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.