AI Platform Engineer

We are a leading Product Development, Artificial Intelligence, and Team Augmentation studio with our eyes set on the future that crafts better futures for humanity by relying on cutting-edge technology to create impressive digital products and solutions that widen your global reach. Our human-centric approach guides us every step of the way and we're proud of the impact our products make.

We are seeking an AI Platform Engineer to design, build, and operate scalable AI-powered services in a cloud-native environment. This role sits at the intersection of backend engineering, distributed systems, and applied AI infrastructure.
You will be responsible for building production-grade APIs and event-driven services that power AI agents, retrieval systems, and intelligent workflows. The ideal candidate combines strong backend engineering fundamentals with hands-on experience in serverless and event-based architectures on AWS.

What You'll Do:
1. AI Platform & Service Development
Design and implement backend services using Python and FastAPI
Develop APIs that orchestrate AI agents and LLM-powered workflows
Integrate with Amazon Bedrock and other AI services for inference and retrieval
Build retrieval-augmented generation (RAG) systems leveraging vector databases
2. Cloud-Native Architecture (AWS)
Architect and deploy services using:
API Gateway
AWS Lambda
ECS
EventBridge
SQS
Step Functions
S3
RDS
DynamoDB
Bedrock
Design event-driven, serverless-first systems
Ensure high availability, fault tolerance, and observability
3. Data & Storage Systems
Model and manage data across:
Relational databases (SQL, RDS)
NoSQL systems (DynamoDB)
Vector databases (e.g., Pinecone, OpenSearch, pgvector, etc.)
Optimize data access patterns for low-latency AI applications
Implement secure and scalable data pipelines
4. Infrastructure as Code
Provision and manage infrastructure using AWS CloudFormation
Maintain reproducible, version-controlled infrastructure
Support CI/CD pipelines and automated deployment workflows
5. AI Agents & Workflow Orchestration
Design and implement AI agent architectures
Build multi-step workflows using Step Functions or equivalent orchestration tools
Integrate tool use, memory systems, and external APIs into agent pipelines

What We're Looking For:
4+ years of backend or platform engineering experience
Strong proficiency in Python
Production experience with FastAPI or similar API frameworks
Deep experience with AWS serverless and event-driven architectures
Experience building distributed systems with asynchronous messaging (SQS, EventBridge)
Working knowledge of both SQL and NoSQL databases
Experience designing or implementing vector search / RAG systems
Strong understanding of infrastructure as code, specifically CloudFormation
Familiarity with AI/LLM integration patterns and agent-based systems

What Success Looks Like
AI services deployed reliably via reproducible IaC
Event-driven systems that scale without tight coupling
Clean, well-documented APIs powering agent-based workflows
Low-latency retrieval pipelines leveraging vector databases
Infrastructure that is cost-aware, observable, and resilient

WHAT DO WE OFFER

💵Competitive USD salary
🌴20 business days of vacation per year + 6 National holidays
🐣Family Leave
💻A dynamic remote work culture. You can work from Anywhere!
🚀An entrepreneurial environment.

ABOUT US:

In 2010 our founders dreamed up a company that could positively impact the world. Since then, we are in permanent evolution and revolution that brings us closer to our goal.

At first, we did it through business consulting. Then, we shifted towards innovation and design. And now, we've decided to go the Arionkoder way: entrepreneurial vision and creativity are in our DNA, and this is the time to turn them into a tangible reality. That s why we create amazing digital products with the power to impact lives.

We have been dreamers and we still are. We loved it and looked forward to the next revolution!