AI Engineer

We are looking for an AI Engineer with 3+ years of hands-on experience building AI-enabled solutions using both open-source and closed-source AI models. This role is focused on practical implementation: designing, integrating, and deploying AI-powered features, workflows, and applications that solve real business problems.

The ideal candidate should have strong experience working with modern LLMs, AI APIs, open-source model ecosystems, and production-grade AI application development. Traditional machine learning experience is a plus, but not mandatory.

Key Responsibilities

Build AI-enabled applications, tools, and workflows using large language models and related technologies.Work with both closed-source models such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, etc., and open-source models such as Llama, Mistral, Qwen, DeepSeek, Falcon, or similar.Design and implement LLM-powered solutions including chatbots, copilots, automation agents, document intelligence systems, search experiences, and workflow assistants.Build and optimize RAG pipelines using embeddings, vector databases, chunking strategies, retrieval logic, and prompt orchestration.Integrate AI models into web applications, backend systems, APIs, and internal tools.Evaluate model outputs for accuracy, reliability, latency, cost, and user experience.Experiment with prompt engineering, function calling, tool use, agents, structured outputs, and AI workflow orchestration.Collaborate with product, engineering, an