Engineering

Architecture for AI systems that hold up in production.

Engineering at agenticonsult means: thinking through technical systems and delivering them as implementation-ready artefacts. Not a development team managing your project — but the technical depth that underpins your decisions.

Engineering domains

The technical domains where agenticonsult does not merely advise — but actively builds and operates.

AI Systems (Agentic System Engineering)

Design of multi-agent systems: role definition, orchestration hierarchies, tool configuration, session management, and error handling.

Memory & Retrieval

Technical design of hybrid RAG pipelines, knowledge graph integration, vector database selection, and persistent memory layers.

Context Engineering

Memory, AI databases, tools, and orchestration. System prompt design, context window management, and reliability.

Integration & API

Connecting AI systems to existing infrastructure, data sources, and external tools.

AI Infrastructure Stack

Selection and composition of the technical stack: models, vector DBs, knowledge graphs, caching, authentication, serving layer.

What agenticonsult delivers

Engineering artefacts, not hours

The result of agenticonsult's engineering work is a concrete, implementation-ready artefact — not a slide deck, not a consulting report.

You or your team implement — agenticonsult delivers the technical foundation. No vendor lock-in. No vested interest in a particular stack.

Possible deliverables — depending on the project:

Architecture blueprint — complete technical system design for your project

Implementation specification — step by step, documented for implementation

Agent definitions & orchestration protocols — ready to deploy

Infrastructure components — configured, operation-ready building blocks

Complete AI infrastructure — when the scope requires it

The infrastructure that speaks for itself

This engineering competence is not a claim — it is visible in production.

The components delivered to clients are already running — in agenticonsult's own system.

In production, not in theory:

Production AI infrastructure with specialized agents — in daily operations

Hybrid knowledge management — vector search combined with structured knowledge graphs

Persistent memory across sessions — no information loss

Automated workflows for research, communication, and quality assurance

Parallel workstreams with clear task separation and cost control

How technical work runs at agenticonsult

Clearly structured, without overhead.

Technical analysis

agenticonsult establishes what you have, what you need, and under what constraints you operate — infrastructure, data, team, budget.

Specification

agenticonsult designs the system, documents the decisions, and produces an implementation-ready technical specification.

Deliverable

You receive the appropriate artifact: a system blueprint, an implementation plan, ready-made protocols, or a complete, deployment-ready infrastructure.

Clearly defined results instead of open-ended billable hours. Technical depth without overhead.

How the collaboration works

Technical depth without a lengthy lead-in.

Digital · Fast

Digital Consulting

You describe your technical project, your stack, and your open questions. agenticonsult analyses, designs, and delivers the technical specification.

Ideal for:

Prerequisites and stack selection

System design for a specific project

Infrastructure components and agent definitions

Technical assessment of existing AI systems

Personal · In-depth · Direct

Personal Conversation

For complex technical topics and projects that need deep analysis.

Ideal for:

Complex system architectures with many constraints

Complete infrastructure setups

Ongoing technical support

Booking by email or via the contact page.

Technical project?

Describe what you want to build or improve. agenticonsult analyses your context and delivers the technical foundation.

Discuss your technical project Explore Context Engineering