EvolutionIQ · 13 hours ago
Senior AI/ML Software Engineer (LLMs)
United States
Full-time
Remote
Mid, Senior Level
$175K/yr - $225K/yr
3+ years expEvolutionIQ is a leading AI Guidance Platform in the insurance industry, seeking to transform claims handling through innovative technology. The Senior AI/ML Software Engineer will design and deploy AI-powered features for their claim synthesis product, focusing on improving system accuracy and collaborating with cross-functional teams.
Artificial Intelligence (AI)Commercial InsuranceFraud DetectionInsuranceInsurTechRisk Management
Responsibilities
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
Qualification
Required
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
Preferred
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)
Benefits
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).
We offer a flexible schedule for new parents returning to work.
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
$1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
Company
EvolutionIQ
EvolutionIQ is an AI company that offers claims guidance solutions for insurance companies.
51-200 employees
H1B Sponsorship
EvolutionIQ has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (4)
Funding
Current Stage
Growth StageTotal Funding
$63.45MKey Investors
Brewer Lane VenturesFirst Round Capital
2024-12-20Acquired
2024-08-14Series C· $20.15M
2023-06-22Series Unknown· $10.31M
Leadership Team
Michael Saltzman
Co-Founder, Co-CEO
Recent News
MarketScreener
2025-10-31
Company data provided by crunchbase