AI Engineer II (Applied AI)

TL;DR

AI Engineer II (Applied AI): Leading the design and development of AI-powered platforms and systems, including intelligent automation and embedding proprietary AI solutions into products. Focus on translating ambiguous problems into scalable AI-enabled technical solutions, ensuring reliability, performance, and security across full-stack systems.

Location: Remote from Brazil

Company

hirify.global is revolutionizing the shopping experience with seamless, interest-free installment plans, blending cutting-edge tech 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.
• Translate ambiguous business problems into scalable, maintainable, AI-enabled technical solutions.

Requirements

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as 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, etc.).
• Experience developing AI-assisted or agentic systems.
• Familiarity with embeddings and vector databases (Pinecone, Weaviate, pgvector).
• Experience with NLP techniques.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, RAG, and LLM application patterns.
• Experience with containerized systems and orchestration tools (Docker, Kubernetes).
• Exposure to CI/CD pipelines (GitLab).
• Experience with Golang.

Culture & Benefits

• Culture defined by brilliant, passionate, out-of-the-box thinkers and determined innovators.
• Emphasis on relentlessly high standards and continuous improvement.
• Value calculated risk-taking and speed in business.
• Commitment to earning trust through attentive listening, candid speaking, and respectful treatment.