AI Solutions Engineer (Remote, Mexico)

We build secure, source-grounded AI agents for industrial companies. Your job : design, chain, and ship them end-to-end. What you’ll do Own solution design : pick the right model and tools for the job (reasoning, extraction, tool-use, reranking), compare vendors, run bake-offs, and explain trade-offs. Engineer prompts & chains : system prompts, tool / function calling, JSON-schema outputs, guardrails, and multi-step orchestration. Build the glue software : Python / TypeScript services (FastAPI / Node), Docker, CI / CD, observability (latency, cost, traces). Ship production RAG : chunking / segmentation, hybrid search (BM25embeddings), rerankers, vector / graph stores, caching, and eval harnesses. Orchestrate workflows : use our agent builder to build the agent skeleton, configure webhooks, and connectors into CRM / ERP / PLM and data lakes. Enforce safety & security : authZ / authN, least-privilege data access, PII minimization, audit logs, red-team tests. Partner with customers : turn messy requirements into working agents; measure impact and iterate quickly. What you bring Fluency selecting and using frontier and open-source LLMs (OpenAI, Anthropic, Google, Meta, Mistral, etc.) plus embeddings, re-rankers, and small task-specific models. Strong prompt design skills and practical chaining / orchestration experience (Langflow, LangChain / LlamaIndex or equivalent—plus your own lightweight patterns). Hands-on RAG builds in production (not just demos) : data pipelines, evals (e.g., RAGAS / DeepEval / custom), and quality / latency / cost trade-offs. Comfortable writing real software : Python / TypeScript, APIs, testing, Docker, cloud (AWS / GCP / Azure). Workflow tooling : you’ve automated with n8n, Zapier or other agent and workflow building tools and know when to replace them with code. Up-to-date on the AI tool landscape; you track releases, run quick experiments, and keep us current. Nice to have UI chops (Next.js / React) for simple operator / customer surfaces. Data / connectors : SQL, REST, GraphQL, message queues. Industry context in manufacturing / industrial automation (PLCs, SCADA, servos, motors, etc) a plus. How we work Small team, high ownership. You build, ship, and measure. We optimize for reliable, verifiable answers, grounded in the customer’s data. Fast iterations, real users, clear KPIs.