[Hiring] Software Engineer, AI, Platform @SmithRx

Role Description

As a Software Engineer, AI, you will be a key contributor in SmithRx’s mission to build a next-generation, AI-native pharmacy benefits platform. This is not a traditional MLE role; we are looking for a product-focused, versatile engineer who can help bridge the gap between cutting-edge LLM capabilities and reliable, production-grade software. You will help build and scale systems that leverage the power of AI while maintaining the deterministic rigor required for healthcare and financial transactions. You will apply engineering best practices, coding standards, and collaborate closely with the team on system design. We need our engineers to be adaptable and driven, display strong ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward.

What you will do:

• Develop and Maintain: Focus on discovering, designing, developing, and maintaining SmithRx product features using a varied technology stack such as Golang, JavaScript/TypeScript, Node, GraphQL, and SQL (amongst others), while leveraging CI/CD to iterate quickly.
• Collaborate on Design: Work with technical leads, senior engineers, and stakeholders to translate requirements into high-quality, AI-native software, actively contributing to technical design and scoping discussions.
• Build the Stochastic/Deterministic Bridge: Help implement the "safety rails" around LLMs, writing deterministic software that effectively manages, validates, and wraps the stochastic nature of AI models to ensure accuracy in healthcare data.
• Uphold Best Practices: Consistently apply software development best practices, design patterns, testing, and automation, utilizing emerging AI technologies like Claude-code, Copilot, or similar tools to accelerate development.
• Leverage Cloud Infrastructure: Utilize AWS technologies, like Lambda, Managed Kafka, and EKS, to handle various types of jobs and batch processing.
• Support Production: Troubleshoot production issues by participating in bug triage, assessing impact, and collaborating with the team to implement short-term mitigations and long-term root cause fixes.
• Drive Team Excellence: Foster a collaborative learning culture by actively participating in code reviews, sharing knowledge, and exploring innovative technologies alongside the engineering team.

Qualifications

• BS degree in computer science or applicable experience.
• 3-5 years of software development experience working on server-side applications, specifically around API servers, third-party integrations, and data processing.
• Strong experience in a compiled language such as GoLang or Java is required.
• Proficiency with relational databases such as PostgreSQL, including schema design and query optimization, is required.
• Working knowledge of GraphQL APIs, CI/CD pipelines, the AWS platform, Docker, and Kubernetes is a plus.
• AI Integration Experience: Familiarity or hands-on experience with Agentic Frameworks, MCP, LLM APIs (Anthropic/OpenAI), and basic Prompt Engineering/Evals.
• Communication: A collaborative approach to engineering, capable of explaining technical trade-offs to teammates and working effectively within a distributed team.
• Engineering Mindset: Ability to write clean, maintainable code with an understanding of system performance, while successfully navigating the ambiguity of a high-growth startup.
• Positivity; non-dogmatic, team-first attitude.
• Flexibility; someone who is responsive and comfortable with ambiguity.
• Experience at a high-growth startup is a plus.

Benefits

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance.
• Flexible Spending Benefits.
• 401(k) Retirement Savings Program.
• Short-term and long-term disability.
• Discretionary Paid Time Off.
• Paid Company Holidays.
• Wellness Benefits.
• Commuter Benefits.
• Paid Parental Leave benefits.
• Employee Assistance Program (EAP).
• Well-stocked kitchen in office locations.
• Professional development and training opportunities.

Location

US Remote