AI Engineer II

TL;DR

AI Engineer II: Designing, building, and owning end-to-end AI-powered platforms and intelligent automation systems that integrate into customer-facing products and operational workflows. Focus on shaping architecture, driving implementation, ensuring reliability, performance, security, and scalability in highly ambiguous problem spaces.

Location: Remote (Türkiye)

Company

hirify.global is revolutionizing the shopping experience with AI-driven, interest-free installment plans in fintech and retail, aiming to financially empower the next generation.

What you will do

• Lead the design, development, and ownership of AI-powered internal platforms and systems.
• Own end-to-end delivery of complex projects, from problem discovery to production rollout.
• Design and implement AI-driven features, intelligent automation, and orchestration systems.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Collaborate closely with product, engineering, and operations teams to identify high-impact opportunities.

Requirements

• 3–5 years of professional experience in software engineering, AI engineering, or platform engineering.
• Hands-on experience designing, building, and shipping AI-powered systems into production.
• Strong proficiency in Python, SQL, and React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Nice to have

• Experience building AI-first platforms or internal products from scratch.
• Strong foundation in core machine learning and data science principles.
• Experience with transformer architectures (BERT, GPT) and related concepts.
• Familiarity with embeddings, vector representations, and vector databases (Pinecone, Weaviate, pgvector).
• Experience with NLP techniques (text classification, named entity recognition, semantic search).
• Familiarity with cloud-native development using AWS and LLM application patterns.
• Experience with containerized systems (Docker, Kubernetes) and CI/CD pipelines.
• Experience with Golang or willingness to learn.

Culture & Benefits

• Culture of relentlessly high standards, innovation, and calculated risk-taking.
• Opportunity to empower the next generation financially and redefine shopping.
• Thrive in a dynamic, fast-paced environment with strong prospects for growth and ownership.
• Work with brilliant engineers, passionate data enthusiasts, and determined innovators.
• Focus on delivering impactful and scalable solutions.