6 часов назад
Generative AI Developer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Generative AI Developer (Internal LLMs/RAG): Building production-grade, full-stack GenAI applications integrated with enterprise systems and workflows with an accent on prompt engineering, RAG architectures, data analysis, and secure private LLM usage. Focus on designing reliable LLM-driven services, evaluating model outputs, and balancing security, compliance, cost, latency, and performance in enterprise environments.
Location: Bucharest, Romania
Company
SS&C is a global provider of investment, financial services, healthcare, and enterprise automation software, including the Blue Prism intelligent automation platform.
What you will do
- Design, develop, and optimize production-grade applications using internal and private LLM platforms.
- Create, test, evaluate, version, and maintain prompts using few-shot prompting, prompt chaining, and RAG.
- Build full-stack GenAI applications, including backend services, REST APIs, and web-based user interfaces.
- Integrate LLM capabilities with enterprise systems, applications, and business workflows.
- Analyze, validate, transform, and structure data for GenAI use cases and AI pipelines.
- Document system behavior and design decisions while aligning solutions with enterprise security, compliance, and governance standards.
Requirements
- 2–3 years of experience building GenAI or LLM-based applications.
- 1–3 years of hands-on prompt engineering experience.
- 2–3 years of data analysis or business analysis experience.
- Ability to code in at least one modern programming language and build end-to-end applications.
- Experience with internal or private LLM platforms, RAG architectures, vector search, APIs, and service-oriented architecture.
- Strong written English skills are required for prompt design and technical documentation.
Nice to have
- Blue Prism RPA experience.
- Experience with enterprise web applications and regulated environments.
- Familiarity with LLMOps or MLOps concepts.
- Knowledge of document-heavy domains such as contracts, agreements, and reports.
Culture & Benefits
- Build real, production-grade GenAI applications rather than isolated models or scripts.
- Work with secure internal LLM platforms and controlled enterprise data.
- Help shape responsible GenAI adoption at scale.
- Collaborate as part of an end-to-end engineering team.
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