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P
AI Engineer Senior [Financial Assistant]
Plata Card
Worldwide2d ago
- Seniority
- Senior
About the role
<p><strong>About the team:</strong> We are growing the Financial Assistant team at Plata, building intelligent systems that support users in managing their finances, understanding spending, and interacting with financial products in a simple and intuitive way. This team plays a key role in improving customer experience, engagement, and the overall value of our core products. This is a customer-facing product in a regulated environment — accuracy, safety, and trust are non-negotiable.</p>
<p>We use AWS, Go, Python and cloud-based models, yet still flexible to mix ready-made tools and ship our custom solutions. We're all about building systems that deliver real, valuable results for our organization.</p>
<p>You will be a key specialist in a cross-functional team, working closely with backend, mobile and other LLM engineers.<br><br></p>
<p><strong>Challenges that await you:</strong></p>
<ul>
<li>Work with agentic architectures where needed: tool use, multi-step reasoning, orchestration, and failure recovery</li>
<li>Design and maintain eval infrastructure (offline test suites, golden datasets, regression harnesses) that gives a reliable signal after every change</li>
<li>Work with advanced prompts, set up RAG-oriented data sources for efficient retrieval, and evaluate model outputs to ensure accuracy, relevance, and quality</li>
<li>Implement safety and guardrails: hallucination detection, refusal strategies, factual grounding</li>
<li>Run online and offline experiments ( canary, A/B) to validate that changes improve real user outcomes</li>
<li>Own observability from day one: trace LLM calls, monitor quality drift, latency, and cost per session in production</li>
<li>Collaborate with backend engineers and product to ship reliable improvements, review code, and maintain production health</li>
</ul>
<p><strong>What makes you a great fit:</strong></p>
<ul>
<li>Strong classical ML fundamentals, you understand what's happening inside models, not just how to call their APIs</li>
<li>Strong eval mindset: you design the measurement system before writing the first prompt, and treat evals as a first-class engineering artifact</li>
<li>Hands-on experience with search and retrieval: dense/sparse/hybrid, reranking, query understanding — using managed tooling effectively, not necessarily from scratch</li>
<li>Practical experience with agentic architectures: tool use, orchestration, failure recovery</li>
<li>Safety-first thinking: guardrails, content policies, graceful degradation under uncertainty, especially in a context where wrong answers have real consequences</li>
<li>Production ML ownership: observability, latency budgets, cost tracking, regression detection</li>
<li>Expertise in Python and its ecosystem, as well as language- and framework-agnostic mindset to achieve project goals</li>
<li>Familiarity with open-source tools to build and evaluate RAG applications.</li>
<li>Excellent communication skills and ability to explain complex technical concepts to a broad audience of stakeholders</li>
<li>B1 or higher English level for effective communication with an international team</li>
</ul>
<p><strong>Your bonus skills:</strong></p>
<ul>
<li>Previous experience delivering business-critical ML/AI-powered applications for customer-facing products</li>
<li>Fine-tuning or distillation of LLMs for production use cases</li>
<li>Experience deploying open-source models (Llama, Mistral) in private/on-premise environments</li>
<li>Experience in fintech, banking, or regulated domains</li>
</ul>
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<div class="tn-atom"><strong>Our ways of working:</strong></div>
</div>
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<div class="tn-atom">
<ul>
<li><strong>Innovative Spirit: </strong>A commitment to creativity and groundbreaking solutions</li>
<li><strong>Honest Feedback:</strong> valuing open, transparent communication</li>
<li><strong>Supportive Team: </strong>a strong, collaborative community</li>
<li><strong>Celebrating Achievements: </strong>recognizing our wins together</li>
<li><strong>High-Tech Environment:</strong> a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li>
</ul>
</div>
</div>
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<div class="tn-atom"><strong>Our benefits:</strong></div>
</div>
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<div class="tn-atom">
<ul>
<li data-list="bullet"><strong data-stringify-type="bold">Relocation support</strong> to one of our hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family</li>
<li><strong>Flexible work </strong>from one of our offices or remotely within time zones from GMT-2 to GMT+5</li>
<li><strong>Healthcare</strong> <strong>Coverage</strong></li>
<li data-list="bullet"><strong>Education Budget:</strong> Language lessons, professional training and certifications</li>
<li data-list="bullet"><strong>Wellness Budget:</strong> Mental health and fitness activity reimbursements</li>
<li data-list="bullet"><strong>Vacation policy:</strong> 20 days of annual leave and paid sick leave</li>
</ul>
</div>
</div>
Perks & benefits
- Learning Budget
- Mental Wellness Budget
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