TL;DR
Senior Software Engineer (AI/LLM): Design, build, and deploy AI-powered and LLM-driven features for a medical claim synthesis product with an accent on hybrid machine learning approaches combining LLMs, statistical models, and retrieval-augmented generation. Focus on developing scalable, robust AI/ML systems, prompt engineering, and translating cutting-edge AI research into production-grade solutions.
Location: Onsite in the United States with visa sponsorship available for transfer candidates.
Salary: $185,000–225,000 per year plus bonus and equity.
Company
hirify.global is a fast-growing AI guidance platform company focused on transforming the insurance industry by improving outcomes for injured and disabled workers.
What you will do
- Design, build, and deploy AI-powered and LLM-driven features for claim synthesis including extraction from complex medical documents and human-in-the-loop summarization workflows.
- Develop hybrid machine learning solutions leveraging LLMs, statistical models, and embeddings-based retrieval techniques such as RAG.
- Write clean, scalable, and efficient code while optimizing AI/ML system performance in production.
- Collaborate with data labelers and subject matter experts to evaluate AI outputs and improve model performance.
- Partner with Product teams to iterate rapidly on feedback and deliver impactful features.
- Translate AI/ML research into reliable, maintainable production solutions.
Requirements
- Must have 3+ years of Python development experience and 1+ year building and deploying LLM-powered products.
- Experience with hybrid AI approaches including LLMs, RAG, embeddings, and statistical machine learning.
- Proven ability to build and integrate API services in microservice architectures.
- Strong skills in evaluating LLM outputs and aligning model behavior with business outcomes.
- Expertise in prompt engineering and fine-tuning LLMs for domain-specific applications.
- Location: Must be based in the United States or eligible for visa transfer sponsorship.
Nice to have
- Experience translating state-of-the-art AI/ML research into production code.
- Comfortable collaborating with data labelers and SMEs to improve training data and evaluation.
- Experience building agentic or autonomous AI systems in production.
- Background working with multimodal data such as images and audio.
Culture & Benefits
- Competitive base salary with annual bonus and equity (RSUs).
- Comprehensive medical, dental, vision, disability, life insurance, and 401k matching.
- Paid parental leave and flexible schedules for new parents.
- Catered lunches, happy hours, pet-friendly office, and monthly technology stipend.
- Professional development budget and tuition reimbursement opportunities.
- Visa sponsorship available for eligible candidates in the US.
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