Senior Software Engineer, Applied AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance LLM-driven functionalities on AWS Bedrock and associated models

• Create document OCR and extraction systems for clinical and claims documentation

• Implement summarization and decision support tools for clinical evaluations

• Build Knowledge Bases for retrieving information from plan and policy documents

• Automate workflows to facilitate internal team operations

• Establish and uphold evaluations for deployed AI features while monitoring quality drift

• Address production AI challenges including structured output, failure modes, cost, latency, and deterministic alternatives

• Utilize Claude Code and Kiro as primary coding tools and validate their outputs

• Design, develop, test, and deploy features using the Python/FastAPI back end, MySQL, AWS, Jinja2, Tailwind, and Alpine.js stack

• Collaborate with eligibility, accumulator, and claims data integrations with carriers and pharmacies, including NCPDP D.0 and X12 270/271 transactions

• Implement necessary test and lint gates, treating CI as an integral part of the definition of done

• Manage PHI as a key design constraint

• Compose clear specifications, prompts, and design documentation

• Work in partnership with clinical, client success, member experience, business owners, and engineering stakeholders

• Report directly to the Head of Engineering

• Engage in HR screening, technical exercises, engineering leadership interviews, business leader discussions, video interviews, and an on-site corporate office visit

⛳️ Requirements

• Over 7 years of experience in building production software

• Proficient in Python with experience in production FastAPI or a similar async framework

• Strong SQL skills on MySQL or Postgres

• Familiarity with AWS

• Experience with server-rendered front ends using Jinja2, Tailwind, Alpine.js, or htmx

• Proficient in Linux development and comfortable using a Windows workstation via remote desktop in a secure environment

• Daily utilization of AI coding tools for real work projects

• At least one LLM-powered feature launched to actual users, including evaluation experience

• Practical understanding of prompt and context engineering, retrieval, embeddings, and structured output

• Familiarity with healthcare data exchange standards and file-based integrations: NCPDP D.0, X12 270/271, SFTP, fixed-width and delimited formats, and reconciliation

• Clear communication style with the ability to articulate trade-offs and seek clarification

• Applicants must be currently authorized to work in the United States full-time without employer support, visa transfer support, DSO documentation, or sponsorship now or in the future

• Nice to have: experience in healthcare or other regulated data, including HIPAA, PHI, or SOC 2

• Nice to have: experience with pharmacy benefits, claims, or clinical programs

• Nice to have: experience in self-hosting open-source models such as Llama, Qwen, or Mistral with vLLM, Ollama, or TGI, including GPU sizing, quantization, and private-network serving

• Nice to have: experience in fine-tuning or adapter training on domain-specific data

• Nice to have: knowledge of classical ML for prediction or scoring using scikit-learn or XGBoost and production model monitoring

• A Master's degree in computer science or a related field is a plus

🏝️ Benefits

• Eligible for bonuses

• Medical insurance coverage

• Pharmacy insurance coverage

• Dental insurance coverage

• Vision insurance coverage

• Life insurance coverage

• Stock options

• 401(k) plan with company match

• Paid time off (PTO)

• Dynamic and collaborative work environment

• Opportunity to make a significant impact at a growing Public Benefit Corporation