Senior AI Engineer (Agents)

TL;DR

Senior AI Engineer (Agents): Designing and optimizing AI/ML products focused on LLMs and AI Agents with an accent on building conversational AI interfaces and production-grade AI pipelines. Focus on implementing feedback loops and continuous learning systems to improve model performance and leading technical initiatives for AI system integration.

Location: Remote (Global)

Company

hirify.global transforms technology complexity into business opportunity with its AI-powered enterprise orchestration platform, trusted by 400,000 global customers.

What you will do

• Design and implement advanced AI/ML systems focusing on LLMs, AI Agents, and RAG architectures.
• Build conversational AI interfaces that handle multi-turn customer interactions and maintain context.
• Develop production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
• Implement feedback loops and continuous learning systems to improve model performance over time.
• Create analytics dashboards and reporting tools to track automation effectiveness and key performance indicators.
• Lead technical initiatives for AI system integration into existing products and services and collaborate with data scientists.

Requirements

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
• 5+ years in backend software development using modern programming languages (e.g., Python, Golang or Java).
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using LLMs.
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation.
• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval.
• Deep knowledge of REST API design and integration patterns.
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.
• Strong understanding of software architecture, scalability, security, and system design.

Nice to have

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure).
• Experience with A/B testing and experimentation frameworks.

Culture & Benefits

• Flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
• Driven by innovation and looking for team players.
• Balance productivity with self-care, offering a vibrant and dynamic work environment.
• Recognized as one of the top 100 private cloud companies in the world by Forbes’ Cloud 100.
• Ranked #1 best company for remote workers by Quartz.