About Us AtBonsenAI , we redefine AI innovation for enterprise customers across the US, Australia, and New Zealand. As pioneers in secure and scalable AI workflows, we deliver impactful AI solutions rapidly, combining cutting-edge technology with unparalleled efficiency. We're assembling anelite engineering teamthat leverages AI to transform ideas into production-ready software at unprecedented speed. Join us in shaping the future of AI with meaningful solutions for global enterprises.Key Responsibilities AI Solution Architecture & Agentic AI:Design end-to-end AI solutions using OpenAI, LangChain, and proprietary frameworks. Build production RAG systems, chatbots, and data pipelines with agentic workflows for autonomous planning, retrieval, and tool-calling. Backend Systems & APIs:Build scalable APIs and microservices (FastAPI), integrating multiple LLM providers (Azure OpenAI, Bedrock, Gemini). Develop vector search solutions (Azure AI Search/Vertex AI/PgVector) with streaming and caching optimisation. Technical Leadership & Mentoring : Lead 1–3 engineers (scaling to 5), own AI architecture/implementation decisions, and drive cross-functional integration into enterprise workflows. Mentor juniors and run code reviews. DevOps & Infrastructure Management : Design CI/CD pipelines (GitHub Actions/Azure DevOps). Provision infrastructure via Terraform. Deploy AI applications using Docker/Kubernetes/Azure Container Apps with automated deployment and monitoring. Engineering Excellence:Enforce SOLID principles, clean architecture, and design patterns. Champion CI/CD quality gates, comprehensive testing, and secure-by-default development with clear documentation. System Architecture & Integration:Architect agentic AI workflows (planner-executor, multi-agent, tool-use) over RAG stacks; implement hybrid search with rerankers, semantic & prompt caching, and intelligent routing; enforce guardrails and SLOs for secure, reliable, cost-efficient enterprise integration.Required Skills and Qualifications AI/LLM:Production RAG systems, agentic workflows, multi-agent systems, chatbots. Proficient in Azure AI Search, Pinecone and FAISS. Backend:4+ years Python (FastAPI/Django/Litestar), REST APIs, microservices, design patterns. Leadership : 2+ years leading engineering teams (1-5 engineers). Experience in stakeholder presentations and technical decision ownership. Cloud/DevOps:Azure services (AKS, App Services, Key Vault, AD), Terraform, Docker, Kubernetes, CI/CD (Azure DevOps/GitHub Actions), secure coding practices. Practices:Unit testing, automated testing, Git workflows, SOLID, clean code standards.Nice-to-Have Azure Certifications(Azure AI Engineer Associate, Azure Solutions Architect Expert or Azure DevOps Engineer Expert) Microsoft ecosystem integration (Teams/SharePoint/Graph API). Experience with reinforcement learning, Multi agentic swarm systems, and custom model training. Active contributions to open-source AI/DevOps projects. Soft Skills Leadership:Coach engineers and run crisp code reviews that lift quality and shared understanding. Psychological safety & candor:Create an environment where people speak up, take risks, and learn fast. Stakeholder fluency:Translate complex tech into clear options, trade‑offs, and business impact. Outcome ownership:Bias to action and product thinking; drive end‑to‑end results. Adaptability:Thrive in fast‑changing, AI‑driven contexts; keep skills current.Why Join Us? Ownership:Lead client solutions from concept to ROI. Growth & leadership:Lead technical initiatives, mentor junior engineers, and shape the engineering culture in a growing team. Impact:Ship reliable, enterprise‑grade AI used at scale. Modern stack:Work with cutting-edge technology in a collaborative, innovation-driven environment. Flexibility that works:Hybrid options with a focus on great team practices, not rigid mandates. Competitive rewards:Strong pay and clear advancement paths
Job Title
Senior AI Backend Engineer