21.10.2026 aktualisiert

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Senior Freelance AI Engineer | LLM-Agents (Text & Voice), RAG, MCP, AWS

Bad Wörishofen, Deutschland
Nur Remote
M. Sc. Computer Engineering
Bad Wörishofen, Deutschland
Nur Remote
M. Sc. Computer Engineering

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CV.pdf

Über mich

Senior Freelance AI Engineer building LLM text & voice agents with RAG and MCP on AWS Bedrock (Python/TypeScript). I train teams to use Claude Code & Codex effectively. AWS, Azure, data & DevOps since 2017. Available immediately, full-time, remote.

Skills

AI AgentsRAGLLMBedrockAPIsApache AirflowAmazon Web ServicesMicrosoft AzureComputer EngineeringDevOpsAWS CDKApache SparkAWS LambdaInfrastructure as Code (IaC)AWS ECSCloudformationAWS GlueAWS FargateTerraformAWS EKSJenkinsDatabricks
SOFTWARE ENGINEERING
TypeScript, Python, SQL, Go, C/C++; cloud-native APIs, microservices, external API integration, event-driven and serverless architectures.

CLOUD & DEVOPS
Amazon Web Services (AWS): Lambda, DynamoDB, EventBridge, SNS, SQS, API Gateway, ECS/EKS, CDK and CloudFormation. Microsoft Azure. Infrastructure as code with CDK and Terraform. CI/CD, Git, GitOps, Jenkins, testing, security, monitoring and observability. Kubernetes and containers.

AI ENGINEERING
Large language models (LLMs), text and voice agents, Model Context Protocol (MCP), retrieval-augmented generation (RAG), vector search and embeddings, LangChain, LangGraph, Amazon Bedrock and OpenSearch. Claude Code, Codex, QualityLayer, context engineering, agent evaluation and regression testing.

DATA ENGINEERING
ETL and data pipelines, data lakes and lakehouses, Apache Spark/PySpark, Databricks, Airflow, AWS Glue, PostgreSQL, SQL/NoSQL, streaming and event data.

BACKGROUND
M.Sc. Computer Engineering; B.Sc. Applied Informatics. AWS Certified Solutions Architect Professional and AWS Certified DevOps Engineer Professional. Industry experience since 2017; freelance since 2021.

Full project history and technologies: https://www.maxritter.net/work
Detailed skills and certifications: https://www.maxritter.net/skills

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2021

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Senior AI Engineer and Technical Advisor (Freelancer) – AI Text & Voice Agents, MCP

Dialpad (US, Agentic Platform)

Telekommunikation

AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Developing MCP-based tooling for AI text and voice agents (LLMs): agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state, including text and voice tests that evaluate agent behavior, latency and task completion. In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively: context management for large codebases (RAG, vector stores, codebase embeddings), reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.
Technologies: Text & Voice Agents, MCP, LLMs, Python, TypeScript, OAuth, Evals, Traces, Claude Code, Codex, QualityLayer, RAG, Vector Stores, CI/CD

Senior AI, Data and Cloud Engineer (Freelancer) – AI Search, RAG, AWS Bedrock

OEW Breitband GmbH (DE, Telecommunications)

Telekommunikation

Architected and implemented a data integration and intelligent document search platform for Germany's government-subsidized fiber optic expansion program in Baden-Württemberg. Built ETL pipelines aggregating multi-source data from CRM and ERP systems into a centralized data lake with medallion architecture. Implemented address validation using event-driven serverless architecture on AWS. Designed an AI-powered search engine (RAG) using Amazon Bedrock Knowledge Bases with vector embeddings, OpenSearch Serverless and Reranking.
Technologies: AWS Bedrock, Vector Embeddings, OpenSearch Serverless, Python, EventBridge, Step Functions, AWS Glue, RDS PostgreSQL, S3 Data Lake, Parquet, AWS CDK, TypeScript, Terraform, CI/CD, ECS

Senior AI, Data and Cloud Engineer (Freelancer) – AI Agent Platform, RAG, LLMOps

Boehringer Ingelheim (DE / US, Pharmaceutical)

Pharma und Medizintechnik

Architected and implemented an AI agent platform using Retrieval Augmented Generation (RAG) to enhance clinical data insights. Established CI/CD pipelines for LLM applications using CDK and Jenkins, reducing deployment times. Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments. Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.
Technologies: Python, LangGraph, AWS Bedrock, Smolagents, Streamlit, LangSmith, LangFuse (tracing, testing, evaluation), AWS CDK, Terraform, TypeScript, Jenkins, OpenSearch, pgvector, Embeddings, PDF Extraction

