Website Evolutioniq
We guide the path to claims excellence. You make the difference.
Join a fast-growing AI company transforming the insurance industry with advanced machine learning and large language model technologies. This role is ideal for engineers passionate about building production-ready AI systems that deliver real-world impact at scale.
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About the Company
EvolutionIQ develops advanced AI solutions that help insurance providers improve claims processing accuracy, fairness, and efficiency. Its platform is trusted by leading insurers and is designed to support better outcomes for individuals dealing with injury or illness.
Recognized as one of the best workplaces in recent years, EvolutionIQ combines cutting-edge technology with a strong focus on innovation, collaboration, and employee growth.
About the Role
As a Senior AI/ML Engineer specializing in LLMs, you will design and deploy intelligent systems that extract, analyze, and summarize complex data—particularly within medical and insurance workflows. You will work on high-impact features that combine large language models, statistical machine learning, and retrieval-based systems.
This is a hands-on engineering role where you will take ownership from concept to production, working in a fast-paced environment with cutting-edge AI technologies.
Key Responsibilities
AI/ML Development & Deployment
- Design, build, and deploy AI-powered features using large language models (LLMs)
- Develop systems for extracting insights from complex documents and generating structured outputs
- Implement hybrid AI approaches combining LLMs, embeddings, and retrieval techniques (RAG)
System Optimization & Scalability
- Write clean, efficient, and scalable Python code for production systems
- Optimize performance and reliability of AI/ML pipelines
- Ensure systems operate effectively at scale across enterprise environments
Collaboration & Continuous Improvement
- Work with product teams to iterate quickly based on user feedback
- Collaborate with data experts and subject matter specialists to improve model performance
- Evaluate AI outputs and refine systems to align with business outcomes
Innovation & Research Application
- Translate cutting-edge AI/ML research into production-ready solutions
- Apply prompt engineering and fine-tuning techniques for domain-specific use cases
- Explore new approaches to improve system accuracy and robustness
Requirements / Skills
- 3+ years of experience developing production-grade Python applications
- At least 1 year of hands-on experience building systems with large language models (LLMs)
- Strong understanding of machine learning techniques and hybrid AI systems
- Experience with retrieval-augmented generation (RAG), embeddings, and vector search
- Ability to design and integrate APIs within scalable architectures
- Strong skills in evaluating AI model performance and outputs
- Experience with prompt engineering and model optimization
Preferred Qualifications
- Experience deploying AI systems in production environments
- Familiarity with multimodal AI (text, image, audio)
- Experience building autonomous or agent-based AI systems
- Background in translating research into real-world applications
Work Environment / Benefits
- Remote-first flexibility or option to work from New York
- Competitive salary ($185,000 – $235,000) plus bonus and equity
- Comprehensive health benefits including medical, dental, and vision
- 401(k) matching and additional wellness benefits
- Generous paid time off and parental leave policies
- Annual professional development budget and tuition support
- Collaborative, high-growth environment with cutting-edge AI work
How to Apply
Apply directly through the official job page:
https://job-boards.greenhouse.io/evolutioniq/jobs/5751888004
Note: Applications are handled on the employer’s official website. WorkinVirtual is not responsible for the hiring process.