Senior Software Engineer
Core
Architect and lead the development of AI-enabled features and infrastructure, including MCP servers, RAG systems, and agentic workflows, while maintaining traditional software engineering standards.
Role type
Senior Software Engineer (AI/ML Infrastructure)
Builds
Production-grade AI integration layers, orchestration systems, and scalable product features
Domain
GRC SaaS, AI/ML, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Node.js, TypeScript, React, AWS, PostgreSQL, Python, MCP, RAG, Agentic AI, Microservices, Prompt Engineering
Preferred skills
LangGraph, Semantic Kernel, Vector Databases, AI Security, Chain-of-thought reasoning
Technologies
Node.js, React, TypeScript, AWS, PostgreSQL, MSSQL, Docker, Python, AWS Bedrock, LangGraph, Semantic Kernel, Vector Databases
Responsibilities
Design and implement AI integration infrastructure (MCP servers, orchestration layers, API gateways); Build sophisticated AI features including advanced RAG systems and agentic workflows; Establish AI engineering best practices, security patterns, and quality standards; Lead technical initiatives from requirements through production deployment; Make critical architectural decisions balancing performance, scalability, cost, and maintainability; Debug and resolve complex production issues across traditional and AI systems
Seniority
Senior, hands-on IC with technical leadership