Key skills
AWSCloudDockerGraphQLJavaJavaScriptKubernetesNode.jsPostgresReactRuby on RailsSQLTypeScriptGoC#C++CGolangRubyAIMLGenAILLMOpenAIAnthropicRAGAgenticRailsFargateLambdaPostgreSQLCI/CD
About this role
Role Overview
- 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
- Education: BS in Computer Science and 1 year of experience or a MS in Computer Science.
- Background: Besides education, participation in coding competitions or fully released independent projects, internship experience related to AI is a plus.
- Technical Knowledge: Experience with a compiled language such as Go, Java, C#, or C++ (Go experience is a strong plus).
- AI/ML: 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.
- Database Fundamentals: Ability to write effective and efficient queries with relational databases (specifically PostgreSQL), including basic schema design.
- Familiarity or hands-on experience with Agentic Frameworks, MCP, LLM APIs (Anthropic/OpenAI) and basic Prompt Engineering Evals
- API Design: A solid grasp of the fundamentals of designing and implementing scalable APIs, along with an understanding of design patterns and testing best practices.
- Cloud & DevOps: A basic understanding of GraphQL APIs, CI/CD pipelines, AWS, Docker, and Kubernetes.
- Soft Skills: A positive, non-dogmatic, team-first attitude with the flexibility to navigate ambiguity.
Tech Stack
- AWS
- Cloud
- Docker
- GraphQL
- Java
- JavaScript
- Kubernetes
- Node.js
- Postgres
- React
- Ruby on Rails
- SQL
- TypeScript
- Go
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