Bring the seed.
We are hiring the people who form the structure.

The project is privately backed by a billionaire entrepreneur with substantial banking experience whose existing business group includes an operating bank. The work is funded by the sponsor from earnings generated by his established businesses. To respect his privacy, further details are shared with shortlisted candidates at an appropriate stage.

Each position starts within SIA NUCLEATION's project-building team. As the new bank is established, strong performers may be considered for corresponding roles in the bank. Any transition would depend on project progress, the chosen jurisdiction, organisational needs, regulatory and fit-and-proper requirements, and a separate employment agreement; it should be understood as a potential career path rather than a guaranteed transfer.

This is a broad, hands-on role combining business development, product, strategy, market research, partnerships and execution. We are looking for someone with a founder mindset, comfortable working outside narrowly defined responsibilities, taking ownership of ambiguous problems and driving them through to concrete results.

Our initial focus is on building a banking proposition around deposits and savings, payments and consumer credit, with the potential to expand later into AI-powered financial services, mortgages, business banking and other products.

• researching European markets, competitors, customer needs and product opportunities;
• supporting the assessment of potential jurisdictions for a banking licence;
• identifying and working with legal, regulatory and industry advisors;
• reaching out to potential partners, vendors and industry experts;
• developing and validating new banking and financial products;
• preparing market analyses, business cases and decision materials;
• supporting company formation and market-entry activities;
• travelling for meetings, research and business development where useful.

A key requirement is being highly capable with modern AI tools and automation.

We are specifically looking for someone comfortable working with Claude/Codex, Git, AI-assisted coding and MCP-based tools. You should have practical experience building your own automations, research tools, integrations or workflows that improve how you work.

You do not need to be a software engineer, but you should be comfortable working with code and technical systems and capable of building lightweight solutions yourself.

Experience in banking, fintech, product management, business development, consulting or early-stage technology companies would be particularly relevant.

Our preferred location is Riga, Latvia.

We are also open to candidates elsewhere in the EU, particularly Germany and Austria, and would be especially interested in German-speaking candidates. Candidates based in the Netherlands, France, Spain, Italy or other EU countries are also welcome.

Candidates must have the legal right to work in the country where they are based.

For a Riga-based position, the base salary starts from €6,000 gross per month (€72,000 gross per year).

This is a starting point rather than a fixed ceiling, and compensation will depend on the candidate's experience, capabilities and overall profile.

For candidates based elsewhere in Europe, compensation may be adjusted depending on location and market conditions.

We are looking for someone who wants to build rather than simply manage, someone equally comfortable with product, business development, strategy, technology and hands-on execution.

The project is privately backed by a billionaire entrepreneur with substantial banking experience whose existing business group includes an operating bank. The work is funded by the sponsor from earnings generated by his established businesses. To respect his privacy, further details are shared with shortlisted candidates at an appropriate stage.

Each position starts within SIA NUCLEATION's project-building team. As the new bank is established, strong performers may be considered for corresponding roles in the bank. Any transition would depend on project progress, the chosen jurisdiction, organisational needs, regulatory and fit-and-proper requirements, and a separate employment agreement; it should be understood as a potential career path rather than a guaranteed transfer.

This is an associate role across product discovery, business development, market research and project execution. There is no finished product or sales quota yet: the immediate work is to make better decisions, prepare partner and vendor conversations, and build the operating knowledge behind the venture.

You will work directly with the project lead and gradually take ownership of clearly defined workstreams. The role suits someone early in their career who already knows how a bank, fintech or financial-services company works and wants unusually broad responsibility.

• research European banking markets, competitors, customer needs and product opportunities, with every material claim linked to a source;
• maintain the shared knowledge base, assumptions register, decision log and action backlog;
• prepare meeting briefs, minutes and follow-up actions for advisors, vendors and industry experts;
• run competitor onboarding and product teardowns and turn observations into comparable evidence;
• build maps of potential partners, distribution channels, advisors and technology vendors;
• prepare RFP materials, business cases, decision papers and first drafts of outreach;
• identify repeated work and document it clearly enough for an engineer to automate;
• travel for research and business-development meetings where useful.

• at least one year of relevant experience in banking, fintech, financial services, a regulated lender, the Big Four or financial consulting;
• exposure to product, operations, credit, strategy, business analysis or commercial work;
• practical, hands-on use of Codex and Claude for real work, not only occasional prompting;
• comfort with Git, structured documents and AI-assisted coding, or the ability to learn them quickly;
• strong written English and Russian; Latvian or German is an advantage;
• the judgement to separate evidence, interpretation and assumption, and to challenge an AI answer when it is wrong;
• the legal right to work in the country where you are based.

Codex and Claude are part of the working environment. You will use them to investigate questions, work with a structured repository, compare sources, prepare documents and prototype lightweight automations.

We will assess this through practical work. We care about the quality and traceability of what you produce with AI, not whether you have a particular certificate or call yourself technical. You do not need to be a software engineer.

Riga is preferred because the core team and company are based here. We will also consider strong candidates elsewhere in the EU where a workable employment arrangement is available.

