Careers

Build the sovereign alternative.

Are you ready to embark on a very different kind of adventure? Rindogatan is here to challenge the very notion of consultancy services by empowering our customers beyond the imaginable.

How we staff

Forward-deployed, by design.

Replacing legacy workflows and tools with agentic loops and ad hoc products demands an entirely new approach to change management and technical literacy. Are you ready to join us on the journey?

The standard warning about a business built this way is that it “turns you into a services business.” For us that is not a risk, it is the entire point. Services are the product, done the European, sovereign, humane way. We trade a little margin for a lot of moat, and we measure success in your client's eventual independence.

Rindogatan team at work
Open roles

Delivery, forward-deployed

Client-embedded engineers and leads who scope, build, and ship AI workflows into a single client's production environment. The billable core, and the European answer to Palantir's forward-deployed model.

deliveryAll capabilities · all 10 industries

Forward-Deployed AI Engineer

Our flagship client-embedded role: scope, build, and ship AI workflows end-to-end inside one client's production environment, then feed what you learn back into how we work.

What you'd do
  • Embed with an enterprise client and own discovery → design → build → production rollout
  • Build RAG pipelines, agents, and evals against the client's real data and constraints
  • Make the frontier-vs-sovereign call workload by workload, and stand up the sovereign path
Python + TypeScript full-stackRAG & agent frameworksEval-driven deliveryClient-facing judgement
deliveryOne of the 10 industries

Sector Solutions Lead

A senior forward-deployed engineer who owns one industry's playbook and account outcomes, translating a sector's hardest problems into shipped AI solutions.

What you'd do
  • Own the AI solution architecture and outcomes for one vertical (e.g. banking, healthcare)
  • Carry the sector's regulatory map (DORA, Annex III, EHDS…) into every design
  • Mentor forward-deployed engineers and grow the account
Deep domain expertiseSolution architectureStakeholder managementRegulatory fluency
deliveryMarketing Ops · HR · Finance automation

Agent Architect

Design the multi-agent and agentic-workflow systems, orchestration, tool use, memory, guardrails, that automate a client's marketing, HR, or finance back office.

What you'd do
  • Architect agent orchestration, tool use, and human-in-the-loop checkpoints
  • Build guardrails, logging, and evals so autonomy stays auditable
  • Productise repeatable agent patterns across engagements
Agent orchestrationSystem designSafety guardrailsEvaluation
deliveryAnalytics · Marketing Ops

AI-Native Analytics Engineer

Build the modelled, trustworthy data and semantic layer that powers both BI and LLM/RAG use cases, the foundation agents read from and write back to.

What you'd do
  • Model first-party data (dbt / SQL / semantic layer) for agent consumption
  • Stand up warehouse/lakehouse + vector stores with zero third-party leakage
  • Wire agentic measurement that acts, not just dashboards that describe
SQL & dbtWarehouse/lakehouseSemantic & vector layersData modelling
Open roles

Platform, sovereign infrastructure

The people who make self-hosted, open-weight inference real on European soil, the moat that separates us from a frontier-API reseller.

platformThe sovereign core of every engagement

Sovereign Inference Engineer

Stand up and operate self-hosted open-weight model serving on EU, on-prem, or private-cloud infrastructure. This role is the moat.

What you'd do
  • Run open-weight serving (vLLM / SGLang) on Kubernetes with the right GPUs
  • Size, quantize, and fine-tune models for cost, latency, and quality
  • Own data-residency architecture so inference never leaves the perimeter
vLLM / SGLang / NIMKubernetes & GPUsQuantization & fine-tuningObservability
platformCross-cutting quality

LLMOps / Eval Platform Engineer

Build the firm's reusable evaluation, monitoring, and CI/CD-gating platform for model and agent quality, drift, cost, and guardrails, so we ship with evidence.

What you'd do
  • Build eval suites and CI gates for model and agent quality
  • Monitor drift, bias, cost, and latency in production
  • Turn evaluation into a repeatable platform across all delivery
Eval frameworksPrompt & eval engineeringObservabilityCost/latency optimisation
platformFoundational for Legal · HR · Finance

Data Platform & Privacy Engineer

Engineer the sovereign data foundation, pipelines, residency controls, encryption, pseudonymisation, access governance, so personal data never leaves the EU perimeter.

What you'd do
  • Build EU-resident pipelines with privacy-by-design and full lineage
  • Implement pseudonymisation, encryption, and access governance
  • Make data-minimization a default, not an afterthought
Data engineeringGDPR-by-designPrivacy-enhancing techIAM & lineage
Open roles

Governance, advisory

The EU AI Act and GDPR turned into a service: risk classification, conformity, outsourced DPO, and the frontier-vs-sovereign decision, sold as advisory.

governanceLegal + a governance overlay on every engagement

AI Governance & EU AI Act Specialist

“AI Officer-as-a-service”: map AI-system risk across the lifecycle, run conformity and documentation against the EU AI Act, and operate our frontier-vs-sovereign framework for clients.

What you'd do
  • Classify AI systems by risk tier and run conformity / documentation
  • Operate the frontier-vs-sovereign placement framework with clients
  • Liaise with auditors and regulators; build the governance operating model
EU AI ActRisk classificationModel cards & documentationAudit liaison
governanceLegal · HR across regulated industries

DPO / Data-Protection Counsel

Outsourced DPO and GDPR-meets-AI-Act advisory: DPIAs, legal basis for AI processing, automated-decision transparency, and worker-information rights.

What you'd do
  • Act as outsourced DPO and run DPIAs for AI processing
  • Advise on legal basis, Art. 22 automated decisions, and transparency
  • Bridge GDPR and the AI Act for HR, Legal, and regulated industries
GDPR & DPIAData-protection lawAI Act intersectionRegulatory engagement
governanceCross-pillar engagement leadership

AI Product Manager / Engagement Lead

Own the engagement's value case and product strategy, run eval and A/B rigour, and steer responsible-AI adoption from pilot to production.

What you'd do
  • Own the value case, roadmap, and pilot-to-production path
  • Run eval/A-B rigour and edge-case testing before scale
  • Align stakeholders and lead responsible-AI adoption
AI product managementEval designROI / value modellingStakeholder alignment
What we offer

Real production work, not slideware.

You ship AI into a client's production environment and own the outcome. The feedback loop is days, not quarters.

A sovereign stack worth mastering.

Self-hosted open-weight models on European infrastructure, the scarce, future-proof skillset, not another wrapper around a public API.

Governance as a first-class craft.

The EU AI Act made AI governance a profession. Here it is core delivery, not a compliance afterthought.

European, humane, and honest.

We build AI that respects the people whose data it touches, and we tell clients the truth, including when the answer is “don't.”

Introduce yourself

Don't see your
exact role?

We are building the team that proves Europe can deliver enterprise AI on its own terms. Tell us who you are and what you'd want to own. Rindogatan reads every introduction.

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