Fullstack Engineer

Summary

Join Blue Coding as a Full Stack Developer and work remotely from anywhere in the Americas! Build and maintain impactful digital products for a mission-driven environmental organization, focusing on software development using various technologies like Node.js, Python, React, and AWS. Collaborate with a cross-functional team, contribute to architecture decisions, and explore AI/LLM integration. This is a long-term, fully remote position offering a salary in USD and a flexible schedule within US time zones. The ideal candidate will have strong full-stack development experience, excellent communication skills, and a passion for environmental sustainability.

Requirements

• Strong hands-on experience building backend APIs and services using Node.js (TypeScript), and Python (e.g., FastAPI or Flask)
• Experience with testing frameworks such as Jest or Pytest, implementing zod or pydantic schemas
• Strong hands-on experience building interactive web UIs using modern frameworks like React, Vue, or Svelte (with state management), HTML/CSS, and testing with Jest and Cypress or Playwright
• Experience with databases: SQL (SQL Server and SQLite) and NoSQL (Redis)
• Experience with cloud services like AWS (such as ECS, Lambda, Step functions, EMR, SQS, S3)
• Experience in building maintainable and reliable frontend and backend software in agile environments
• Experience with continuous integration and deployment
• Excellent communication and interpersonal skills
• Self-motivated learner with a willingness and ability to take on new challenges
• Interest in working for a mission-driven environmental organization
• Ability to work primarily during US EST or CST work hours

Responsibilities

• Design, build, test, and maintain full-stack applications and associated features for various digital products, including backend APIs and frontend interfaces
• Collaboratively design client-side and server-side software architecture for long-term performance, maintainability, security, and reliability
• Work closely with product managers, data scientists, designers, and researchers to iterate based on user feedback and evolving priorities
• Contribute to shared engineering practices, reusable components, and internal documentation such as their Design System across the Product Studio
• Engage in the exploration and prototyping of AI/LLM tools and services, integrating them into existing or new products where appropriate
• Write automated tests and technical documentation, and conduct code review with peers
• Troubleshoot, diagnose, and fix software issues across the stack
• Support product launches, monitor system performance, and troubleshoot issues across environments
• Improve the user support and onboarding experience by addressing bugs, documenting workflows, and responding to support tickets

Preferred Qualifications

• Bachelor’s degree in computer science or a related field
• Experience and desire to work with geospatial data systems and large-scale data analysis
• Experience integrating with LLMs (e.g., OpenAI, Hugging Face, Anthropic) and building prompt-driven or RAG applications
• Comfort with async programming patterns and real-time interfaces (e.g., WebSockets, SSE)
• Experience setting up logging, monitoring, and evaluation frameworks for LLM-based systems, including prompt/response logging, performance metrics, error tracking, and user feedback pipelines; familiarity with tools such as OpenTelemetry, Prometheus, Sentry, or custom dashboards, for prompt evaluations and model behavior tracking
• Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone)
• Familiarity with tools like LangChain, LlamaIndex, or custom LLM orchestration patterns
• Understanding of embedding pipelines, vector search, and similarity metrics
• Experience deploying and monitoring inference pipelines or AI microservices
• Experience working with or supporting machine learning pipelines or MLOps workflows
• Familiarity with design systems and scalable frontend architecture
• Prior involvement in AI/ML/LLM experimentation or tool integration

Benefits

• Salary in USD
• Flexible schedule (within US Time zones)
• 100% Remote
• Long term