AI Engineer Middle+ / Senior [Financial Assistant]
New
P
Plata CardFintech
Worldwide, GMT-2 to GMT+5Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- B1 or higher English level
- Required Skills
- AWSPythonMachine LearningGo
Requirements
- Strong classical ML fundamentals, you understand what's happening inside models, not just how to call their APIs
- Strong eval mindset: you design the measurement system before writing the first prompt, and treat evals as a first-class engineering artifact
- Hands-on experience with search and retrieval: dense/sparse/hybrid, reranking, query understanding
- Practical experience with agentic architectures: tool use, orchestration, failure recovery
- Safety-first thinking: guardrails, content policies, graceful degradation under uncertainty, especially in a context where wrong answers have real consequences
- Production ML ownership: observability, latency budgets, cost tracking, regression detection
- Expertise in Python and its ecosystem, as well as language- and framework-agnostic mindset to achieve project goals
- Familiarity with open-source tools to build and evaluate RAG applications
- Excellent communication skills and ability to explain complex technical concepts to a broad audience of stakeholders
Responsibilities
- Work with agentic architectures where needed: tool use, multi-step reasoning, orchestration, and failure recovery
- Design and maintain eval infrastructure (offline test suites, golden datasets, regression harnesses) that gives a reliable signal after every change
- Work with advanced prompts, set up RAG-oriented data sources for efficient retrieval, and evaluate model outputs to ensure accuracy, relevance, and quality
- Implement safety and guardrails: hallucination detection, refusal strategies, factual grounding
- Run online and offline experiments (canary, A/B) to validate that changes improve real user outcomes
- Own observability from day one: trace LLM calls, monitor quality drift, latency, and cost per session in production
- Collaborate with backend engineers and product to ship reliable improvements, review code, and maintain production health
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