AI/ML Engineer

TL;DR

AI/ML Engineer: Building scalable AI solutions for an enterprise digital platform, enhancing automation, predictive insights, and data-driven decision-making across complex workflows with an accent on converting manual processes to automation and predicting answers/costs. Focus on designing, training, and deploying ML models in production environments and integrating AI-driven capabilities.

Location: Remote (Worldwide)

Company

hirify.global is a global technology company delivering enterprise digital platforms for automating complex operational, financial, and compliance workflows for international businesses.

What you will do

• Convert manual processes to fully or partially automated solutions.
• Improve operational efficiency for internal teams and customers.
• Predict answers to questions and costs based on historical knowledge bases.
• Automate tasks using chatbot-style functionality.
• Embed AI-driven capabilities across a digital platform.
• Design and deliver scalable, production-grade AI solutions in collaboration with product, backend, and data teams.

Requirements

• 3+ years of experience as an AI/ML Engineer or in a similar role.
• Experience with LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith.
• Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration.
• Proven experience designing, training, and deploying ML models in production environments.
• Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Strong coding skills in Python, with familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Experience with cloud platforms (Azure, AWS, Google Cloud) for deploying AI models.
• Understanding of SDLC and agile methodologies, with experience in version control systems (e.g., Git).
• English: Intermediate+ required.

Nice to have

• Programming experience in Java.
• Understanding of ML fundamentals and MLOps practices (model versioning, monitoring, CI/CD).
• Strong Python application architecture for production deployments (mono repos, uv, microservices, gunicorn, FastAPI).
• Strong LLM/DevOps skills.
• Strong infrastructure as code skills, specifically in Azure environment and BICEP.
• Experience with automated production-grade deployments of AI/LLM models.
• Experience with production-grade architecture of cloud-based solutions.

Culture & Benefits

• Opportunity to work with leaders in various industries (FinTech, Healthcare, Retail, Telecom).
• Flexibility to change projects or develop expertise in different business domains.
• Flexible work options: fully remote, office, or hybrid.
• Guaranteed professional, financial, and career growth with mentoring and adaptation systems.
• Access to a corporate training portal and English courses.
• Certification compensation (AWS, PMP) and a referral program.
• Private health insurance and compensation for sports activities.
• Engaging corporate life including parties, pizza days, PlayStation, and other amenities.