AI Engineer

Job Description

• Develop and integrate LLM-powered applications and services

• Build and improve RAG pipelines, including document processing, embeddings, retrieval, and generation

• Design and implement AI Agents and agentic workflows

• Integrate tools, function calling, APIs, and external services into AI workflows

• Experiment with different models, prompts, and AI techniques to improve application quality

• Develop and maintain AI services and APIs

• Deploy and monitor AI applications in Linux/Docker environments

• Evaluate model performance, reliability, and response quality

• Troubleshoot and optimize AI applications and inference performance

• Collaborate with software engineers and other teams to deliver production-ready AI solutions

Job Qualification

• Proficiency in Python and experience building AI/ML applications

• Understanding of LLMs, embeddings, RAG, and prompt engineering

• Understanding of AI Agents and agentic workflows

• Familiar with tool calling, function calling, and multi-step AI workflows

• Experience with LLM APIs and AI application frameworks

• Familiar with vector databases such as Milvus, Weaviate, or Chroma

• Basic understanding of LLM inference and deployment

• Familiar with Docker and Linux

• Basic knowledge of REST APIs and databases

• Experience with vLLM, SGLang, or Hugging Face is a plus

• GPU/CUDA and LLM performance optimization knowledge is a plus

• Strong problem-solving and troubleshooting skills