TL;DR

Senior AI Engineer (AI Engineering): Lead AI transformation engagements with strategic customers by designing and implementing scalable AI applications and autonomous AI agents. Focus on architecting enterprise-grade AI solutions, integrating data, and ensuring secure, compliant, and scalable AI adoption in complex environments.

Location: Hybrid with 3 days a week in office at one of %hirify_global%'s physical hubs

Company

%hirify_global% is a visual workspace for innovation enabling distributed teams to collaborate on product design, brainstorming, and workshops with over 100M users worldwide.

What you will do

Conduct deep discovery with customers to identify business challenges solvable by %hirify_global% AI Innovation Workspace
Design and implement scalable AI applications and blueprints for enterprise workflows
Integrate enterprise data using RAG and vector databases
Apply text pre-processing, chunking, summarization, context engineering, and fine-tuning to improve AI solution performance
Develop and orchestrate autonomous AI agents
Ensure robust monitoring, logging, and evaluation of LLM applications

Requirements

4-6 years experience in Data Science/Data Engineering with minimum 2 years in Generative AI
Advanced degree in CS, Applied Math, Physics, or equivalent
Strong Python and JavaScript development skills
Deep knowledge of transformers and LLMs (GPT, Claude, Mistral)
Experience with RAG pipelines, vector stores, context engineering, and fine-tuning
Enterprise cloud experience (AWS, GCP, Azure) with Docker/Kubernetes
Understanding of AI privacy, compliance, risk management, and regulations (e.g., EU AI Act)
Experience working with customers under tight deadlines

Nice to have

Integration experience with SharePoint, Confluence, Salesforce, SAP, ServiceNow

Culture & Benefits

Competitive equity package
Health insurance for employee and family
Corporate pension plan
Office lunch, snacks, and drinks
Wellbeing benefits and WFH equipment allowance
Annual learning and development allowance
Globally diverse team environment