AI Engineer

About the role

We are looking for an AI Engineer to help build and scale a company-wide AI platform that will power customer-facing assistants, internal tools and future AI-driven products.

This role is not a data science position.

You will focus on systems, platforms, reliability and integration, ensuring AI capabilities are safe, scalable, cost-effective and reusable across teams.

What you’ll work on

• Designing and building the core AI platform (gateways, orchestration, retrieval, tooling)

• Integrating and operating LLMs via APIs and self-hosted solutions

• Creating reusable infrastructure that enables product teams to ship AI features quickly

• Implementing safety, compliance and observability for production AI systems

• Partnering closely with Product, Backend, Data Science and Security teams to define AI capabilities

Key responsibilities

AI Platform & Infrastructure

• Build and maintain the AI Gateway for routing, rate limiting, experimentation and cost control

• Develop the AI Orchestration Layer that manages prompts, retrieval, tool calls and guardrails

• Design scalable APIs and SDKs for products to consume AI capabilities

Knowledge & Retrieval Systems

• Implement retrieval-augmented generation (RAG) pipelines using company data

• Build document ingestion, indexing and versioning workflows

• Ensure AI responses are grounded in approved and up-to-date content

Model Integration & Management

• Integrate with external LLM providers and manage model configurations

• Implement model routing strategies based on cost, latency and use case

• Work with prompt templates and system instructions to ensure predictable behavior

Safety, Compliance & Reliability

• Implement PII handling, content moderation and prompt-injection defenses

• Ensure AI systems comply with security and regulatory requirements (fintech context)

• Build monitoring, alerting and fallback mechanisms for AI failures

Observability & Continuous Improvement

• Instrument AI systems with logging, metrics and tracing

• Support evaluation workflows and feedback loops to improve quality over time

• Help define SLOs and operational standards for AI in production

What we’re looking for

Required experience

• 4+ years of experience in backend, platform or infrastructure engineering

• Strong experience building production APIs and distributed systems

• Experience with cloud platforms (AWS, GCP or Azure)

• Solid understanding of system design, scalability and reliability

AI & ML literacy (not DS-heavy)

• Practical experience integrating AI/ML models via APIs

• Understanding of how LLMs work at a systems level (prompts, tokens, latency, cost)

• Familiarity with concepts like:

  • Retrieval-augmented generation (RAG)

  • Model limitations and hallucinations

  • AI safety and guardrails

• Ability to reason about AI behavior, risks and trade-offs

Technical skills

• Strong programming skills in one or more backend languages (e.g., Python, Java, Go, Node.js)

• Experience with data stores (SQL, NoSQL, Redis, search engines)

• Familiarity with event-driven or async architectures

• Experience with observability tools (logs, metrics, tracing)

Nice to have

• Experience building internal platforms or developer tooling

• Exposure to fintech, payments or regulated environments

• Experience with vector databases or search systems

• Prior work on chatbots, assistants or workflow automation

• Experience designing systems used by multiple teams

What success looks like

• Product teams can ship AI features without rebuilding infrastructure

• AI systems are reliable, safe and cost-controlled in production

• New AI use cases plug into a shared platform with minimal effort

• Leadership has visibility into AI performance, quality and impact

Why join us

• Build foundational AI infrastructure used across the company

• Work at the intersection of AI, platforms and real business impact

• Shape how AI is safely deployed in a fintech/BNPL environment

• High ownership, high visibility and long-term technical impact

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Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.