Technical Writing Experts in Berlin

AI Platform Backend – Senior Developer

Hired to design and build an AI platform backend from the ground up, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.

Tasks and Responsibilities

• Architected and implemented a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a unified interface.
• Designed and developed a backend from the ground up in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure on Azure.
• Built real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for running AI influencer personas live at scale.
• Developed a media management service with cloud object storage integration for uploading and retrieving influencer-generated content.
• Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing the production error rate.

Tools and Technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum

• Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.

• ▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.

• Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
• Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
• Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
• Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
• Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
• Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
• Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.

• Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
• Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
• Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
• Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
• Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.

Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.

• IT training in theory and practice for IT specialists in application development and system integration

Responsibilities: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.

Activities:

• Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
• Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
• Developed automated data pipelines with Python, dbt, and GCP services for various data sources
• Built monitoring and alerting systems for real-time platform monitoring
• Implemented data versioning and quality checks at every layer
• Designed automated testing and deployment pipelines in GitLab and Bitbucket

Achievements:

• Doubled production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
• Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, reducing configuration errors to 0
• Delivered a complete end-to-end data platform at ~10 €/month in infrastructure costs
• Migrated 7 database tables with 0 downstream issues
• Removed 100 % of exposed credentials, eliminating dependency on external vendors
• Delivered 3-team integration in 1 sprint

• Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
• Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
• Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
• Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
• Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
• Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
• Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.

• Lead supplier development initiatives and strategic sourcing activities for critical manufacturing components
• Supplier Relationship Management
• Manage supplier qualification processes and establish long-term partnership agreements
• Drive procurement strategy alignment with business objectives and manufacturing requirements
• Supply Chain Optimization
• Oversee supplier performance evaluation and continuous improvement programs
• Cross-functional Team Leadership
• Coordinate cross-functional teams across R&D, procurement, and manufacturing divisions
• Quality Assurance & NPI
• Develop and implement supplier development roadmaps for NPI projects
• Cost Reduction Initiatives
• Establish procurement KPIs and supplier scorecard systems
• Risk Assessment & Mitigation
• Process Improvement

• Part-time 2-3 days/week
• Developments in the SD module and CRM Interaction Center
• Consulting, customizing in SD module
• Adapting Fiori applications in the SD module
• Approval workflow for credit memos: design, concept, implementation, customizing
• Credit memo request: object type BUS 2094
• If the credit memo request value is below a certain threshold -> automatic release and removal of billing block
• If the credit memo request value is above a certain threshold -> automatic determination of the responsible employee
• The employee receives a work item in their integrated inbox or in My Inbox (Fiori) -> the employee can reject, approve, or edit the credit memo request
• UML modeling in technical documentation
• Creating a Z-table for customer sample line items
• Merging COA1 (delivery) + COA2 (CAQ) forms and adding to the spool request as a single PDF
• Correcting workflow title according to NACE, fixing message "ZBMA title is displayed incorrectly in SBWP (Workplace)"
• Receiving PLM documents from an external PLM system, creating an RFC function module, storing PLM documents in the material master as GOS objects
• On releasing a production order, reading PLM documents from MM and saving them in a shared folder for the MES system
• Displaying the number of inspection methods in a popup when creating an order -> VA01/VA02
• Automatic stock reconciliation LVS IDOC INVCON
• Performing AQUA tests
• IDOC archiving for old IDOCs
• NL_PM_drawings and storing print output, informing MES via ZPPORDER IDOC, writing technical documents
• Using SD user exits, BADIs for various requirements
• Extending screens for customer requests via screen exits
• Creating message types for sales orders, purchase orders, and invoices
• Extending CRM Interaction Center Business Partner -> Overview -> Contract with customer-specific requirements
• New Fiori application departure control with data from Z-table and standard equipment tables, displaying a pie chart, calculating "vehicles in operation"
• Extending Interaction Center Business Partner -> Overview -> new tab on Overview Page with list tables for performance feedback, attachments from GOS objects
• Extending Interaction Center Business Partner -> Overview -> new tab on Overview Page with list tables for PM quality notifications, attachments from GOS objects
• Implementing BADIs in CRM
• File storage on SAP server/UNIX server
• Using BOL/GENIL architecture in CRM development
• Project language: German

• Analyzed multi-source datasets using information-theory metrics such as permutation entropy, informational complexity, and decision-support models.
• Developed algorithms and data visualizations in MATLAB and Python.
• Conducted research and co-authored multiple peer-reviewed scientific publications based on the findings.
• Electrical project design and execution
• Digitalization and smart systems integration
• Supplier and contractor coordination
• Risk and quality management
• Strategic decision making
• Financial and ROI perspective
• Analytical and systemic thinking
• Data-driven decision support
• Problem solving and critical thinking
• Cross-functional team leadership
• Influential leadership

• Spearheaded the development of BW Bridge and Datasphere models, integrating S/4HANA, BW/4HANA, and BDC to enable real-time analytics in SAP Analytics Cloud (SAC).
• Designed and implemented Calculation Views using SAP HANA Modeler, aligning with LEONI's requirement for expertise in BW/4HANA modeling and Eclipse.
• Authored comprehensive technical documentation and RICEFW objects, ensuring clarity and alignment with business requirements.
• Conducted training sessions for internal teams on Datasphere and BW Bridge, fostering knowledge transfer and self-sufficiency.

• Supported R&D efforts for MRI device prototypes, including installation and journey mapping, segmentation, and testing of Modix3D's Big Meter model.
• Contributed to product design by creating enclosure prints for beta prototypes.
• Conducted research and provided actionable insights to improve product functionality.
• Streamlined task organization and implemented process improvements to enhance development efficiency.
• Optimized campaigns with A/B testing mindset.