---
title: 'AI Software Engineer at Renessai'
canonical: 'https://feeny.ai/job/ai-software-engineer-renessai-helsinki-jshqp6gcj42t'
type: 'job'
last_seen: '2026-09-12'
---

# AI Software Engineer at Renessai

- **Company:** Renessai
- **Location:** Helsinki, Finland
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.gem.com/renessai-com/am9icG9zdDr9hBINgh3TT6hO-RNan-3i

## Job description

## About the role

We're now looking for an AI SW Engineer to focus on Agentic AI to build the agentic layer of the systems we ship. At Renessai we build AI-native software for clients: systems where agents do real work, not systems with a chat window bolted onto the side. We are looking for an AI Software Engineer whose home ground is the agentic layer, meaning tools, context, memory, orchestration, and the evaluations that tell you whether any of it actually works.

Two things define this role. First, agents are what we build: the core of most client systems we deliver is an agentic workflow. Second, agents are how we build: we develop with coding agents, skills, and orchestrators as the default way of working, and part of your job is making that way of working faster and more reliable for everyone around you.

## Why Renessai

You'll be at the frontier of AI-native software, building real systems for real clients where agents are the core, not an afterthought. You'll own the work end-to-end and work in a team that develops with agents as the default way of working. Small company, fast decisions, serious impact.

You will ship early and learn from real use. That means rapid discovery, small real versions built to test a hypothesis, and a willingness to drop last week's idea when the feedback says so. It also means working close to the client and the people who use what you build, rather than at a comfortable distance from them.

## What you will do

Build agentic systems as the core of client software

- Design and build agentic workflows: tool design, context engineering, memory, planning, and orchestration, including multi-agent setups when the problem genuinely calls for them.
- Decide where the agent ends and deterministic software begins. Not everything should be an agent, and knowing the difference is a large part of the job.
- Design the guardrails and human oversight a system needs to be trusted in production, and treat cost, scalability, and trustworthiness as design questions rather than things to fix later.

Build and run the evaluations

- Set up evals that test quality, catch regressions, and track performance against cost: accuracy, drift, correction rate, quality gating.
- Treat evals as part of the system, not a report produced at the end. If we cannot measure whether the agent got better, we do not know whether it did.

Build the way we build

- Set up the skills, harnesses, subagents, and context a project needs, and shape a development workflow where agents do a large share of the implementation and humans stay firmly responsible for the result.
- Keep improving that workflow as models and tooling change, which at the moment happens roughly monthly.

## What you bring

You do not need every item below. You should be confident in several and willing to grow into the rest.

Agentic engineering

- Hands-on experience building agentic systems: tool design, context, memory, planning, orchestration. Your opinions on these come from things breaking in real projects, not only from reading about them.
- Practical experience building and running AI evaluations, and the judgement to weigh quality against cost.
- Daily fluency with coding agents (Claude Code, Codex, Cursor, or similar) that goes well past prompting: skills, subagents, parallel runs, and a working sense of what to delegate and what to verify yourself.

Software engineering

- Solid experience with at least one major cloud (Azure, GCP, or AWS), including setting up infrastructure, access, and governance.
- Enough backend and frontend experience to take a real system from architecture to interface without needing each piece handed to you as a finished spec.
- Practical experience with data pipelines: moving and synchronising data, including at larger scale.

Consulting skills and mindset

- Comfortable being close to the client and the people who will actually use what you build.
- Able to read a client's business context and users' needs well enough to make good calls without a full specification in hand.
- Willing to ship early, test with real users, and change direction when new information tells you to, rather than defending a plan.
- Tolerant of ambiguity and of things being unfinished.
- Straightforward and easy to work with, in a small, evolving company.

Practicalities

- Location: You must be based in Finland and have a valid work permit in Finland.
- Language: Fluent English. Finnish is considered a plus.
- Office presence: This is a hybrid role. We expect you to, if necessary due to client work, have the possibility to come to the office or client site. Client site presence is subject to project and client needs. Other than that we are flexible and open to discussion of the cadence of physical presence at the office.
- Salary: We operate in set ranges per seniority level, these ranges will be shared with you early on in the hiring process.

How to apply

We're building a team with a genuinely wide range of backgrounds and ways of thinking. If you're on the fence about whether you fit, we'd rather you applied and let us make that call together.

If this sounds like you, send us your CV and we're happy to tell you more! We review applications continuously.

