Senior AI/ML Software Engineer (LLMs)

TL;DR

Senior AI/ML Software Engineer (LLMs): Designing, building, and deploying AI-powered and LLM-driven features for claim synthesis product with an accent on robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows. Focus on translating cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions.

Location: Must be based in the US

Salary: $175-225K

Company

hirify.global’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient.

What you will do

• Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product.
• Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness.
• Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production.
• Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance.
• Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions.

Requirements

• 3+ years of experience writing performant Python code following modern best practices.
• Minimum 1 year of experience building and deploying products powered by large language models (LLMs).
• Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models.
• Proven ability to build and integrate API services within service-oriented or microservice architectures.
• Strong skills in evaluating and interpreting LLM outputs and AI model predictions.
• Must be based in the US

Nice to have

• Experience translating state-of-the-art AI/ML research into production code.
• Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes.
• Experience building agentic or autonomous AI systems in production.
• Background working with multimodal data (e.g., images, audio).

Culture & Benefits

• Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
• Paid time off and sick leave, 100% paid parental leave.
• Flexible schedule for new parents returning to work.
• Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• $1,000/year for each employee for professional development.