AI Engineer

We are looking for a hands-on AI Engineer who has built and shipped real-world applications using Generative AI, Large Language Models, and Django. This role is not about experiments or notebooks; it's about owning production-grade AI systems end to end. You will work on designing, building, and scaling AI-driven features that directly impact users, integrating LLMs deeply into backend systems, workflows, and products. Responsibilities Design and buildproduction-ready GenAI featuresusing LLMs (OpenAI, Anthropic, open-source models, etc. ) Architect and implementbackend services in Djangofor AI-powered workflows. Develop prompting strategies, structured outputs, and guardrails for reliability. Build and maintainend-to-end AI systems(API logic, persistence UI integration). Optimise for latency, cost, and accuracy in LLM-based systems. Implementretrieval-augmented generation (RAG), embeddings, and vector search. Handleevaluation, monitoring, and iterationof AI outputs. Collaborate with product and frontend teams to ship usable AI features. Write clean, testable, and maintainable code. Requirements 3+ years of professional experienceas a software or AI engineer. Strong hands-on experience withGenerative AI and LLMs. Proven experience buildingcomplete projectsusing: LLM APIs, Prompt engineering, and Structured JSON outputs. Strong backend experience with Python & Django. Experience integrating LLMs intoreal products, not just demos. Solid understanding of: REST APIs, Databases (Postgres preferred), Async/background processing. Comfortable working in fast-moving product environments. Experience with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, etc. ) Experience withtool calling/function calling. Familiarity withLangChain / LlamaIndex(or similar frameworks). Experience handlingprompt versioning and evaluation. Frontend exposure. Startup or SaaS experience. This job was posted by Hr Xtenav from XTEN-AV.