AI Engineer (Generative AI)

TL;DR

AI Engineer (Generative AI): Designing, building, and deploying LLM-powered solutions with an accent on RAG pipelines, agentic workflows, and production-grade AI systems. Focus on bridging rapid prototyping with scalable production deployment, ensuring reliability, cost-efficiency, and safety in generative AI applications.

Location: Columbia, MD (Onsite)

Salary: $100,000 - $150,000

Company

hirify.global is a premier AI services provider dedicated to unlocking value and fostering innovation by aligning human expertise with data-driven strategy.

What you will do

• Architect and implement production-ready AI solutions using LLMs, transformers, and agentic workflows.
• Design and iterate on RAG pipelines to optimize accuracy, latency, and cost-efficiency.
• Build multi-step agentic systems capable of reasoning, tool invocation, and state management.
• Deploy and monitor GenAI pipelines in production environments using cloud infrastructure.
• Develop evaluation frameworks to measure model performance, grounding, and factuality.
• Implement safety guardrails, including prompt-injection protections and content moderation.

Requirements

• 3+ years of applied machine learning experience with a focus on NLP, transformers, or generative AI.
• Hands-on experience with LLM libraries such as LangChain, LlamaIndex, or similar frameworks.
• Proven ability to build and deploy machine learning models to production environments.
• Fluency in Python with a focus on clean, modular, production-grade code.
• Experience with cloud platforms like AWS, Azure, or GCP and containerization.
• Must be authorized to work in the United States.

Nice to have

• Experience with Azure Prompt flow or AWS Bedrock agents.
• Background in implementing privacy and bias mitigation practices.
• Strong collaborative experience working at the intersection of Data Science and Engineering.

Culture & Benefits

• Competitive compensation package including medical, dental, and vision insurance.
• 401K retirement plan with company contributions.
• Generous PTO and paid holidays.
• Support for professional growth and a culture that values craft over politics.
• Opportunity to work on high-impact, greenfield data projects.