Fullstack Software Engineer -Automated Resolution

Responsibilities

• Design and ship LLM-powered agents with tools, retrieval, and context pipelines that can reason over contracts, claims, and member history.
• Enable AI agents to interoperate by handing off conversations, sharing context, and calling one another’s capabilities.
• Bring automated resolution to new channels, beginning with real-time AI phone support.
• Build evaluation datasets, automated evaluations, and quality monitoring for agent systems.
• Measure and improve resolution rate, answer quality, and member satisfaction through production iteration on prompts, models, and architecture.
• Partner with care experts and product teams to identify additional topics that AI can resolve.
• Mentor engineers and lead technical initiatives.

Requirements

• 5+ years of experience building scalable software systems.
• Strong backend experience; Python experience is a plus.
• Hands-on experience building and ideally shipping production products with LLMs, including agents, tool calling, RAG, prompt engineering, and evaluation.
• An evaluation mindset and the ability to measure and improve AI system quality.
• Interest in healthcare technology and alignment with Alan’s mission around access to care.
• Curiosity, high potential, pragmatism, and willingness to continue learning.

Benefits

• Remote work flexibility with an emphasis on in-person collaboration.
• Must be legally eligible to work in France, Belgium, or Spain.
• A stimulating work environment, company perks, and an innovative working culture.
• Opportunity to work on applied AI systems serving more than one million members in a regulated, high-stakes domain.