AI/ML Engineer

TL;DR

AI/ML Engineer (AI/ML, Python): Developing and deploying AI chatbots and agent-based systems with an accent on microservices architecture, reliability, and security. Focus on building production LLM applications, agent development, and integrating research ideas into practical solutions.

Location: Remote (US, Canada, EU, Armenia, Georgia, Kazakhstan)

Company

hirify.global is a company focused on scientific data systems and applied AI solutions.

What you will do

• Develop, evaluate, and deploy AI chatbots and agent-based systems.
• Collaborate with engineering teams on microservices architecture, reliability, and security.
• Write modular, maintainable, and well-tested code.
• Participate in code reviews and contribute to project planning and delivery.
• Work closely with data scientists, engineers, and domain experts.
• Iterate rapidly in an applied research environment.

Requirements

• Strong Python engineering skills: OOP, unit/integration testing (pytest), asyncio, FastAPI.
• Solid understanding of ML/DL fundamentals.
• Practical experience training and fine-tuning ML models with PyTorch or similar frameworks, using NumPy and scikit-learn.
• Chemistry/cheminformatics domain expertise.
• Hands-on experience building production LLM applications and agents (RAG pipelines, text-to-SQL, multi-step reasoning, tool/function calling).
• Experience with document processing (structured data extraction from DOCX, PDF).
• Experience designing modular data/ML pipelines, API, and CI/CD integration.
• Ability to containerize and deploy applications using Docker.
• Hands-on experience with relational and NoSQL databases.
• Upper-Intermediate or higher level of English proficiency.

Nice to have

• Experience with agentic observability platforms (e.g., Langfuse, LiteLLM, Portkey).
• Ability to iterate quickly in applied research settings.

Culture & Benefits

• Competitive compensation.
• Remote or office work with flexible working hours.
• Healthcare benefits including medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• Certifications paid by the company.