Consulting - Senior Engineering, On Demand

Senior developers and architects who integrate into your team and start shipping from day one. Cloud and platform work included. For AI, we sit in as forward-deployed engineers, and the system runs in your environment: private or virtual private cloud on Amazon Web Services, Microsoft Azure, Google Cloud or GleSYS, or on your own servers.

Need senior capacity?

Add senior engineers without slowing delivery

We embed senior developers, architects, and product leaders in your team. Clear scope, fast start, real output.

Our approach - What we bring

Senior consulting that fits how you work.

Senior developers and architects. People who integrate into your team, learn your codebase, and take ownership from day one.
Cloud and infrastructure. Platform expertise so you can scale and ship with confidence.
Proven delivery. Track record with teams at Porsche, SKF, Coop, and other Nordic tech companies.
AI code tools with guardrails. Experienced with AI code tools and agents, with provenance, review and test gates so that AI-generated code can be trusted.
Forward-deployed on AI. One senior, or a two-person pod, inside your team for the AI feature and the product engineering around it. Discovery, a scoped build, production adoption, evaluation feedback, and a playbook you keep. Automotive and connected products in Gothenburg are where we do this most.

How we work with you

We start with a conversation about what you need. From there we match you with the right people and get them into your team.

1. Understand your needs

We talk through your team, your stack, and your goals.

2. Match and onboard

We bring in people who fit. They get up to speed fast.

3. Ship together

Our people work as part of your team. They own outcomes.

Why teams work with us

Reliable delivery, minimal disruption, and people who care about outcomes.

Day-one delivery: Senior people who ramp up fast and start contributing immediately.
No hand-holding: They take ownership. You get results without the overhead.
Long-term partnership: We stick around. Same people, same context, same timezone.
Your environment: When the work is AI, private or virtual private cloud on Amazon Web Services, Microsoft Azure, Google Cloud or GleSYS, or on your own servers, is the default. Data stays with you, with audit logs. We do not train on your data unless you ask us to, in writing.

AI packages - Fixed scopes, when a person in the team is not the shape

Consulting is the embed. These are the fixed AI packages, and the platform takeover.

Fixed project

AI production sprint

One search-and-answer system or agent in production in four to six weeks, with evaluations and a go or no-go to scale.

Retainer

Managed AI operations

Monthly care for AI already live. New features are fixed-price change orders.

Engineering teams

AI coding rollout

Repo context, agent skills, security boundaries and continuous integration gates for the engineering team.

Full-service

Platform Partner

We take over an app, portal or connected product, then the AI upgrade path.

Private model

Private model / fine-tuning

An open model tuned on your own data, run where your data must stay. It can start on its own or after an AI production sprint. Contact us for pricing. We fine-tune only if an evaluation says the hosted model falls short.

All AI packages

How the sprint, the retainer, AI coding rollout and Private model / fine-tuning fit a forward-deployed engineer.

Related insights - Related insights on senior consultants

Articles on onboarding, leadership, and delivery.

Engineering Leadership•7 min read

How to onboard senior engineering consultants in 30 days

A practical onboarding model for engineering leaders who need senior consultants to contribute quickly without disrupting delivery.

Read insight →

Leadership•13 min read

Tech Leadership: Leading Agile Transformation in Large Organizations

Transforming an organization's way of working is one of the biggest challenges for tech leaders. Here are keys to success based on real experiences.

Read insight →

System Development•9 min read

Modern development methods for faster delivery

DevOps, CI/CD, and agile development – learn how modern methods can shorten time-to-market and improve the quality of your deliveries.

Read insight →

FAQ - Common questions

Short answers on how we work.

What roles can you cover?

Senior backend, frontend, fullstack, architects, and product leads. We match for your stack and team setup.

How fast can you start?

Typical lead time is 2 to 4 weeks, depending on scope and availability.

Do you work on site?

Yes. We work on site or hybrid in Gothenburg and Malmö, and remote when it fits the team.

How do you ensure quality?

We work in your repo and follow your continuous integration, code review, and release process.

Do your consultants use AI tools in our code?

Yes, within your rules. We use code agents to speed up work, but with provenance, review and test gates that make AI-generated code trustworthy. We adapt to your policies and are transparent about what is AI-generated.

How is this different from an AI package?

This page is a person in your team. A fixed 4–6 week build of one search-and-answer system or agent is the AI production sprint. Monthly care of AI already live is Managed AI operations. A coding-agent setup for the engineering team is the AI coding rollout. A private model on your own examples is Private model / fine-tuning. It can start on its own or after an AI production sprint. Contact us for pricing. We fine-tune only when evaluations show the hosted model falls short. We combine them when you want the package delivered by someone sitting with you.

Ready to start?

Plan your next delivery push

Share the role, timeline, and team setup. We suggest a start plan within days.

Talk to us

Let's talk about what you're building

The Aidoni team together outdoors in Gothenburg