Staff AI Engineer (Fintech)

TL;DR

Staff AI Engineer (AI/Fintech): Designing and shipping agentic systems to reshape internal operations across sales, marketing, and finance with an accent on multi-step tool-augmented workflows and reflection-based architectures. Focus on building production-grade LLM-powered applications, optimizing agent reasoning quality, and integrating with a centralized AI foundations platform.

Location: Remote (Must be based in the US)

Salary: $200,000 – $250,000

Company

hirify.global is building the identity trust infrastructure for the digital economy to verify identities in real time and stop fraud.

What you will do

• Partner with business teams (Revenue Ops, Marketing, Finance, Talent) to identify and prioritize high-impact manual workflows for automation.
• Build multi-step, tool-augmented agent workflows using planner-executor and reflection-based architectures.
• Leverage the Agentic AI Foundations platform for orchestration, memory, tool registry, and guardrails.
• Discover and contribute reusable agent design patterns to the company's technical paved paths.
• Optimize solution speed and accuracy using evaluation harnesses and tracing substrates for failure-mode analysis.

Requirements

• 8+ years of software engineering experience, with 2+ years focused on AI/ML systems or LLM applications in production.
• Deep hands-on experience with LLM APIs and agentic frameworks such as LangGraph, CrewAI, or AutoGen.
• Strong Python skills and experience building production-grade backend services and data pipelines.
• Proven ability to operate in ambiguity and translate non-technical business workflows into technical solutions.
• Strong systems thinking with a focus on reliability, observability, and maintainability.
• Must be based in the US.

Nice to have

• Experience with RAG pipelines, vector databases, knowledge graphs, or memory systems.
• Familiarity with AI evaluation frameworks like LangSmith, Weights & Biases, or Arize.
• Knowledge of AI safety, prompt injection prevention, and hallucination mitigation.
• Background in regulated industries such as fintech, healthcare, or government.
• Experience with AWS-hosted LLM infrastructure (Bedrock, Lambda, SageMaker).

Culture & Benefits

• Competitive base salary with additional equity and annual bonuses.
• Comprehensive total rewards package including benefits.
• High-responsibility environment for those who think critically and act like owners.
• Remote-first culture focusing on solving complex, large-scale identity problems.