Key skills
JavaScriptTypeScriptJavaC#C++CGoGolangSQLAIMLGenAILLMOpenAIAnthropicRAGAgenticReactRailsGraphQLAWSKubernetesDockerFargateLambdaPostgreSQLCI/CDCollaboration
About this role
SmithRx is a rapidly growing, venture-backed Health-Tech company dedicated to transforming the pharmacy benefit management sector. The role involves full-stack development and collaboration within the engineering team to enhance their next-generation pharmacy benefits management platform.
Responsibilities:
- Full-Stack Development: Focus on our back-end and front-end codebase to develop and maintain SmithRx product features using Golang, GraphQL, SQL, React, JavaScript/TypeScript, Node, and Java
- Bridge the Stochastic/Deterministic Gap: Architect and implement robust "safety rails" surrounding LLMs by developing deterministic software that manages, validates, and encapsulates the stochastic nature of AI models, ensuring the high-precision accuracy required for healthcare data
- Implement Context-aware systems: Help design and build retrieval-augmented generation (RAG) pipelines and stateful orchestration logic to integrate data sources with LLMs, enabling development of complex, multi-step agentic workflows
- Collaborate: Work with technical leads to understand functional and technical requirements to produce high-quality, scalable software
- Learn and Apply Best Practices: Study and apply software development best practices, design patterns, and modern tools across every project
- Extend the Platform: Leverage frameworks such as GraphQL, React, and GORM to expand the capabilities of our platform
- Cloud Infrastructure: Learn to effectively use AWS technologies at production scale, including Lambda and Fargate, to handle various job types and batch processing
- Quality Assurance: Ensure code is fully tested end-to-end, maintains high code coverage, and that all features are thoroughly documented
- Production Support: Quickly learn to troubleshoot production issues by performing triage, assessing impact, executing mitigation plans, and performing root cause analysis to prevent recurrence
- Culture of Learning: Contribute to a collaborative culture through code reviews and the exploration of new technologies
- AI Innovation: Actively seek out and share new AI tools and technologies to improve software delivery speed and quality
Requirements:
- BS in Computer Science and 1 year of experience or a MS in Computer Science
- Experience with a compiled language such as Go, Java, C#, or C++ (Go experience is a strong plus)
- Solid ML/AI concepts, knowledge and relevant coursework, experience using GenAI tools to build AI-native high-quality, production-ready software is a plus; an understanding of the pitfalls and limitations of AI is a must
- Ability to write effective and efficient queries with relational databases (specifically PostgreSQL), including basic schema design
- A solid grasp of the fundamentals of designing and implementing scalable APIs, along with an understanding of design patterns and testing best practices
- A basic understanding of GraphQL APIs, CI/CD pipelines, AWS, Docker, and Kubernetes
- A positive, non-dogmatic, team-first attitude with the flexibility to navigate ambiguity
- Participation in coding competitions or fully released independent projects
- Internship experience related to AI
- Familiarity or hands-on experience with Agentic Frameworks, MCP, LLM APIs (Anthropic/OpenAI) and basic Prompt Engineering Evals