. Leading development and deployment of AI - driven strategies using Azure.
Mainframe Developer with strong COBOL, PL1, DB2, VSAM, CICS, JCL, and EASYPLUS skills. Analyze business requirements and translate into technical design and code.
AI Developer Intern leading development and implementation of AI tutors for Universa AI Academy curriculum. Responsible for creating AI - powered learning experiences without human instructors.
Machine Learning/AI Engineer at Warner Music Group developing AI applications for music consumption insights. Collaborating with tech leadership and data scientists for scalable solutions.
Staff Applied AI Engineer developing AI growth solutions for real estate. Collaborating on game - changing products that empower entrepreneurs and drive the industry forward.
AI Engineer role designing and deploying production AI solutions with Azure OpenAI, LangChain, and cloud infrastructure. Requires 8 - 10 years experience in backend engineering, generative AI, and MLOps.
AI Developer/Engineer contract role in Toronto (Hybrid). Requires 6+ years experience with Python, LLM models, Azure AI services, and valid Canadian visa.
AI Software Engineer developing AI - driven features for observability tools in remote - first culture at Grafana Labs. Collaborating with teams to enhance infrastructure through intelligent automation.