Software architecture · AI-assisted engineering · Frankfurt

Senior Engineering.
Agentic Delivery.

Entwicklerherz takes technical responsibility for complex software – as an experienced architect and engineer within the project team or as a company delivering a clearly bounded outcome with AI agents.

AI accelerates analysis and implementation. Architecture, review, and approval remain in experienced hands.

Experience and references
technical_responsibility.route()
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One accountable coreArchitecture · Review · Approval
01
Embedded Senior Engineeringwithin the existing project team
02
Agentic Project Deliveryas an owned outcome

AI accelerates · accountability remains

Project contexts from more than 15 years in architecture and engineering

DZ BankDeutsche BahnDeutsche PostAtruviaT-SystemsAmadeusLBBVisualVestSenacorCofinproFI-TSBMS Consulting

One technical core. Two forms of collaboration.

In both modes, Entwicklerherz combines system understanding, software architecture, and hands-on implementation. What changes is where responsibility sits organizationally.

01

Within the project team

Embedded Senior Engineering

For companies, consultancies, and intermediaries

Elton Marku strengthens an existing product or engineering team as a senior software architect and hands-on lead engineer.

The client gains experienced technical leadership that makes architecture decisions, builds the critical parts, and integrates AI sensibly into the engineering process.

  • Software architecture
  • Lead full-stack engineering
  • Java · Spring · Angular
  • Kafka · Cloud · Kubernetes
  • AI integration and agent workflows
Profile for project partners
02

Delivered by the company

Agentic Project Delivery

For direct clients

Entwicklerherz owns a clearly bounded software initiative and delivers it into an existing system landscape with agent assistance.

The client commissions an outcome rather than additional capacity: conception, implementation, tests, documentation, and production-ready integration under one technical responsibility.

  • Software extensions
  • Integrations and data flows
  • Modernization
  • Internal tools
  • AI capabilities in existing systems
Understand project delivery

Not sure which mode fits? A short system and architecture clarification makes the goal, risks, and sensible scope visible before a larger engagement begins.

Discuss the starting point

More delivery capacity – without automating responsibility.

Entwicklerherz orchestrates specialized AI agents for code analysis, implementation, tests, and documentation. The agents operate within a clear technical frame; an experienced software architect holds context, decisions, and outcome together.

You are not hiring an autonomous bot team. You work with one accountable senior engineer whose delivery capacity is extended by agents.

  1. 01

    Senior-led

    Understand and scope

    System context, business rules, risks, and acceptance criteria are clarified together. This creates a dependable working frame.

  2. 02

    AI accelerates

    Orchestrate agents

    Specialized agents analyze the codebase, handle bounded tasks, and produce reviewable changes with tests and documentation.

  3. 03

    Senior-owned

    Review and decide

    Architecture, security, maintainability, and business effect are reviewed by a human. Critical decisions stay explicit and traceable.

  4. 04

    Production together

    Integrate and ship

    The change is integrated into build, operations, and existing team workflows with the evidence required for production approval.

Explore the working model

Enterprise experience and owned systems – clearly separated.

Client projects show work in regulated, business-critical environments. Owned products show that Entwicklerherz does not only advise on software but also conceives, builds, and operates it. Archived projects are labelled as such.

Experience from real enterprise systems

Selected project contexts in which Elton Marku was part of the client team as architect, lead engineer, or full-stack developer.

DZ Bank – KBMDZ Bank – KBMDZ Bank

KBM

Software architecture and Lead Engineering

Architecture and technical delivery for core components of a digital advisor and customer portal.

AngularKafkaOpenShiftGraphQL

Kafka Streams · GraphQL · OpenShift

Deutsche Post – Pension ServiceDeutsche Post – Pension ServiceDeutsche Post

Pension Service

Software architecture and Backend Engineering

Event and integration architecture for pension requests and information workflows.

Spring BootKafkaKubernetes

Hexagonal architecture · Kafka Streams · Kubernetes

Selected in-house engineering references

Owned systems are not a substitute for client outcomes. They do show the ability to connect product decisions, architecture, implementation, and operations across the full lifecycle.

Fachzirkel

Active

Verified professional platform for health practitioners with matching, marketplace, specialist groups, directories, and direct messaging.

Demonstrates role and verification workflows, moderation, search, messaging, passkeys, billing, and privacy-aware account lifecycles.

Next.jsPostgreSQLPasskeysStripePWA

openworkid / upstand

In development

Open standard and reference platform for portable professional profiles with peer verifications, JSON-LD, exports, REST, and consent-controlled MCP access.

Demonstrates standards design, portable data models, multi-domain routing, passwordless sign-in, and controlled agent interfaces.

JSON-LDNext.jsSupabaseRESTMCP

Anzeigenpilot

Archived

In-house second-hand marketplace with AI-assisted photo analysis, listing and messaging workflows, and Stripe-based payment logic.

Demonstrates AI integration, complex commerce workflows, API design, payments, and complete product architecture.

AI VisionMarketplaceStripe ConnectOAuthMCP

SchemaPath

Product archived

Role-based platform for therapeutic support with a modular exercise engine, journaling and progress workflows, and encrypted sensitive content.

Demonstrates role and process modelling, sensitive data flows, modular component architecture, and AI infrastructure.

Next.jsEncryptionLearning EngineAzure AIi18n

Therapendo

Archived

Multi-tenant publishing platform for practice websites with inline editing, publishing and domain workflows, multilingual support, and encrypted inquiries.

Demonstrates multi-tenant publishing, content and editor architecture, domain operations, and AI-assisted content workflows.

Multi-TenantPublishingTipTapDomainsEncryption

Where should technical responsibility sit?

The right starting point does not depend on a package name but on whether you need a senior within the team or an owned outcome.