Backend Engineer - AI & LLM Systems

About the Role Stallion Group is building technology systems to automate and improve how our businesses operate. We are looking for a Backend Engineer with strong AI and LLM experience who can build the backend infrastructure behind these systems. You will work on real business problems across our companies, building APIs, data systems, AI assistants, RAG systems, agentic workflows and business automations. This is a hands-on engineering role. We are looking for someone who can take a requirement from an idea to a production-ready system. What You Will Do Design and build scalable backend services and APIs.Build backend systems using Python, FastAPI, PostgreSQL, Redis and REST APIs.Integrate LLMs such as OpenAI, Anthropic and Gemini into production systems.Build RAG systems that allow AI applications to work with company documents andinternal knowledge.Develop AI agents and automated workflows that interact with business systems.Build systems where AI can execute tasks while keeping human approval andoversight where required.Integrate internal applications with third-party APIs and enterprise software.Build data ingestion and processing pipelines.Work with databases, queues, background jobs and asynchronous services.Implement authentication, authorization, logging, monitoring and error handling.Deploy and maintain applications on AWS.Use Docker, Git and CI/CD to maintain reliable development and deployment processes.Write clean, maintainable and well-tested code.Work closely with product and business teams to understand problems and turn theminto working technology. AI & LLM Responsibilities You will be expected to have practical experience building applications with modern AI systems. This includes: LLM API integrationRAG systemsEmbeddings and vector databasesDocument processing and knowledge basesAI agents and agentic workflowsFunction/tool callingStructured LLM outputsPrompt and context managementLLM evaluation and reliabilityConnecting AI systems to business APIs and databasesHuman-in-the-loop AI systems You do not need to be an AI researcher. We are looking for someone who knows how to build reliable AI products and put them into production. Required Skills Backend Engineering 4–6 years of professional software engineering experience.Strong Python experience.Strong experience building production backend applications.Experience with FastAPI, Django or Flask.Strong SQL and PostgreSQL knowledge.Experience with Redis and background jobs.Good understanding of APIs, authentication and security.Experience with Docker.Experience deploying applications to AWS or another major cloud platform.Understanding of CI/CD and production software development practices.Strong Git and software development fundamentals. AI / LLM Hands-on experience building applications using LLMs.Experience with OpenAI, Anthropic, Gemini or similar APIs.Practical experience building RAG applications.Experience with vector databases and embeddings.Experience building AI agents or multi-step AI workflows.Understanding of tool/function calling.Experience connecting AI applications to external systems and APIs. Good to Have LangChain or LlamaIndexMCPOpen-source LLMsLocal/private AI deploymentsAWSKubernetesLLM evaluation and observabilityEnterprise automationExperience working with ERP, CRM, accounting or other business systems What We Expect From You We are looking for an engineer who can operate independently. You should be able to take a requirement such as: “Build an AI system that reads company documents, answers questions, retrieves information from our business systems and performs certain actions after human approval.” …and work through the entire engineering problem: Architecture → Backend → Database → APIs → LLM → RAG → Agents → Integrations → Testing → Deployment → Monitoring You should be comfortable making engineering decisions, questioning requirements when necessary and building systems that can actually be used by the business. Who This Role Is For This role is ideal for someone who has spent the last few years building backend systems and has developed strong hands-on experience with AI and LLM applications. We are not looking for: A pure ML researcher who doesn’t build production software.A traditional backend developer with only basic exposure to ChatGPT APIs.Someone who has only built demos or notebooks. We are looking for a strong software engineer who understands modern AI and can build production-grade AI-powered backend systems. Why Join Stallion Group? You will have the opportunity to work on technology that directly impacts real businesses and operations. Rather than building isolated prototypes, you will work on production systems, business automation and AI applications that are deployed across Stallion Group’s businesses. The role offers significant ownership and exposure across backend engineering, AI, automation, cloud infrastructure and product development.