Software Developer, Mercalis

Responsibilities:

• Participate in team tasks and provide technical leadership to the team. Including, but not limited to writing robust code with comprehensive tests, code reviews, code deployments, data maintenance tasks, architecture discussions, and design, and mentorship. 
• Keep updated with the latest technologies in ML/NLP/AI and write production-level code to apply document understanding algorithms/models developed internally and from the community to solve our business problems. 
• Actively participate in the complete data science lifecycle, from business understanding and problem framing, model development and integration, to model deployment and quality monitoring in production. 
• Work closely and professionally with different stakeholders to identify opportunities for the development of new data extraction pipelines or improvement in existing pipelines. 
• Contribute to projects, adhere to project timelines, and deliver solutions on time. 
• Assist with technical incidents by participating in troubleshooting and problem-solving activities, post-incident discussions/analysis, precaution implementation, etc. 
• Assist as needed with technical reviews of code samples and in technical interviews. 
• When being in a technical lead role, collaborate with teams outside of Engineering to ensure that all stakeholders understand project goals, requirements, and realistic timelines. 

Requirements & Skills:

• 5+ years of hands-on experience with machine learning/natural language processing/large language models. 
• Bachelor’s degree in computer science/engineering discipline or equivalent experience. 
• Strong programming skills in Python, and SQL. 
• Familiar with modern ML/LLM tools, such as TensorFlow, PyTorch, Hugging Face, RAG, LangChain, etc. 
• Excellent debugging, troubleshooting, and problem-solving skills. 
• Knows how to structure applications for long-term maintenance and ongoing flexibility. 
• Skills in designing scalable systems. Understands common architecture technologies such as message queues. 
• Great communication skills (written and verbal) and be a fast learner. 
• Experience writing and reading RESTful APIs. 
• Database experience such as PostgreSQL. 
• Experience communicating directly with customers to synthesize their requirements and align them with business goals. 

Good to Have

• Expertise in document understanding, information retrieval, PDF document parsing, or a related domain. 
• Experience working with cloud technology stack (e.g. AWS). 
• Experience in LLM agentic design patterns. 
• Knowledge of the medical insurance industry and the ability to speak directly to medical professionals. 
• Knowledge of distributed design patterns is an asset. 
• Mentored developers to raise the quality of the organization.