{"@context":"https://schema.org/","@type":"JobPosting","title":"AI/ML Engineer","description":"

About Sledge

From bid to build to paid. From the office to the field to the entire company. Sledge is Construction AI.\n\nSledge is the agentic, AI-native operating system for construction, handling the busywork of running a construction business so builders can spend more time building and less time on paperwork. Built for subcontractors and small to mid-size general contractors, Sledge is already live with a growing group of beta users. The AI isn't a feature bolted onto Sledge, it's the core of the product.

About the role

Sledge is hiring an ML/AI Engineer to build and run the AI systems that make Sledge Construction AI, not just construction software with a chatbot bolted on. Sledge already runs a multi-agent AI system in Python and FastAPI, with Pinecone for vector storage, and an internal agent fleet that includes agents like Forge, Mimir, Anvil, Mason, Beacon, Scout, Warden, Crane, and Vault. This role reports to Sledge's engineering team and works hands-on inside that system, not around it.\n\nThis is a build role, not a research role. Sledge needs agents that work reliably in production, on a weekly deployment cadence, not a paper or a demo.

What you'll do

Build, extend, and maintain Sledge's multi-agent AI system, built in Python and FastAPI\nDesign and improve retrieval and vector search using Pinecone\nBuild and refine the agents in Sledge's internal fleet, and design new ones as Sledge needs them\nWrite and tune prompts, and build the evaluation loops that catch when an agent gets worse, not just better\nFine-tune or train models when prompting and RAG aren't enough to get the job done\nWork with the rest of engineering to ship AI features on Sledge's weekly deployment cadence\nWork with QA to get AI features properly tested, including through Sledge's Playwright-based testing tool\nDebug and improve agents in production, not just in a notebook

What we're looking for

Must-haves\n\nRequired: hands-on production experience building with LLMs, not just personal projects or coursework\nRequired: strong Python skills, comfortable in a FastAPI-style backend\nRequired: hands-on experience building RAG pipelines, from chunking and embeddings through retrieval and reranking\nRequired: experience training or fine-tuning models, not just prompting a hosted API\nReal experience with vector databases beyond knowing the term: indexing strategies, embedding models, and retrieval quality, ideally including Pinecone\nExperience building or working with multi-agent systems, including agent-to-agent orchestration and handoffs, not just a single agent calling tools\nComfortable owning an AI feature from prototype to production, not just the model itself\nComfortable moving at startup speed, shipping weekly\n\nNice-to-haves\n\nExperience with agent orchestration approaches or frameworks, and a clear opinion on when to use one versus build custom\nFamiliarity with LLM evaluation techniques: evals, hallucination detection, and prompt regression testing\nA habit of following LLM and agent research and turning it into something that ships, not just reading it\nExperience with TypeScript, Next.js, or Express\nExperience with Supabase, PostgreSQL, or Drizzle ORM\nExperience with AWS\nInterest or experience in construction, trades, or B2B software

Perks and benefits

Fully remote, work from anywhere in the world\nFlexible hours, work when you're most productive\nDirect access to the founding team and engineering, no layers of management\nYou're building the actual AI core of the product, not a wrapper around someone else's model\nShip weekly, see your work in production fast

How to apply

Sledge is fully remote worldwide with flexible hours. Send your resume and a short note on a bug you caught that would have been bad if it shipped. Sledge reviews every application personally.

Equal opportunity

Sledge is an equal opportunity employer. Sledge welcomes applicants of every background and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.

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