AI Engineer

Radley James
New York, NY, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+6 more
Agentic-AI Event Driven Architecture Containerization Kubernetes Terraform Microservices

Job 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

Requirements

  • 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

Benefits & conditions

  • Work on cutting-edge AI automation in a global financial technology environment
  • Collaborate with senior leadership and make a direct business impact
  • Competitive compensation + benefits with strong career growth opportunities
  • Culture of experimentation, measurement, and innovation

Apply for this position

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