Ai/Ml Engineer (Fintech)

TL;DR

AI/ML Engineer (Fintech): Implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities with an accent on developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity. Focus on building validator models, adversarial prompts, and policy checks into the stack.

Location: Must be based in Seattle, Washington, United States

Salary: $150,000-$250,000

Company

hirify.global is a leading global investment banking, securities and investment management firm.

What you will do

• Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution.
• Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.
• Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.
• Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps.
• Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation.
• Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.

Requirements

• A Bachelor’s degree (Masters/ PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 7+ years of experience as an applied data scientist / machine learning engineer.
• 7+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
• 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
• Practical experience with Large Language Models (LLMs): API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).
• Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
• Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.

Nice to have

• Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).

Culture & Benefits

• hirify.global is a meritocracy where you will be given all the tools to advance your career.
• Access to excellent training programs designed to improve multiple facets of your skill portfolio.
• In-house training program, “hirify.global University” offers a comprehensive series of courses that you will have access to as your career progresses.