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# AI Engineer

- **Company:** Radley James
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software as a Service, Internet Security, Python (Programming Language), OAuth, OpenAI, Software Engineering, Haystack, Large Language Models, Grafana, Agentic-AI, Event Driven Architecture, Containerization, Kubernetes, Terraform, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_c15e19c5f87ea95960658577ceeb68fa

## About the Role

* 4+ years' professional software engineering (Python focus), including distributed, event-driven systems on AWS
 * 3+ years of production experience with LLM/GenAI solutions (Bedrock, OpenAI, or similar)
 * Strong knowledge of Jira data models, APIs, and SaaS integration security (OAuth, encryption, key rotation)
 * Hands-on with CI/CD pipelines, observability tools, and monitoring frameworks
 * Excellent communication skills for working with both technical and non-technical teams
 * Familiarity with regulated environments (SOC 2, model governance, financial services)

Bonus Points For

 * KYC/AML automation or client onboarding projects
 * Experience with LangChain, Haystack, or other agent frameworks
 * Infrastructure-as-Code (Terraform, CDK) and containerization (Kubernetes)
 * Background in prime brokerage or capital markets systems

## Description

We are seeking a Senior Automation Engineer (AI) to design and deliver intelligent automation frameworks that power mission-critical systems in a high-performance financial technology environment. This is an opportunity to build agentic and LLM-driven solutions from the ground up, while working directly with senior stakeholders in Operations, Risk, and Compliance., * Architect and deploy automation frameworks in Python on AWS

 * Break down workflows into micro-services and AI agents
 * Build secure, scalable integrations with internal platforms
 * Define and monitor SLIs/SLOs with robust dashboards and alerting
 * Implement guardrails and prompt strategies for LLM outputs
 * Partner with risk and security teams to ensure governance and compliance
 * Mentor junior engineers and drive engineering best practices
 * Evaluate and experiment with new agent frameworks and emerging AI technologies