Lead Software Engineer

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Take ownership of AI products from their initial conception to MVP, pilot, and readiness for production.

• Define both product and technical strategies while making practical scope decisions.

• Quickly build and launch proofs of concept and functional MVPs.

• Utilize feedback, experimentation, and real-world usage data to validate assumptions and enhance product functionalities.

• Collaborate with product managers, designers, clinicians, and data stakeholders to convert care delivery workflows into AI features.

• Make and communicate architectural and technological decisions while balancing speed, scalability, maintainability, and operational risk.

• Establish nimble engineering practices that facilitate rapid delivery without sacrificing quality.

• Ensure that AI systems adhere to HIPAA and Humana’s Responsible AI standards.

• Engage in AIRB and Responsible AI Council review processes as applicable.

• Standardize software quality assurance protocols.

• Supervise testing and debugging processes and develop necessary fixes.

• Investigate complaints and recommend modifications to resolve intricate software issues.

• Provide guidance to executives on functional strategies.

• Operate with minimal supervision, exercising independent judgment on complex matters.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• Over 8 years of experience in software engineering.

• Extensive hands-on experience with large language models and orchestration frameworks such as LangChain or LlamaIndex.

• Strong expertise in Python, TypeScript, and modern ML tools like Hugging Face or PyTorch.

• Experience in designing and deploying RAG pipelines and vector search systems in a production environment.

• Familiarity with model fine-tuning techniques, including LoRA, RLHF, or instruction tuning.

• Experience in designing and constructing multi-agent AI systems, including agent orchestration, tool usage, and sandboxed execution environments.

• Proven end-to-end ownership of complex AI systems from architecture to production operation.

• Understanding of HIPAA regulations and secure management of protected health information (PHI).

• Excellent written and verbal communication skills for both technical and non-technical audiences.

• Practical experience with AI-assisted development tools and LLM coding harnesses such as Claude Code, Pi Agent, Cursor, or Codex.

• Experience working alongside Product Management to influence product direction, collect requirements, and lead scalable, customer-centric applications.

• Ability to swiftly build prototypes utilizing agent coding harnesses.

• A dedicated workspace without ongoing interruptions to safeguard member PHI/HIPAA information.

• Home internet connection with a minimum of 25 Mbps download and 10 Mbps upload speed.

• Preferred: Experience in healthcare, clinical informatics, or highly regulated sectors.

• Preferred: Experience in designing and implementing custom LLM and agent evaluation frameworks.

• Preferred: Exposure to clinical NLP, medical coding, or EHR/FHIR data standards.

• Preferred: Experience managing AI systems at scale on AWS, Azure, or GCP.

🏝️ Benefits

• Bonus incentive plan based on individual and/or company performance.

• Medical, dental, and vision insurance benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability benefits.

• Long-term disability benefits.

• Life insurance coverage.

• Opportunities for occasional travel to Humana offices for training or meetings.