AI Engineer — LLM VLM

Role Overview

We are looking for anAI 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 usingLLMs and VLMs.
• BuildRAG pipelinesinvolving document ingestion chunking embeddings retrieval reranking and generation.
• Work with models such asGPT Claude Gemini Llama Mistral Qwen and multimodal/VLM models.
• Develop multimodal solutions involvingtext images PDFs charts tables and documents.
• Performprompt engineering supervised fine-tuning LoRA/QLoRA and model evaluation.
• Build AI agents and tool-calling workflows where appropriate.
• Optimize inference forlatency throughput memory and cost.
• Develop APIs and production services usingPython FastAPI Docker and cloud platforms.
• Implement evaluation frameworks to measureaccuracy hallucination relevance latency and safety.
• Collaborate with ML engineers software engineers and product teams to take prototypes into production.

Required Skills

• Strong Python programming and software-engineering fundamentals.
• Hands-on experience withLLMs and/or VLMs.
• Strong understanding ofTransformers attention mechanisms tokenization embeddings and inference.
• Experience withPyTorchand Hugging Face Transformers.
• Experience buildingRAG systemsand vector-search solutions.
• Knowledge ofprompt engineering and LLM evaluation.
• Experience with APIs REST services Git Docker and CI/CD.
• Familiarity with vector databases such asFAISS Milvus Pinecone Weaviate or pgvector.
• Understanding of cloud AI infrastructure preferably AWS/Azure/GCP.

VLM / Computer Vision Skills

• Experience with multimodal models such asQwen-VL LLaVA Gemini GPT vision models or similar.
• Understanding of image preprocessing and document/image understanding.
• Experience withOCR document intelligence image classification object detection or visual question answeringis a plus.
• Ability to build pipelines combiningvision language retrieval.

Required Experience:

Senior IC