AI Backend Engineer

About the Role We are looking for a strong backend engineer who can work across our existing PHP backend while helping us build the next generation of AI-powered product capabilities.\nThis is not a pure AI research role. We need someone who can ship production software, work with real customer data, build reliable backend systems, and apply AI/LLMs practically inside a SaaS product.\nYou will work on core backend development in PHP, build AI agents and automation workflows in Python, integrate LLMs and vector databases, and support data pipelines, ETL processes, and ML-driven product features.\nThe ideal candidate is a hands-on engineer who is comfortable maintaining existing systems while also building new AI-native capabilities from the ground up.\n\nResponsibilities\n\nBuild, maintain, and improve backend features in our existing PHP application.\nDevelop AI agents and automation workflows using Python.\nIntegrate LLMs such as OpenAI, Claude, Gemini, or similar models into product features.\nBuild RAG-based systems using embeddings, vector databases, and document retrieval.\nWork with frameworks and tools such as LangChain, LlamaIndex, or similar AI orchestration libraries.\nDesign APIs, backend services, background jobs, and data processing workflows.\nBuild and maintain ETL pipelines to move, clean, transform, and structure data.\nWork with structured and unstructured data from CRMs, conversations, customer records, emails, websites, and third-party integrations.\nImplement prompt pipelines, tool/function calling, intent classification, memory, and agent workflows.\nCollaborate with product, engineering, and leadership to turn business problems into AI-powered features.\nMonitor, debug, and improve AI output quality, latency, cost, and reliability.\nWrite clean, maintainable, testable code.\nSupport integrations with third-party APIs and internal systems.\nHelp modernize parts of the backend architecture over time.\n\nRequired Skills Strong backend development experience.\nHands-on experience with PHP .\nStrong experience with Python .\nExperience building APIs, backend services, and data-driven applications.\nPractical experience working with LLM APIs such as OpenAI, Anthropic Claude, Gemini, or similar.\nUnderstanding of AI agent concepts, prompt engineering, function calling, and structured AI outputs.\nExperience with embeddings, vector search, RAG, or vector databases.\nFamiliarity with LangChain, LlamaIndex, or similar frameworks.\nStrong SQL skills and comfort working with relational databases.\nUnderstanding of ETL concepts, data pipelines, data cleaning, and transformation.\nFamiliarity with core machine learning concepts such as classification, prediction, embeddings, model evaluation, training vs inference, and feature engineering.\nAbility to debug production issues and work in an existing codebase.\nStrong problem-solving ability and ownership mindset.\n\nNice to Have Experience with CodeIgniter, Laravel, or other PHP frameworks.\nExperience with Node.js or React.\nExperience with queue systems, cron jobs, workers, webhooks, and background processing.\nExperience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Qdrant, or pgvector.\nExperience with CRM, marketing automation, customer support, or messaging platforms.\nExperience with voice AI, chatbots, customer service automation, or sales automation.\nExperience with cloud platforms such as Azure, AWS, or GCP.\nExperience with data warehouses, analytics pipelines, or BI tools.\nExperience with model evaluation, AI guardrails, observability, and cost optimization.