AI-Native Software Engineering
Building AI. Building with AI.
I build production software and AI systems, from backend services to AI-native development workflows.
Track Record
Years building production software, still hands-on.
Production software projects delivered.
Client organizations supported through consulting and software delivery.
Trained professionals in Lean delivery and AI adoption.
What I Build
AI-native software,
from workflow to production.
Production AI Applications
- LLM-powered product features and AI chat
- Harnessing, RAG and structured workflows
- Permission-aware access to real data
Agentic Development Systems
- Orchestration and specialised agent roles
- Context, task and architecture controls
- Human decision and escalation boundaries
Evaluation and Trust
- Automated evaluations and evidence checks
- Tracing, observability and feedback loops
- Guardrails for privacy, security and quality
Software Engineering
- Backend services, APIs and integrations
- Native and cross-platform mobile applications
- Cloud platforms and production architecture
How I Deliver
From customer problem
to production adoption.
I turn complex customer workflows into production AI systems, from discovery and technical scoping to implementation, rollout and adoption.
Discovery and scoping
Understand the workflow, business problem, users, constraints, risks and existing systems.
Architecture and implementation
Design the solution and contribute directly across backend, mobile, integrations, cloud and AI components.
Evaluation and rollout
Validate correctness, reliability, security and operational readiness before production launch.
Adoption and feedback
Support customer teams, measure real-world outcomes and turn field feedback into product and engineering improvements.
Selected Work
Systems built,
measured and used.
End-to-end digital health platform
A mobile and cloud platform deployed for global pharmaceutical customers
I owned the product and technical delivery across native iOS and Android applications, a GCP backend and customer-facing data services.
I gathered requirements directly from end users and customers, including five of the world’s largest pharmaceutical companies, designed the solution, led the team and built the core system hands-on.
countries with customer deployments
Agentic AI application
A personalized AI conversation system built on 40+ LangGraph nodes
I designed and built the complete AI backend and agent architecture for a psychology-informed conversation platform, including its APIs, data model, memory, authentication, prompts, deployment and evaluation systems.
Each message is processed through specialized nodes that analyse content, detect safety-critical situations, manage the conversation lifecycle and map the interaction to 50+ tracked psychological domains before generating the next response.
specialized nodes across the agentic workflow
How I See It
AI changes where human value is created.
I do not believe the biggest change is that people will complete the same work faster. As AI takes on more execution, our work moves toward defining intent, making decisions, designing the environment and owning the outcome.
The real opportunity is to redesign how people, software and AI work together. Not simply attach AI to the process we already have.
Selected Writing
Notes from building
with AI in practice.
AI took my job. Twice in one year. I still have one.
How AI shifted my role from implementation toward decisions, system design and responsibility.
AI-native work · Engineering
5 months. 100% Claude Code. Zero architectural drift.
What five months of fully AI-native development revealed about keeping architecture explicit.
AI coding · Architecture
How I Validate Quality When AI Agents Write My Code
The tests, evaluations and reviews that turn generated output into evidence.
Agents · Quality
About Me
The software engineering depth behind the AI work.
I’m Teemu Piirainen, a hands-on senior software engineer and AI engineer based in Espoo, Finland.
My work spans mobile, backend, cloud and production AI systems. Having run my own software consultancy since 2004, I have learned to connect customer needs and commercial reality with hands-on engineering, architecture and production responsibility.
I also speak and train on AI adoption and Lean delivery, work I have done as a keynote speaker and freelance trainer for over ten years.
Let’s Talk
Building software that has to work in the real world?
I work where product, engineering and AI meet. Turning unclear needs into production systems, integrating them with real data and existing platforms, and taking responsibility from problem framing to deployment.