3 дня назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Python/LLMs): Designing and building production-grade AI applications and backend services with an accent on reliable LLM integration, evaluation, observability, and enterprise systems. Focus on improving the predictability of probabilistic AI systems, building reusable retrieval and orchestration components, and supporting production workloads.
Location: Sofia, Bulgaria; hybrid or full remote
Company
is a technology services provider supporting enterprise clients through digital solutions across multiple industries.
What you will do
- Design and build production-grade AI applications and Python services using LLMs and other AI capabilities.
- Translate business requirements and AI use cases into scalable backend services, APIs, workflows, and enterprise integrations.
- Design evaluation frameworks, repeatable test cases, and techniques that improve the consistency and predictability of LLM-powered features.
- Implement observability, instrumentation, tracing, logging, and monitoring for production AI systems.
- Build reusable components for prompting, model interaction, retrieval, evaluation, and orchestration.
- Contribute to architecture decisions, technical best practices, stakeholder communication, and production support.
Requirements
- 5+ years of experience in software engineering, backend engineering, applied AI, or a related field.
- Strong Python fundamentals and experience building maintainable, production-grade Python applications, backend services, and APIs.
- Experience designing and deploying AI or LLM-powered products beyond proof-of-concept or notebook environments.
- Strong understanding of modular design, testing, version control, CI/CD, and production observability.
- Hands-on experience evaluating LLM outputs and creating repeatable AI application test cases.
- Strong problem-solving and communication skills, including direct work with technical and business stakeholders.
Nice to have
- Experience with RAG, semantic search, embeddings, vector databases, or agentic LLM workflows.
- Familiarity with structured LLM outputs, tool calling, schema-driven patterns, and AI evaluation platforms.
- Experience with Azure AI Foundry, Microsoft Fabric, Databricks, cloud infrastructure, containers, or Python deployment tooling.
- Experience integrating AI applications with enterprise data platforms and semantic layers.
- Exposure to consulting, financial services, manufacturing, or other enterprise environments.
Culture & Benefits
- Work with enterprise clients and global delivery teams.
- Global organization with more than 1,000 professionals and delivery centers across Europe, the United States, and Argentina.
- People-first culture focused on responsible growth and sustainable business practices.
- Opportunities to contribute to community and CSR initiatives.
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