Software Engineer, DataAI

Imagine if you had the skills knowledge and teammates to both understand the root of the worlds most pressing problems and build the technologies and companies best positioned to solve them. RA Capital has done exactly that for more than two decades backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the worlds precious resources.

RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexiblyseed to IPO and beyond anywhere in the worldwith $10 B under management and a culture that prizes curiosity rigor and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms RA Capitals large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people.

If you live for first-principles problem-solving with great colleagues thrive on complexity and want to do meaningful work that ripples across industries and ecosystems youll feel at home at RA Capital. Here questions are welcomed ideas are tested and victories are shared. Even our lawyers are creative and engaging. And dont get us started on our compliance teams wicked sense of humor; nothing about what we do is boring.

Are you ready to bring your creativity discipline and collaborative spirit to help us invent the future Join us and youll collaborate daily with investors founders physicians biologists engineers economists and reform advocates who think in systems and act with urgency.

Join us to invent a happier healthier more productive future - and have fun doing it.

RA Capitals Data Engineering team builds the enterprise data platform that powers research investment and operational workflows across the firm. Beyond traditional data pipelines we are actively developing AI-native data access patterns that enable users to interact with complex healthcare datasets through LLM-powered governed and auditable interfaces.

Our work sits at the intersection of healthcare data large-scale data engineering and applied AI with a strong emphasis on reliability compliance and production readiness.

We are seeking an early-career software engineer to help build and operate AI-enabled data platforms and intelligent data workflows for healthcare data.

This role goes beyond traditional ETL. You will build healthcare data pipelines as well as AI-driven workflows and data applications that connect large language models with enterprise data and tools. This includes developing governed data access layers where LLMs translate user intent into structured queries and building agentic workflows that retrieve information invoke tools orchestrate multi-step tasks and support self-service analytics discovery and decision-making.

• Design and maintain scalable production-grade data pipelines for healthcare datasets including claims and provider data.

• Build and optimize data models to support analytical and AI-driven workloads.

• Develop high-quality Python and SQL code for data standardization reconciliation validation and application workflows.

• Build AI-powered data applications and agentic workflows that connect LLMs with enterprise data and internal tools retrieve information execute multi-step tasks and automate data and research processes with appropriate guardrails.

• Build and improve AI-native data access frameworks including LLM-to-SQL and LLM-to-GraphQL patterns and reusable interfaces for structured data access.

• Build backend services APIs and reusable software components that power data and AI applications.

• Develop evaluation and testing frameworks to measure the accuracy reliability and performance of LLM-powered and agentic workflows.

• Write automated tests and contribute to CI/CD deployment and production support for data and AI systems.

• Collaborate with AI/ML engineers healthcare data vendors and internal stakeholders to translate user needs into production-ready data and AI solutions.

• Implement monitoring observability and governance for data pipelines and AI workflows.

• Document data architectures AI-enabled workflows and production systems.

• Strong software engineering fundamentals and an interest in building production systems.

• Strong foundation in data engineering and data modeling.

• Proficiency in Python and SQL; experience with Spark and Databricks is preferred.

• Experience building or integrating APIs services or workflow-oriented applications.

• Hands-on experience with or a strong interest in LLM-powered applications AI agents or agentic workflows.

• Familiarity with LLM tool use structured outputs orchestration patterns GraphQL or other API-based data access methods.

• Experience working with healthcare or other regulated datasets is a plus.

• Strong communication ownership and collaboration skills.

• Bachelors degree or higher in Computer Science Software Engineering Data Science or a related technical field or equivalent practical experience. A masters degree is preferred.

• Up to three years of experience in software engineering data engineering or a related role.

• Must be based in the Boston area and available to work a hybrid schedule from our Boston office. Relocation assistance is not provided.

• Must be authorized to work in the United States without current or future sponsorship.