ai engineer

findev builds intelligent systems for financial markets, combining AI, distributed systems, and quantitative analytics to transform natural language into structured actions and insights.

• Design and own the architecture of production AI agents and multi-agent systems;
• Build orchestration layers for reasoning, tool execution, memory, and workflow state;
• Develop integrations between AI systems, analytical engines, internal platforms, and real-time data sources;
• Define boundaries between model-driven decisions and deterministic business logic;
• Design human-in-the-loop workflows, approval mechanisms, and safety guardrails;
• Decide when to use an AI agent and when a traditional workflow is more suitable;
• Optimize latency, throughput, and infrastructure costs across the AI stack;
• Improve response times through caching, model routing, context management, and parallel execution;
• Design scalable distributed systems with queues, retries, rate-limit management, and fault tolerance;
• Build evaluation frameworks, regression suites, and benchmarking systems to measure agent quality;
• Implement validation layers and hallucination-mitigation mechanisms;
• Ensure that AI decisions are explainable, auditable, and reproducible;
• Build recommendation and optimization engines powered by historical and real-time data;
• Partner with engineering, data, and quantitative teams to deliver conversational analytics and intelligent insights.

• 8+ Years of professional software engineering experience with a strong background in large-scale production systems;
• 5+ Years of experience in applied ML, AI, or data-intensive platforms;
• 2+ Years of hands-on experience building and operating LLM-powered systems in production environments;
• Strong software engineering fundamentals and distributed systems expertise;
• Experience architecting complex systems end-to-end, from design and implementation to monitoring, evaluation, and optimization;
• Experience leading technical decisions and owning critical architectural components;
• Experience building agentic systems, including tool-calling loops, orchestration layers, and multi-agent workflows used by real users;
• Nice to have: experience in financial services, fintech, or trading systems, understanding of electronic trading workflows or capital markets, familiarity with fixed-income products and execution analytics, experience integrating AI systems with real-time data streams, experience building recommendation or optimization engines, experience operating large-scale LLM systems in production, knowledge of model routing, caching strategies, and inference cost optimization, experience with conversational analytics and natural-language interfaces over complex datasets, familiarity with Kubernetes, Docker, and cloud-native infrastructure, experience with evaluation frameworks and automated benchmarking systems.

• Remote or hybrid work setup;
• Health insurance coverage for employees based in Poland and Cyprus;
• 50% Health insurance coverage for spouses and children in Poland and Cyprus;
• 24 Days of paid vacation;
• 10 Days of paid sick leave;
• 50% Reimbursement for professional training, education, and conferences;
• Professional team and teambuilding events;
• Relocation support to Poland or Cyprus, including visa and permit processing;
• Flight tickets and first-month accommodation for relocated employees and their official family.