AI Engineer

TL;DR

AI Engineer (AI): Building and deploying advanced AI-powered platforms and intelligent agentic systems that transform how organizations manage safety, compliance, and risk with an accent on sophisticated multi-agent systems and RAG architectures. Focus on solving complex enterprise challenges in supply chain safety and risk management on a global scale.

Location: If residing within commutable distance to one of our offices, a hybrid schedule would be required (3 days in office, 2 days work from home). Those outside of commutable distance may be considered on a remote basis.

Salary: $123,000 - $174,000 USD per year, with a potential bonus.

Company

hirify.global’s SaaS platform connects the world’s leading organizations with qualified suppliers, contractors, and vendors.

What you will do

• Design and implement production-grade AI systems, including intelligent assistants and multi-agent orchestration platforms.
• Build agentic workflows using frameworks such as CrewAI, AutoGen, Threads, LangChain, and LangGraph for orchestration.
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases.
• Integrate and extend enterprise AI tools through custom solutions.
• Optimize API integrations with LLM providers (OpenAI, Anthropic) and enterprise platforms.
• Build internal automation tools to accelerate AI development workflows.

Requirements

• 5-8 years of professional software engineering experience, with 2+ years focused on operationalizing/productionizing AI/ML systems.
• Deep expertise in Python; experience with Java, C/C++, or R is a strong plus.
• Proven track record building and deploying production AI systems with LLMs (such as OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, etc.).
• Good understanding of agents, RAG architectures, vector databases, and semantic search.
• Strong fundamentals in software engineering, testing, CI/CD, and system design.
• Excellent communication skills for engaging with senior leadership.

Nice to have

• Strong experience with agentic frameworks (such as CrewAI, AutoGen, LangGraph).
• Familiarity with enterprise SaaS environments and B2B product development.
• Experience with agentic AI development tools (such as Claude Code, Cursor, Windsurf, GitHub Copilot, Devin).
• Familiarity with observability platforms (LangFuse, LangSmith, Weights & Biases).
• Experience with fine-tuning and LLM optimization.

Culture & Benefits

• Comprehensive benefits package, which includes health, dental and vision insurance.
• 401(k).
• PTO.