AI Senior Software Engineer

Job Description:

Core Skills & Qualifications

• LLM Integration: Basic understanding of LLM tool-calling patterns for future AI Backend Development: 5+ years of experience building scalable backend services using Python and FastAPI
• Tool-Based Architectures: Experience with MCP or tool-based orchestration patterns
• API & Microservices Architecture: Strong expertise in API orchestration, microservices design, and enterprise REST/JSON integrations
• Distributed Systems: Deep understanding of distributed systems, asynchronous programming, and concurrency models
• Workflow Orchestration: Hands-on experience designing workflow engines, state machines, and multi-step orchestration for complex business processes
• Resiliency & Reliability: Proven experience implementing retry mechanisms, failure handling, idempotency, and designing systems for partial success
• Caching & Performance Optimization: Experience using Redis (or similar caching technologies) for performance optimization, request deduplication, rate limiting, and state management
• Testing & Quality Engineering: Strong background in unit and integration testing (Pytest preferred), including validation of complex workflows, failure scenarios, and recovery logic
• Observability & Debugging: Expertise in logging, monitoring, and debugging distributed systems
• Engineering Excellence: Experience with Git-based workflows, code reviews, CI/CD pipelines (GitHub Actions, Jenkins), and code quality tools (linting, formatting, static analysis)
• Security Fundamentals: Working knowledge of secure API design, including OAuth2/JWT, authentication, and authorization best practices
• integrations
• Cloud & AWS Experience

Good to Have / Nice to Have:

• Domain Knowledge: Familiarity with insurance or financial services workflows