Are you a skilled developer excited to build at the frontier of AI-native software development? We're hiring an experienced developer to shape the future of our AI engine for impact intelligence — full-stack by default, but we care more about analytic skills, good judgment, and AI-fluency than about a specific stack. You'll work across the platform, from data pipelines, APIs, and ML/LLM systems to the product surfaces our customers use, and you'll be expected to pick up whatever the problem requires. At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 300+ institutional investors and corporations to make real capital allocation decisions. We quantify companies' impact from the ground up, based on peer-reviewed science and what companies actually produce and sell. The raw material is their product data, which we collect and classify automatically at scale. What makes the role unusual is how we build today. Over the past six months, we have rebuilt a large part of our development workflow around AI agents, including our in-house Slack-native agent "Upbot", which now autonomously handles a meaningful share of bug fixes, feature development, dev-environment management, data QA, data refreshes, and other engineering chores that used to require a human. As a developer at Upright, you spend much less time on repetitive plumbing and much more time designing systems, writing the hard parts, and teaching agents to do the rest well. We're betting heavily on AI-native engineering, and you'd be joining a small, senior team where your work on both the product and the agentic tooling around it is visible from day one. Your specific responsibilities will be tailored during the recruitment process to your background, skill level, and interests. If you're ready to grow your career while building a platform that matters and to do it in an AI-forward engineering environment, we'd love to hear from you! Are you a skilled developer excited to build at the frontier of AI-native software development? We're hiring an experienced developer to shape the future of our AI engine for impact intelligence — full-stack by default, but we care more about analytic skills, good judgment, and AI-fluency than about a specific stack. You'll work across the platform, from data pipelines, APIs, and ML/LLM systems to the product surfaces our customers use, and you'll be expected to pick up whatever the problem requires. At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 300+ institutional investors and corporations to make real capital allocation decisions. We quantify companies' impact from the ground up, based on peer-reviewed science and what companies actually produce and sell. The raw material is their product data, which we collect and classify automatically at scale. What makes the role unusual is how we build today. Over the past six months, we have rebuilt a large part of our development workflow around AI agents, including our in-house Slack-native agent "Upbot", which now autonomously handles a meaningful share of bug fixes, feature development, dev-environment management, data QA, data refreshes, and other engineering chores that used to require a human. As a developer at Upright, you spend much less time on repetitive plumbing and much more time designing systems, writing the hard parts, and teaching agents to do the rest well. We're betting heavily on AI-native engineering, and you'd be joining a small, senior team where your work on both the product and the agentic tooling around it is visible from day one. Your specific responsibilities will be tailored during the recruitment process to your background, skill level, and interests. If you're ready to grow your career while building a platform that matters and to do it in an AI-forward engineering environment, we'd love to hear from you! SIGNS FOR BEING A GREAT MATCH: - At least 5 years of professional software development experience as a strong generalist. Our stack is mostly TypeScript/Node and React on the product side and Python on the data and ML/LLM side — we expect deep fluency in at least one of these, and genuine willingness to work across the rest. - Comfort working across the whole software lifecycle — design, development, deployment, and operations. - Working with coding agents (Claude Code, Cursor, etc.) is your default mode, and you're excited to build the architecture, tools, and guardrails that make agentic workflows reliable at scale. - Ability to work autonomously and as part of a team that includes both technical and non-technical stakeholders. - A visible internal standard for excellence — you have a habit of doing things clearly better than what was strictly required. ADDITIONALLY, WE VALUE: - Experience building distributed, data-intensive products. - Hands-on experience with PostgreSQL, Docker, Linux, and AWS. - Experience designing and shipping LLM-powered features (prompt design, evals, tool-use, retrieval, agents). - Strong UI/UX sensibility. WHAT WE OFFER: - A chance to join a quickly growing and highly ambitious impact SaaS company with a mission that matters — real capital allocation decisions at 300+ institutional investors and corporations rest on the data we build. - A team of exceptional people who are kind, direct, and care deeply about doing the work well. - An unusually AI-forward engineering environment — first-class tooling, in-house agents, and the freedom to keep pushing what "AI-native development" actually means in practice. You'll be shaping the workflow, not inheriting it. - Substantial autonomy and ownership from day one, with lots of room to grow. - Competitive compensation, including stock options and a comprehensive healthcare package. Location: Helsinki, Finland Deadline: Candidates will be reviewed on a continuous basis and the role will be filled as soon as the right person is found. Read more about us from our Careers website!

Member of Technical Staff (Software)

Visa sponsorship

similar openings