Note: The job is a remote job and is open to candidates in USA. EvolutionIQ builds technology for insurance claims teams. The Senior AI / ML Engineer will advance its medical synthesis product by leading AI/ML projects end-to-end and developing reliable LLM-driven features and hybrid machine learning solutions for complex medical documents.
Responsibilities
- Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization
- Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact
- 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 closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback
- Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions
- Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations
- Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments
Skills
- You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration
- You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product
- 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
- 5-8+ 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
- Proven experience leading technical projects and driving them from concept through production deployment
- Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability
- 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
- Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders
- 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)
- Experience mentoring engineers or providing technical leadership across projects or teams
Benefits
- An annual bonus plan
- Company equity plan (RSUs)
- Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
- Additional family, wellness, and pet benefits
- Paid time off and sick leave
- 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
- A flexible schedule for new parents returning to work
- Catered lunches
- Happy hours
- Pet-friendly spaces
- Monthly technology stipend
- $1,000/year for each employee for professional development
- Tuition reimbursement
- Open to sponsoring candidates currently in the U.S. who need to transfer their active visa
Company Overview
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