Senior Software Engineer , AI
Core
Design, build, and maintain reusable AI capabilities, including models, tools, APIs, and platforms that power internal and customer-facing solutions for a fraud detection and identity intelligence company.
Role type
Senior Software Engineer (AI Infrastructure & Agentic Systems)
Builds
Infrastructure for autonomous and interactive agents, AI guardrails, evaluation frameworks, and RAG systems.
Domain
Fintech / Fraud Prevention / Generative AI
Deliverable
production ML models | infrastructure
Required skills
Backend and server-side development, Python, GenAI/LLMs/foundation models, AI coding tools, DevOps, public cloud platforms, RAG systems, agentic frameworks, MCP servers, evaluation frameworks.
Preferred skills
Product management skills, experience with non-technical user requirements.
Technologies
Python, AWS, GCP, Azure, Claude Code, Github Copilot, Cursor, MCP, RAG.
Responsibilities
Design and build reusable AI capabilities (models, tools, APIs, platforms); Develop and maintain internal MCP server; Create and implement AI guardrails and evaluation frameworks; Establish sustainable AI engineering practices; Promote AI readiness and track adoption; Build and optimize RAG systems; Take full ownership of projects from requirements to deployment; Act as a consultant for AI engineering; Partner with teams to accelerate AI adoption.
Seniority
Senior, hands-on IC
