Backend Engineer, AI Agent Systems
Tech Stack / Keywords
Firma i stanowisko
Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users.
Wymagania
- Strong backend engineering fundamentals supported by experience with production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models.
- Confidence debugging distributed systems under load.
- Understanding of production observability, incident management and performance optimization.
- A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration.
- Ability to work independently and make pragmatic engineering decisions in an ambiguous environment.
Obowiązki
- Build and operate backend systems serving AI-powered functionality in production.
- Design inference pipelines, orchestration layers and service boundaries around Machine Learning models.
- Take ownership of production monitoring, logging, alerting and incident response.
- Optimize latency and throughput across inference, caching, batching and streaming.
- Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems.
- Diagnose distributed-system issues under production load.
- Continuously improve system performance and reliability using real-world production signals.
Benefity
- Position offered under an employment contract.
- Compensation is based on experience, responsibility, location, and market benchmarks.
- Compensation package may include base salary and equity.
- Company laptop provided if required.
- Remote-first, globally distributed organization with flexible working hours and overlapping collaboration time.
- Recruitment process includes technical assessment, HR interview, technical interviews, and leadership interview.
- Possible fast-track to technical interview for strong candidates.
Inne informacje
Zgodnie z art. 13 ust. 1-2 Rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE (ogólne rozporządzenie o ochronie danych) (dalej 1EODO21) informujemy, 7Ce: I.
Talentica
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