Senior Software Engineer; AI​/LLM

About Us: Evolution

IQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world‑class talent who want to help build and scale internally, and transform the insurance space.

Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!

The Adventure: We’re the leading AI Guidance Platform in the insurance industry today, working with some of the largest insurance carriers in the US and expanding globally. We are growing incredibly fast and have a nearly 100 % success record in converting pilots to production deployments. You will be designing on a shared, unified platform that can scale across multiple lines of business.

Our engineering culture values simplicity, core engineering principles, quality, honesty, transparency and strong collaboration. If you’re excited to work on a fast‑moving enterprise engineering team using the latest technologies at high scale, we want to meet you.

About You: As an ambitious Senior AI/LLM Engineer, you will play a key role in advancing our industry‑leading medical synthesis product. You take strong ownership of your work and have a proven track record of driving projects end‑to‑end, from ideation through deployment. Thriving in a fast‑paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval‑augmented generation (RAG) with embeddings‑based models to deliver better, more reliable outcomes for our users.

• Design, build, and deploy AI‑powered and LLM‑driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human‑in‑the‑loop summarization workflows.
• 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.
• Partner with Product teams to rapidly iterate on feedback and deliver impactful features.
• Translate cutting‑edge AI/ML research and novel techniques into production‑grade, reliable, and maintainable solutions that operate seamlessly in live customer environments.

• 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) in fast‑paced, professional environments.
• Hands‑on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval‑augmented generation (RAG), and embeddings‑based models, including vector search and similarity measures.
• 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, with a focus on aligning model behavior with real‑world business and user outcomes.
• Expertise in prompt engineering and fine‑tuning of large language models for domain‑specific applications.

• 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).

The base salary range is $185‑225 K, with flexibility depending on a candidate’s background and experience. An annual…