Consulting · Engineers in your team
Senior engineering,
on demand
Senior developers and architects who integrate into your team and start shipping from day one. Cloud and platform work included.
The facts
At a glance
Who it is for
A team that wants a senior developer or architect in the team.
Length
Typical lead time is 2 to 4 weeks, depending on scope and availability.
What you get
A person who integrates into your team and ships from day one. Cloud and platform work is included.
What happens after
Share the role, timeline, and team setup. We suggest a start plan within days.
Pricing
Contact us for pricing.
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 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
Three steps
to your team.
We start with a conversation about what you need. From there we match you with the right people and get them into your team.
Understand your needs
We talk through your team, your stack, and your goals.
Match and onboard
We bring in people who fit. They get up to speed fast.
Ship together
Our people work as part of your team. They own outcomes.
Why teams work with us
Reliable delivery, minimal disruption.
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.
The people you work with
You talk to the builders.
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.
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.
Read more →RetainerManaged AI operations
Monthly care for AI already live. New features are fixed-price change orders.
Read more →Engineering teamsAI coding rollout
Repo context, agent skills, security boundaries and continuous integration gates for the engineering team.
Read more →Full-servicePlatform Partner
We take over an app, portal or connected product, then the AI upgrade path.
Read more →Private modelPrivate 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. We fine-tune only if an evaluation says the hosted model falls short.
Read more →AIAll AI packages
How the sprint, the retainer, the AI coding rollout and Private model / fine-tuning fit a forward-deployed engineer.
Read more →Related insights
Related insights on senior consultants.
Articles on onboarding, leadership, and delivery.
All insights ↗How to onboard senior engineering consultants in 30 days
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Read insight →Leadership · 13 min readTech Leadership: Leading Agile Transformation in Large Organizations
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Read insight →System Development · 9 min readModern 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 →Ready to start?
Plan your next delivery push.
Share the role, timeline, and team setup. We suggest a start plan within days.
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 talk?
Let's talk about
what you're building
Or reach us directly at hello@aidoni.se
