**About The Client**: We’re an operations consulting firm that modernizes SMBs by optimizing their software stack, automating workflows, and deploying practical AI (agents, RAG, copilots). You’ll work across diverse client environments and ship measurable outcomes fast. **Role Summary** Own the design, build, and maintenance of production-grade automations and AI solutions across mixed client stacks. You’ll combine hands-on Python engineering with n8n orchestration, the Microsoft ecosystem, and direct client collaboration. **What You’ll Do** - **Automations & Integrations**: Design n8n (primary) workflows; integrate CRMs/PM tools/ERPs/accounting; implement retries, idempotency, alerts, and runbooks. - **AI Solutions**: Build agents, RAG search, document QA, summarization, and routing; evaluate prompts/tools; add guardrails and usage analytics. - **Python Services**: Ship FastAPI microservices, background jobs, schedulers; package/version; instrument logs/metrics/traces; CI/CD. - **Data & Analytics**: Model clean data sets; support Power BI dashboards and scheduled refreshes. - **Security & Governance**: Manage secrets, least-privilege, PII handling; document data flows. - **Consulting & Enablement**: Join client calls, translate business needs to technical plans, communicate trade-offs; deliver SOPs and short how-to videos. **Success Metrics (KPIs)** - Brief → production **cycle time**: - **Hours/$ saved** per automation (tracked) - **Defect rate/MTTR** and alert coverage - **Adoption** (active users, throughput) + sponsor NPS - **Documentation** completeness (diagram + SOP per deliverable) **Requirements**: - 4+ years with **Python** (FastAPI/Flask, asyncio, typing, packaging). - Production **n8n** (or Make/Zapier/Power Automate) with error handling & observability. - **AI engineering**: function/tool use, embeddings/vector stores, evaluation basics; OpenAI/Azure OpenAI; one agent framework (LangChain/LlamaIndex/AutoGen/CrewAI). - **APIs & Data**: REST/GraphQL, OAuth2, pagination/rate limits; SQL (Postgres/MySQL); ETL patterns. - **Cloud & DevOps**: Docker, GitHub Actions, IaC basics; deploy to **Azure** or AWS. - **Microsoft ecosystem** familiarity (Power Automate, SharePoint/OneDrive, Teams, Power BI). - Client-facing communication and crisp technical writing. **Nice to Have**: - Twilio/O365/Gmail APIs; document parsing - OCR; pgvector/Pinecone; basic React. **Schedule**: 1pm-5pm EST **Job Type**: Part-time Expected hours: 20 per week Application Question(s): **Experience**: - Python (FastAPI/Flask, asyncio, typing, packaging).: 4 years (required) - AI engineering: 1 year (required) - Cloud & DevOps: 1 year (required) - APIs & Data: 1 year (required) - Microsoft ecosystem: 1 year (required) **Language**: - English (required)