AI Engineer

About the Role : As an AI Engineer at Solverminds, you’ll build LLM-powered features and agents that bring AI into our maritime software products, working with experienced AI engineers to take ideas from prototype to production. Responsibility: • Build and integrate LLM-powered features and agents using LangChain/LangGraph, including tool use, memory, and multi-agent workflows (MCP, A2A). • Implement and maintain evaluation and regression tests for non-deterministic LLM outputs, working with senior engineers on eval design. • Take AI features from prototype to production, covering implementation, testing, deployment, and monitoring. • Keep up with new models, agent frameworks, and tooling; run small experiments and share findings with the team. • Write clean, maintainable, well-tested Python and take part in code review. • Document system designs, prompt/context strategies, and evaluation results. Required Skills & Experience : • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. • A couple of years of professional software engineering experience in Python, including at least 1 year building LLM-powered applications. • Hands-on experience with FastAPI, Pydantic, and async Python. • Experience building with LangChain/LangGraph or a comparable agent framework. • Working understanding of how LLMs work (tokenization, context windows, embeddings, transformer basics) and familiarity with both frontier and open-source models. • Familiarity with common agent design patterns: ReAct, planning, reflection, tool use, memory, and multi-agent handoff. • Daily use of AI coding assistants (e.g. Cursor, Claude Code). • Clear communication and the ability to work with product and engineering teams. Desired : • MCP server/client integration; exposure to the A2A protocol. • LLM testing and QA experience, including regression testing, red-teaming, and safety evaluation. • Prompt and context engineering, and RAG pipeline design and optimization (chunking, retrieval, reranking, vector databases). • Azure AI services (Azure AI Foundry, Prompt Flow, Azure OpenAI Service). • LLM observability tools (e.g. LangSmith, Langfuse)