Senior AI Engineer (Customer Agent)

TL;DR

Senior AI Engineer (Customer Agent): Designing and building scalable backend systems and services that power hirify.global’s AI-native conversational platform and agent solutions with an accent on async processing pipelines, distributed systems, and production-grade AI model serving. Focus on developing data collection/processing pipelines, evolving agentic architecture, and creating evaluation workflows to ensure reliable AI performance at scale.

Company

hirify.global builds AI-powered customer messaging and marketing experiences using first-party data.

What you will do

• Design and build backend systems that scale AI solutions for 167K+ customers.
• Develop robust data collection and processing pipelines for training and consuming machine learning models.
• Build production services to serve AI models reliably and at scale.
• Contribute to evolving agentic architecture to make AI agents more self-sufficient and performant.
• Partner with product managers, machine learning engineers, and data scientists to deliver real-world impact.

Requirements

• 5–7 years of professional software engineering experience with a strong focus on backend systems and distributed architectures.
• Hands-on experience building and deploying generative AI and agentic AI applications into production, including prompt engineering, few-shot learning, fine-tuning, and evaluation.
• Proficiency in Python and modern backend frameworks (FastAPI, Django preferred).
• Experience with big data tools (Apache Spark, Hadoop) and asynchronous/distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
• Strong database and ORM knowledge (SQLAlchemy, Alembic) and ability to design robust APIs.
• Comfort with cloud-native architectures (AWS), container orchestration (Kubernetes), and CI/CD pipelines.

Nice to have

• Experience training ML models and deploying them in production to drive business impact.
• Experience with reinforcement learning.

Culture & Benefits

• Ownership and experimentation culture with customer-centric product thinking.
• Backend-heavy role with opportunities to influence architecture and async/distributed systems.
• Compensation includes base salary plus potential bonus, equity, sign-on payments, and health/welfare/wellbeing benefits based on eligibility.
• Role may require up to 10% travel for onboarding, client/partner work, team meetings, and industry events.

Hiring process

• Uses Covey as part of hiring/promotional evaluation; job requirements are provided to Covey for candidate application evaluation.
• Interviews include AI fluency expectations, including responsible use of AI (privacy, security, bias awareness, and human-in-the-loop).