## About Renessai

## Company Overview
- **One-liner**: Renessai is a strategic AI consultancy that helps organizations navigate AI hype and build real business value by combining strategy, change leadership, and applied technical expertise.
- **Entity Type**: Private (bootstrapped; no funding rounds disclosed)
- **Headquarters**: Helsinki, Finland (also has offices in the United States and Berlin, Germany)
- **Founded**: August 2024
- **Founders**: Mikko Koski, Niina Tuikka, Ossi Syd, Aapo Tanskanen, Eija-Leena Koponen, and Jussi Ritola

## Core Business
- **Primary industry**: Business Consulting and Services (AI-focused)
- **Target customers**: B2B; leadership teams and operating teams at Finnish and international organizations across media, engineering, transport, professional services, and more
- **Mission**: Help companies “think beyond AI” by turning fuzzy AI ambition into concrete, measurable outcomes—combining technology, people, and processes to create lasting business value.

## Products & Services
- **AI Strategy & Roadmap**: Prioritization of AI investments, capability audits, and actionable transformation plans.
- **AI Capability Assessment**: Deep-dive evaluations across data, analytics, AI capabilities, and operating models.
- **AI Use‑Case Discovery & Prioritization**: Identifying and ranking high‑impact AI opportunities.
- **Proof‑of‑Concept Design & Delivery**: Rapid, iterative builds to validate AI value before scaling.
- **Generative AI Development**: Custom agents, enterprise knowledge search, automation, multi‑agent workflows.
- **Non‑Generative AI Evaluation & Setup**: Classical ML/LLM solution design and deployment.
- **Interim AI & Digital Leadership**: Acting CAIO/CDO mandates to embed AI capability within client teams.
- **Change Leadership & Organizational Design**: Helping clients adapt roles, processes, and culture for sustained AI adoption.

All engagements are custom‑built; Renessai delivers over 50 projects per year.

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: 17 employees (as of mid-2026), with +21.4% year‑over‑year headcount growth (+3 people)
- **Notable Investors/Partners**: No external investors disclosed; the firm is co‑founded and self‑funded by senior practitioners.
- **Growth Signals**:
  - Opened a second office in Berlin, Germany, plus a US location within two years of founding.
  - Active hiring (AI Software Engineer, ML/AI Engineer, Strategy & Transformation Consultant posted in 2026).
  - Client base of 30+ organizations across multiple industries.
  - High repeat project volume (50+ projects/year) indicating strong client demand.

## Competitive Advantages
- **Deep, pre‑hype experience**: The team brings 96+ combined years of AI deployment experience, much of it predating the current generative AI wave.
- **Founder‑led delivery**: The same senior consultants who win the work do the work—no handoffs to junior teams.
- **Outcome‑focused, anti‑hype ethos**: Refuses to sell shelfware or buzzword strategies; engagements are tied to revenue, cost, and risk metrics.
- **Full‑stack AI capability**: Covers strategy, technical build, organizational change, and interim leadership—rare for a boutique consultancy.

## Strategic Focus
- **Current priorities**: Building agentic workflows (tool design, context engineering, memory, planning, orchestration, guardrails) and scaling production AI systems for clients; expanding the team with AI Software Engineers and ML/AI Engineers to deepen technical delivery.
- **Growth direction**: Continue hiring in Helsinki and potentially other offices, maintain a low‑bureaucracy culture, and grow through repeat client work and referrals rather than external fundraising.

## Why Work Here
- **Culture**: Described as a team of “Expeditionaries”—people who tackle unfamiliar problems, help each other, and own real work from day one. The firm is allergic to shelfware and buzzwords.
- **Work model**: Hybrid (office in Helsinki at Bulevardi 6; Berlin and US offices also available). Openings list “Hybrid” in Helsinki.
- **Engineering environment**: Engineers own real pieces of the stack, work directly with clients, and help define how AI‑native development works. Roles involve agent development, evaluation, cloud infrastructure, and cross‑functional collaboration.
- **Perks**: Not detailed, but emphasis on ownership, direct client impact, and a flat structure where “people who win the work do the work.”
- **Recent hiring signals**: Actively recruiting in 2026 for AI Software Engineer, ML/AI Engineer, and Strategy & Transformation Consultant—demonstrating growth and demand for impact‑driven talent.

## Sources
1. [renessai.com](https://www.renessai.com/careers)
2. [linkedin.com](https://linkedin.com/company/renessai)
3. [builtin.com](https://builtin.com/company/renessai)
4. [techbehemoths.com](https://techbehemoths.com/company/renessai)

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