Senior AI/ML Engineer (LLMs)

• 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

Skills 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) 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

Bonus Points:

• 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)

Work-life, Culture & Perks:

• Compensation: The base salary range is $185-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. - Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. - Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. - Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. - Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. - Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. *EvolutionIQ appreciates your interest in our company as a place of employment.