high scale, we want to meet you. - Senior AI/ML Software Engineer (LLMs)
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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 • 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)
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
Benefits
• 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. • $185-235K, • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. • Well-Being: • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. • Office Life: • Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. • Growth & Training: • 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. • Sponsorship:
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