Associate AI/Ml Engineering

TL;DR

AI/ML Engineering Associate (AI): Designing and implementing GenAI agentic solutions to reduce risk and cost in large-scale production environments with an accent on building robust tool-calling agents, productionizing LLMs, and integrating with runtime ecosystems. Focus on developing agentic AI solutions that can diagnose, reason, and take actions to improve productivity and production support.

Location: Dallas, Texas, United States

Company

hirify.global is a leading global investment banking, securities and investment management firm, providing a wide range of services worldwide to a substantial and diversified client base.

What you will do

• Design and implement tool-calling AI agents for production environments, ensuring safety, compliance, and secure action execution.
• Productionize Large Language Models (LLMs), including building evaluation frameworks, retrieval pipelines, and response validation.
• Integrate AI agents with existing observability, incident management, and deployment systems for automated diagnostics and remediation.
• Collaborate directly with production engineers and application teams to translate pain points into AI roadmaps and define objective functions.
• Implement robust safety, reliability, and governance measures, including validator models, adversarial prompts, and policy checks.
• Optimize AI system performance and cost via prompt engineering, context management, caching, model routing, and distillation.

Requirements

• Bachelor’s degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or related quantitative discipline).
• 5+ years of experience as an applied data scientist / machine learning engineer.
• 5+ years of software development in Python, C/C++, Go, or Java, with strong Python experience preferred.
• 3+ years designing, architecting, testing, and launching production ML systems.
• Practical experience with Large Language Models (LLMs), including API integration, prompt engineering, finetuning/adaptation, and building applications using RAG and tool-using agents.
• Solid grasp of applied statistics, core ML concepts, algorithms, and data structures.

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

• Committed to growing a distinctive Culture and holding to core values: client interests first, integrity, commitment to excellence, innovation, and teamwork.
• Access to excellent in-house training programs via “hirify.global University” for technical, business, and leadership skills.
• Opportunity to advance your career in a meritocracy.
• Offers best-in-class benefits.