AI Software Engineer

AI Software Engineer — AM100 Law Firm — Atlanta I'm working directly with the Head of Enterprise Architecture and Applications at an AM100 law firm that's investing heavily in AI adoption and innovation across the enterprise. As part of that build-out, they need a hands-on Software Engineer who can design and ship production AI infrastructure, not just consume APIs on top of someone else's platform. This is a build role. You'd be working on the systems that make the firm's AI initiatives actually function: retrieval pipelines, vectorization, data ingestion, and the plumbing that turns raw firm data into something generative AI tools can reliably use. What you'll be doing: • Architecting and maintaining data-retrieval and RAG infrastructure, including ingestion pipelines, indexing, and vectorization at scale. • Working across the full stack from cloud-native backend services through to the interfaces that expose AI capability to end users. • Translating business and stakeholder requirements into technical architecture in an environment where the AI roadmap is still being defined, so judgment matters as much as raw execution. Building monitoring and reliability into AI systems so they hold up in a professional services environment where accuracy and auditability matter. What we're looking for: • Four-plus years of software engineering experience with direct, hands-on work building RAG systems, vector databases, or large-scale data pipelines in production, not just personal projects. Strong proficiency in C# and Python. • Cloud-native development experience, ideally Azure, including serverless and managed data services. • Comfortable working with NLP, embeddings, and LLM-adjacent tooling in a real production context. • Experience translating ambiguous business requirements into technical scope, since this firm's AI function is still being built out. If you're currently building AI infrastructure and want to bring that experience into a legal industry environment that's investing seriously in AI right now, I'd like to talk.