AI Automation / Backend / Platform Engineer building DriveDesk: operations workflows, integrations, RAG, FastAPI/PostgreSQL backends, Docker, CI, runbooks, and recovery paths for real business processes.
Now open for remote-only full-time roles and fixed-scope projects where the output is a working system, not a demo shell. Best immediate starts: AI workflow automation, CRM/ERP/API adapter, backend/platform slice, DevOps recovery sprint, or DriveDesk AI Operator-style proof route.
Search-fit titles: Back End Developer, Python Developer, AI Automation Engineer, Artificial Intelligence Engineer with a workflow/backend focus, Platform Engineer, DevOps Engineer, Integration Engineer.
Fast public review / hiring decision: Hiring Decision -> Role Targets -> DriveDesk Proof Route -> AI-readable proof index -> pinned proof repos -> skill evidence -> first month plan -> PDF resume
60-second proof map: DriveDesk Proof Route -> AI Ops live owner proof -> DriveDesk Core -> role fit.
Inbound / contact: Message on LinkedIn with one role, workflow, or project; one success condition; and the systems involved. For proof first, start with DriveDesk Proof Route, Work With Me, PDF resume, or Start Conversation. Decision routes: Contact Routes, Inbound Brief, LinkedIn Services, and Services. Fast fit checklist: message me when the work is remote-only and needs a backend-owned AI workflow, CRM/ERP/API integration, internal operations tool, DevOps recovery/hardening path, or one first working slice with tests, logs, docs, and a handoff route. I am not positioning for onsite-only roles, pure prompt/content tasks, isolated static websites, student/course assignments, standalone game clones, generic mobile/ecommerce apps without backend/integration ownership, or vague work where success cannot be defined.
| Send me | Best match | Fast proof |
|---|---|---|
| Remote full-time role | Back End Developer, Python Developer, AI Automation Engineer, Platform Engineer, DevOps Engineer, integrations, internal tools, Python/FastAPI/PostgreSQL, Docker/CI. | Hiring decision, Role targets, first month plan, PDF resume |
| Fixed-scope project | One messy workflow, one success condition, and a working slice with tests, logs, docs, and handoff path. | Work with me, Fixed-scope offers, Start conversation |
| Technical proof review | Code, CI, live smoke, runtime boundaries, adapter contracts, runbooks, and public-safe evidence. | Verification pack, AI Ops proof status |
DriveDesk AI Operator is the sharpest current proof direction: a company uploads documents, call audio, transcripts, or CRM leads; the backend runs RAG, transcript analysis, lead scoring, task extraction, follow-up drafting, Telegram approval, and CRM handoff with state, audit, retries, idempotency, and adapter contracts owned outside no-code nodes.
Since March 2024, I have supported Autoschool54 digital infrastructure remotely while turning real operational problems into a broader platform direction: admin workflows, documents, schedules, payments, accounts, access, automation, deployment, logs, backups, and recovery paths.
| Proof | What to inspect |
|---|---|
| Selected proof projects | DriveDesk AI Operator, DriveDesk Core, AI Ops Workflow Kit, and DeployMate as inspectable project surfaces. |
| DriveDesk Core | FastAPI/PostgreSQL operations platform foundation: tenants, RBAC, audit/outbox, adapters, OpenAPI, Docker, pytest, CI, docs, public demo. |
| AI Ops Workflow Kit | RAG workflow backend: document intake, transcript analysis, approvals, Telegram callback, dry-run Bitrix CRM handoff, outbox, live API, CI, smoke checks. |
| Live owner proof | Real Telegram approval evidence with CRM-safe outbox handoff and Bitrix dry-run boundary. |
| DeployMate | Self-hosted Docker deployment control panel: FastAPI/Next.js/PostgreSQL, SSH runtime tooling, CI/CD, health checks, evidence bundles, review packet, runbooks. |
| MPlusForm | Validation-boundary automation proof: Python sync pipeline, server-approved snapshots, Windows operations docs, Lua addon. |
| Need | My ownership surface |
|---|---|
| AI workflow / RAG automation | Ingestion, retrieval, analysis, scoring, approvals, operator docs, tests, and metrics. |
| CRM/ERP/accounting/banking integration | Explicit adapters, mappings, retries, logs, idempotency, rollout notes, and recovery path. |
| Internal ops platform | FastAPI/PostgreSQL backend, admin UI, roles, audit trail, workflows, deployment, runbook. |
| DevOps / self-hosting hardening | Docker, CI/release gates, health checks, logs, backups, smoke checks, and rollback procedure. |
AI tooling is part of my engineering workflow: domain research, decomposition, implementation options, code/script generation, debugging, docs, tests, and review move faster. I still own the architecture, state, security boundaries, verification, deployment, logs, fixes, and shipped quality.
- Role fit and role targets
- Selected proof projects and case studies
- DriveDesk AI Operator
- First month plan
- Verification pack
- Work with me and fixed-scope offers
- Start conversation
- LinkedIn: linkedin.com/in/alex-gerlitz-a659ab3bb
- LinkedIn Services: linkedin.com/services/page/3153b734507b8a60ab
- GitHub: github.com/AlexGerlitz