Senior Cloud, Data and DevOps Engineer (Freelancer) – Data Lakehouse, Kubernetes

Marc O'Polo (DE, E-Commerce / Retail)

Konsumgüter und Handel

Optimized the company's Data Lakehouse architecture built on Airflow, Spark and Dremio, improving query performance and reducing operational costs. Transformed infrastructure management with Terraform-based automation, minimizing deployment errors. Enhanced Kubernetes cluster stability through advanced monitoring and autoscaling, decreasing system downtime. Redesigned ETL pipelines for increased reliability, ensuring consistent completion of the core data flows supporting retail analytics.
Technologies: AWS EKS, Helm, Grafana, Prometheus, Autoscaling, Terraform, AWS CDK, GitOps, CI/CD, Airflow, EMR, Spark, PySpark, Python, Delta Lake, CloudWatch, Elastic Stack, AlertManager

Senior AI, Cloud, Data and DevOps Engineer (Freelancer) – LLMs, Clinical Trials Analytics

Boehringer Ingelheim (DE, Pharmaceutical)

Pharma und Medizintechnik

Developed an analytics platform for clinical trials that reduced operational decision time and improved trial efficiency. Engineered scalable Python microservices that processed complex trial data with high reliability. Implemented AWS CDK infrastructure that automated deployment tasks and optimized cloud resources. Created efficient ETL pipelines that transformed raw clinical data into insights for trial teams. Trained and deployed specialized LLMs that answered complex clinical queries, supporting critical decision-making processes.
Technologies: Large Language Models (Fine-Tuning, LangChain, Azure OpenAI), Python, FastAPI, OpenAPI, Pydantic, OpenSearch/ElasticSearch, AWS CDK, TypeScript, CloudFormation, AWS Glue, Step Functions, Pandas, PySpark, Airflow

Senior Cloud, Data and DevOps Engineer (Freelancer) – Identity & Data Platform

Hubert Burda Media (DE, Publishing / Media)

Medien und Verlage

Engineered and deployed the company-wide identity and data management platform that unified access across multiple business units and millions of users. Architected event-driven microservices with Go that processed high-volume transactions with low latency. Revamped data architecture using Databricks and Delta Lake, improving analytics performance. Implemented streaming data pipelines that reduced data processing time, enabling near real-time decision making for digital publishing operations.
Technologies: Node.js, Go, Kafka, SQS, GraphQL, AWS EKS, ArgoCD, Lambda, Jenkins, CloudFront, S3, DynamoDB, RDS, ElastiCache, MongoDB, PostgreSQL, Databricks, PySpark, Python, Airflow, IAM, Cognito, GDPR, KMS, Secrets Manager

Senior AI, Data and Cloud Engineer (Freelancer) – Connected Vehicles, ML Pipelines

Porsche (DE, Automotive)

Automobil und Fahrzeugbau

Designed and implemented cloud-native infrastructure that scaled to support connected vehicles with high availability. Built real-time data processing services that reduced analytics latency, enabling timely customer insights. Developed machine learning pipelines that improved customer preference prediction, driving personalized experiences. Implemented infrastructure-as-code practices that accelerated deployment cycles, supporting rapid innovation for digital services under the SAFe ART framework.
Technologies: AWS Glue, Athena, Step Functions, Lambda, SageMaker, CDK, Terraform, CloudFormation, Python, Java Spring Boot, REST, API Gateway, Kubernetes, EKS, ECS, Fargate, Docker, ECR, PySpark, EMR

Senior Cloud, Data and DevOps Engineer (Consultant, Netlight) – IoT Data Platform

Climeworks (CH, Energy/Climate)

Energie, Wasser und Umwelt

Architected a full-stack IoT data platform that processed environmental metrics from numerous sensors with high reliability. Implemented real-time analytics of time-series data using Azure Databricks that improved carbon capture optimization processes. Developed a low-code annotation interface that enhanced data labeling efficiency, accelerating machine learning model development. Created automated data pipelines that enabled precise measurement of carbon capture performance, supporting the company's climate impact goals.
Technologies: Microsoft Azure (Functions, Data Lake, Event Hub, Key Vault, Entra), PostgreSQL, Time-Series, Blob Storage, Databricks, PySpark, Python, Delta Lake, Azure IoT Hub, IoT Edge, Device Provisioning Service

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