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
AI Platform & Service Development: design and implement backend services using Python and FastAPI
Build production‑grade 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
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
Data & Storage Systems: model and manage data across relational databases (SQL, RDS), NoSQL systems (DynamoDB), vector databases (e.g., Pinecone, OpenSearch, pgvector)
Optimize data access patterns for low‑latency AI applications; implement secure and scalable data pipelines
Infrastructure as Code: provision and manage infrastructure using AWS CloudFormation; maintain reproducible, version‑controlled infrastructure; support CI/CD pipelines and automated deployment workflows
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!