For a Riga-based employee, the expected base salary is €2,800–€4,200 gross per month. We can go up to €5,000 gross per month for an exceptional profile able to own several workstreams and represent the project independently in external calls.

The final offer will reflect experience, demonstrated AI capability and the level of responsibility the candidate can take from the start.

The project is privately backed by a billionaire entrepreneur with substantial banking experience whose existing business group includes an operating bank. The work is funded by the sponsor from earnings generated by his established businesses. To respect his privacy, further details are shared with shortlisted candidates at an appropriate stage.

Each position starts within SIA NUCLEATION's project-building team. As the new bank is established, strong performers may be considered for corresponding roles in the bank. Any transition would depend on project progress, the chosen jurisdiction, organisational needs, regulatory and fit-and-proper requirements, and a separate employment agreement; it should be understood as a potential career path rather than a guaranteed transfer.

This is an applied engineering role, not a general IT-support position. You will build the company’s applied-AI layer: specialised agents and reliable automations for research, product development, tax, legal and recurring company operations.

The shared knowledge base is the substrate, not the end product. The outcome is a portfolio of working agents that can retrieve the right evidence, use the company’s context, perform bounded tasks, involve the right human and leave an auditable trail.

The first users will be a small team working on a European banking venture, followed by external legal, tax, regulatory, financial and product advisors. The systems must be useful immediately, but designed so that more people, documents and processes can be added without losing provenance, permissions or auditability.

• research agents for source discovery, retrieval, validation, comparison, monitoring and evidence-backed synthesis;
• product agents for competitor teardowns, customer and market analysis, requirements, RFP preparation, roadmap work and decision materials;
• tax and legal agents that organise primary sources and professional advice, compare documents, track obligations and prepare review-ready drafts and evidence packs;
• operational agents for meeting preparation, transcripts, action tracking, recurring reporting, correspondence drafts and other repeatable company processes;
• a searchable, access-controlled knowledge system spanning sources, research, meetings, decisions, assumptions, people, documents and actions;
• secure advisor workspaces with AI-assisted onboarding, mandate-specific context, controlled knowledge access and structured contribution back into the project;
• ingestion pipelines and integrations with repositories, Microsoft 365, calendars, task systems and selected external tools through APIs and MCP;
• human approval gates, evaluation datasets, automated tests, observability, cost controls and versioning for prompts, tools and outputs;
• secure identity, secrets, permissions, backups, an EU-appropriate data perimeter and documentation that lets non-engineers operate stable workflows.

External advisors should be able to join the project quickly without receiving indiscriminate access to everything. You will build AI-assisted onboarding that assembles an approved briefing for each mandate, explains the relevant history, decisions, terminology and open questions, and answers from the knowledge the advisor is authorised to see—with sources attached.

Each advisor workspace must support secure document exchange, attributed contributions, version history, comments, review and approval. Advisor work should flow back into the canonical knowledge base only after the appropriate owner has reviewed it, preserving who contributed what and which source or engagement it came from.

Access must be least-privilege, time-bound and auditable, with clean offboarding, revocation and retention. The design should support confidentiality obligations, conflicts and information barriers between advisors or workstreams where required.

These agents support company functions; they do not become the lawyer, tax adviser or accountable product owner. Tax and legal outputs must remain source-linked, clearly scoped and routed to the responsible human or external professional for approval.

You will design for that boundary from the start: the system must show what evidence was used, what the model inferred, what remains uncertain and who approved the result.

• production-grade software engineering in Python and preferably TypeScript;
• strong work with APIs, SQL, Git, testing, CI/CD, authentication and cloud deployment;
• real systems built with Codex, Claude Code or their APIs, tool use, retrieval and agent orchestration;
• experience evaluating non-deterministic systems rather than judging them from a successful demo;
• the ability to make sensible build-versus-buy decisions and keep the first architecture small;
• the ability to map a real business process with its subject-matter owner and turn it into a bounded, testable agent workflow;
• experience with role-based access, SSO or guest identities, secure document collaboration and lifecycle management for external users;
• sound judgement around sensitive information, prompt injection, access boundaries and audit trails;
• clear written English and the ability to work directly with non-technical owners of a process.

We care more about working systems you have built than your title, degree or exact number of years in the industry. A strong application explains one or two applied AI or automation systems, what reached production, how you evaluated it, what failed and what you changed.

Banking experience is useful but not required. Experience with regulated, confidential or high-consequence information is valuable.

Riga is preferred. We will consider exceptional candidates elsewhere in the EU where the working arrangement allows close collaboration with the team.

Base salary starts from €8,000 gross per month and rises with demonstrated experience, capability and scope.

We deliberately do not set an upper ceiling. The combination of applied AI engineering, agent orchestration, knowledge systems, security and reliable workflow automation is still rare, and we are open to paying for genuinely exceptional capability rather than forcing it into a predetermined band.

For candidates outside Latvia, the contract form and gross equivalent will depend on the local employment arrangement.