Talentica is developing an AI-native assistant designed to streamline everyday communication, organization, and complex workflows. As a Backend Engineer, you will own the inference and orchestration layer, building production systems that transform model capabilities into stable, high-performance APIs.
Key responsibilities
- Build and operate backend systems serving AI-powered functionality in production environments.
- 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 processes.
- Diagnose and resolve distributed-system issues under production load.
Requirements
- Strong backend engineering fundamentals with proven experience in production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
- Confidence in debugging distributed systems and managing production observability.
- A delivery-oriented mindset focused on shipping, observing behavior, and improving through iteration.
What we offer
- Opportunity to work in a fully remote, globally distributed organization.
- Collaborative environment with a focus on ownership and pragmatic engineering decisions.
- Exposure to a modern tech stack including Python, Node.js, PyTorch, and Kubernetes.
- Competitive compensation package including base salary and equity.