Position Summary:

Our partner is a U.S.-based international bank expanding how artificial intelligence supports secure, regulated financial operations. As part of this initiative, they are adding an AI Developer to build backend AI solutions that automate workflows and connect intelligent agents with existing enterprise systems.

You’ll work primarily in Python, developing AI agents, RAG-based solutions, and workflow integrations that interact with APIs, databases, and business platforms. This is software engineering first, with AI applied to real operational problems rather than experimental research.

The environment is highly regulated, so successful solutions must balance functionality with security, governance, reliability, and compliance. It’s a strong fit for an engineer who enjoys figuring things out, building practical systems, and growing deeper into production AI development.

Experience and Education:

BS in Computer Science, Information Technology, Software Engineering, or equivalent experience/field
Strong software engineering background with hands-on Python development
Proven work building or supporting backend applications, services, or workflow-driven systems
Hands-on exposure to AI agents, LLM applications, or production AI solutions
Familiarity integrating applications with APIs, databases, and enterprise systems
Background working within regulated, compliance-driven, or data-sensitive environments
Exposure to cloud-based application development

Skills and Strengths:

Python
Backend Engineering
AI Agent Development
Retrieval Augmented Generation
Large Language Models
API Integration
Workflow Automation
Database Integration
Software Architecture
Gemini Enterprise
Vertex AI
Tool Calling
Agent Orchestration
Prompt Engineering
REST APIs
Cloud Application Development
Application Security
AI Governance
Regulatory Compliance

Primary Job Responsibilities:

Develop backend AI applications and workflow-driven solutions using Python
Build AI agents that support and automate internal business processes
Implement Retrieval-Augmented Generation solutions for enterprise use cases
Connect AI applications with APIs, databases, and existing business systems
Develop agent workflows capable of retrieving information, applying business logic, and completing defined tasks
Integrate AI capabilities into existing enterprise and banking workflows
Evaluate AI tools and technical approaches based on business requirements
Apply software engineering practices to AI development, testing, deployment, and maintenance
Build safeguards and controls appropriate for a regulated environment
Support secure handling of sensitive business and customer data
Troubleshoot integration, workflow, and application reliability issues
Collaborate with business, technology, risk, and compliance stakeholders
Contribute to technical decisions involving performance, complexity, cost, and maintainability
Learn and adapt to new AI technologies as the organization’s capabilities evolve
Help move AI concepts from experimentation into practical production use

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