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hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
The Role
As an AI Engineer – Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.
This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.
What You’ll Do
Contribute to the design and implementation of LLM-powered and agentic product features.
Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.
Technical Environment
We don’t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI.
Core engineering stack
Languages: Python, Go, TypeScript
Cloud and infrastructure: AWS and/or GCP, Kubernetes
APIs and services: REST, gRPC
Distributed systems: event-driven architectures, including Kafka
Agentic AI and ML
Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Schema validation and structured data handling
AI-assisted development
Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
Learning how to apply these tools responsibly while maintaining production-quality standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
What We’re Looking For
2+ years of professional software engineering experience.
Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
Familiarity with APIs, basic cloud concepts, and modern development practices.
Interest in agentic AI systems, autonomy, and AI-assisted development workflows.
Willingness to learn, take feedback, and grow technical ownership over time.
Comfort working in collaborative, cross-functional teams.
A strong customer mindset and curiosity about real-world problem solving.
Preferred Qualifications
Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
Internship or early-career experience in fintech or other regulated environments.
Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.
hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.