AI Backend Engineer

About AllCloud

AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.

AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.

AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io

Job Summary

We are seeking a highly skilled and self-motivated AI Backend Engineer to join our growing R&D team. In this role, you will play a key part in the design, development, and deployment of our next-generation backend services, AI-driven workflows, and GenAI applications.

We are looking for a seasoned engineer who is passionate about building robust, scalable systems and has a proven track record of integrating cutting-edge LLM technologies into production. You will work closely with architects and product teams to turn complex AI concepts into reliable, high-performance backend solutions.

Key Responsibilities

Feature Development: Design and build high-performance, resilient, and scalable backend services using Python.
AI Implementation: Integrate LLMs using AWS Bedrock and other GenAI frameworks to create innovative, AI-powered solutions.
Workflow Orchestration: Design and implement complex, end-to-end event-driven architectures utilizing AWS Step Functions.
System Architecture: Contribute to the design of distributed systems, ensuring they meet high standards for performance and scalability.
Code Quality: Write clean, maintainable, and well-tested code, participating in code reviews to ensure best practices across the stack.
Collaboration: Partner with Product, Data Science, and DevOps teams to translate business requirements into technical implementations.
Problem Solving: Maintain a hands-on approach to troubleshooting, optimizing, and technical problem-solving within the GenAI ecosystem.

Requirements:

Backend Expertise: 5+ years of experience in backend software engineering, with at least 3 years of hands-on experience with AWS services.
Python Proficiency: Expert-level Python skills for building complex backend applications.
GenAI & RAG: Practical experience with Retrieval-Augmented Generation (RAG) frameworks and LLM orchestration.
AI-Driven Workflows: Proven experience building systems that combine structured logic with LLM reasoning.
AWS Bedrock: Direct experience integrating and fine-tuning LLM interactions via AWS Bedrock.
Core AWS Stack: Strong knowledge of Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3.
Scalability: Proven ability to develop and maintain large-scale, high-availability systems.
Event-Driven Architecture: Experience with Kafka or other high-throughput event-streaming systems.
Orchestration Tools: Deep expertise with AWS Step Functions.
Observability: Proficiency with AWS monitoring tools like CloudWatch and X-Ray.
Modern Infrastructure: Experience with Docker, Kubernetes (EKS), and microservices environments.
Domain Experience: Experience in production-grade systems within fintech, enterprise SaaS, or other regulated industries.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.