AI Engineer — LLM / VLM

Role overview

We are looking for an AI Engineer specializing in Large Language Models (LLMs) and Vision-Language Models (VLMs) to design, develop, and deploy production-grade AI solutions. The ideal candidate should have strong experience with LLM/VLM architectures, prompt engineering, RAG, fine-tuning, multimodal AI, and model serving

Key responsibilities

• Develop and deploy AI applications using LLMs and VLMs.
• Build RAG pipelines involving document ingestion, chunking, embeddings, retrieval, reranking, and generation.
• Work with models such as GPT, Claude, Gemini, Llama, Mistral, Qwen, and multimodal/VLM models.
• Develop multimodal solutions involving text, images, PDFs, charts, tables, and documents.
• Perform prompt engineering, supervised fine-tuning, LoRA/QLoRA, and model evaluation.
• Build AI agents and tool-calling workflows where appropriate.
• Optimize inference for latency, throughput, memory, and cost.
• Develop APIs and production services using Python, FastAPI, Docker, and cloud platforms.
• Implement evaluation frameworks to measure accuracy, hallucination, relevance, latency, and safety.
• Collaborate with ML engineers, software engineers, and product teams to take prototypes into production