Senior Backend Developer, AI
Summary
Build and own scalable Java/Spring Boot and Python backend services, integrate AI tools (LLMs, RAG, vector search) into workflows, and validate AI-generated code before production.
- Build and own backend services using Java, Spring Boot, and Python-designed for scale, reliability, and real-time use.
- Use AI tools (Amazon Q, Cursor, Copilot, Claude, GPT) to accelerate development, refactoring, and problem-solving.
- Turn product ideas into production-ready systems quickly, without compromising quality.
- Integrate AI capabilities (LLMs, RAG, vector search) into backend workflows where they add real value.
- Act as the final filter for AI-generated code-identify flaws, inefficiencies, and incorrect assumptions before they ship.
- Design clean APIs, handle distributed system challenges, and ensure performance at scale.
- Write and validate tests to keep fast-moving systems stable.
- Debug production issues and take full ownership of reliability and performance.
Requirements
- Strong experience with Java (Spring Boot) and Python backend systems.
- Experience building high-scale, low-latency distributed systems.
- Solid understanding of APIs, databases, caching, and event-driven systems (e.g., Kafka).
- Experience with cloud environments (AWS) and containerized deployments.
- Familiarity with LLM APIs, token usage, latency, and response handling.
- You are already using AI tools (Amazon Q, Cursor, Copilot, Claude, GPT) as part of your daily workflow.
- You know how to manage context, structure prompts, and get reliable outputs from AI systems.
- You don't trust AI blindly, you verify, refine, and take responsibility for every line shipped.
Core Competencies
Demonstrates expertise in building and owning backend services using Java and Python, with a focus on scalability, reliability, and integration of AI capabilities. Proficient in designing APIs, managing distributed systems, and ensuring performance while leveraging AI tools for development efficiency.
Highest-signal resume keywords
- Java (Spring Boot) Backend Development
- Python Backend Development
- High-Scale Distributed Systems
- Cloud Environments (AWS)
- AI Tool Integration (Amazon Q, Cursor, Copilot, Claude, GPT)
ATS Optimization Keywords
Hard Skills
- Java
- Spring Boot
- Python
- APIs
- Databases
- Caching
- Event-Driven Systems
- Kafka
- Testing
- Debugging
Soft Skills
- Problem-Solving
- Attention to Detail
- Ownership
Industry Keywords
- Low-Latency Systems
- Real-Time Systems
- AI Capabilities
- LLM APIs
- Token Usage
Tools & Technologies
- AWS
- Containerized Deployments
- AI Tools