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.
Recruiter shortcut / 30-second screen: start with the LinkedIn Recruiter Packet for shortlist signal, risk reduction, AI execution proof, and message triggers, then check Recruiter Preferences, Hiring Decision, Role Targets, Skill Evidence, and the PDF resume. Best match: backend/platform, AI automation, CRM/ERP/API integration, internal tools, or DevOps ownership. International team fit: English-first docs, async proof routes, integration contracts, privacy boundaries, CI, runbooks, and operational handoff quality.
| Decision path | Start here | What it proves |
|---|---|---|
| Hiring for a remote role | Hiring Decision -> PDF resume | Role fit, first-month ownership, search keywords, and proof order. |
| Reviewing technical depth | AI Backend Proof Pack -> DriveDesk Proof Route -> Enterprise Readiness | Backend-owned state, RAG quality, adapter contracts, CI, runbooks, and recovery paths. |
| Sending project work | Services -> Start Conversation -> LinkedIn Services | proposal-ready request shape: current workflow, systems involved, one observable success condition, constraints, and what must not break. |
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.
LinkedIn recruiter search alignment: remote-only full-time roles where Python, FastAPI, PostgreSQL, Docker, GitHub Actions, RAG, Vector Databases, CRM/ERP/API integration, Systems Integration, DevOps, OpenAPI, n8n, Telegram, or pgvector appear in the role.
Best immediate starts: AI workflow automation, CRM/ERP/API adapter, backend/platform slice, DevOps recovery sprint, or DriveDesk AI Operator-style proof route.
Fast public review: AI Backend Proof Pack, DriveDesk Proof Route, Enterprise Readiness, Flagship Platform, Selected Proof Projects for pinned proof repos, case studies, AI Ops live owner proof, and role fit.
Inbound / contact: Message on LinkedIn with one role, workflow, or project; one success condition; and the systems involved. Decision routes: Decision-Ready Contact, Contact Routes, Inbound Brief, Work With Me, LinkedIn Services Fit, and Services.
Message reason router: use Start Conversation to choose remote role hiring, workflow/project, or technical proof review before sending LinkedIn context.
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, privacy redaction, adapter contracts, runbooks, and public-safe evidence. | Verification pack, AI Ops proof status |
DriveDesk AI Operator is the sharpest current proof direction: documents, call audio, transcripts, or CRM leads -> RAG, analysis, scoring, tasks, Telegram approval, and CRM handoff with backend-owned state, audit, retries, idempotency, and adapter contracts. The larger DriveDesk Flagship Platform connects that slice to roles, records, workflows, adapters, audit/outbox, admin/operator surfaces, DevOps, observability, backups, and recovery paths.
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, DeployMate, and MPlusForm 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, privacy redaction before RAG/approval/CRM handoff, deterministic RAG quality eval (rag_eval=2/2), transcript analysis, approvals, Telegram callback, dry-run Bitrix CRM handoff, idempotent outbox, live PostgreSQL/pgvector runtime (storage=postgres), restart persistence proof, CI, and 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, and public verification run. |
| 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.
- LinkedIn: linkedin.com/in/alex-gerlitz-a659ab3bb
- LinkedIn Services: linkedin.com/services/page/3153b734507b8a60ab