AI Backend Engineer

TL;DR

AI Backend Engineer (Python/AWS/GenAI): Design and develop high-performance backend services and AI-driven workflows with an accent on LLM integration via AWS Bedrock and scalable event-driven architectures. Focus on implementing RAG frameworks, orchestrating complex workflows with Step Functions, and building resilient distributed systems for production-grade GenAI applications.

Location: Not specified (offices in EMEA and North America)

Company

Leader in AI-led professional and managed cloud services for AWS and Salesforce, serving global clients.

What you will do

• Design and build scalable backend services using Python.
• Integrate LLMs with AWS Bedrock and GenAI frameworks for AI-powered solutions.
• Implement end-to-end event-driven workflows using AWS Step Functions.
• Contribute to distributed system architecture for performance and scalability.
• Write clean, tested code and participate in code reviews.
• Collaborate with Product, Data Science, and DevOps teams on technical implementations.
• Troubleshoot and optimize GenAI systems.

Requirements

• 5+ years backend engineering, 3+ years with AWS services.
• Expert Python for complex backend applications.
• Experience with RAG, LLM orchestration, and AI-driven workflows.
• Direct experience with AWS Bedrock for LLM integration.
• Strong knowledge of Lambda, API Gateway, DynamoDB, Aurora/Postgres, S3.
• Event-driven architecture with Kafka or similar.
• Expertise in AWS Step Functions, CloudWatch, X-Ray.
• Experience with Docker, Kubernetes (EKS), microservices.
• Production experience in fintech, enterprise SaaS, or regulated industries.

Culture & Benefits

• Work in a growing global R&D team focused on innovation.
• Opportunity to build next-generation AI and cloud solutions.
• Equal opportunity employer.