Senior AI Engineer / Applied ML Engineer / LLM Engineer

hackajob is collaborating with American Express to connect them with exceptional professionals for the role of Senior AI Engineer. This role involves designing and building agentic AI systems that enhance customer financial management and automate workflows while ensuring compliance with regulatory standards. Responsibilities: Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances; Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure; Architect and implement production-grade RAG pipelines over sensitive financial data, with strict Qualifications: 5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems; A track record of shipping AI-powered or agentic systems that real users depend on; Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure; Hands-on experience with modern LLM tooling and agentic patterns and architectures; Fluency with AI-assisted and agentic development workflows; Strong sense of ownership and sound technical judgment; Comfort operating with ambiguity and turning it into shipped reliable product; A strong product mindset and customer orientation Required Skills: Software engineering, Large language models (LLMs), Applied machine learning, Backend systems, APIs, Data pipelines, Cloud infrastructure, Python, Go, TypeScript, AWS, Google Cloud Platform (GCP), Kubernetes, REST, GRPC, Event-driven architectures, Kafka, Agentic AI systems, Retrieval-augmented generation (RAG), Vector storage, AI-assisted development workflows, Validation, State management, Security, Auditability in financial services, Technical judgment, Product mindset, Customer orientation