6 дней назад
Junior+ ML/AI Engineer (RAG/LLM)
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
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Описание вакансии
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TL;DR
Junior+ ML/AI Engineer (RAG/LLM): Building RAG-based systems, integrating voice and text AI models, and connecting ML services to backend applications with an accent on embeddings, vector search, speech processing, and graph databases. Focus on designing retrieval pipelines, integrating LLM and STT/TTS APIs, and working with graph queries and ontologies.
Location: Minsk office or remote
Company
Aksamit Mobile Solutions develops applications for tech startups and established enterprises in the US and Western Europe, working across fintech, health, social media, and blockchain products.
What you will do
- Build RAG-based machine learning and AI systems.
- Integrate large language models, including OpenAI and open-source models.
- Develop voice and text AI integrations using speech-to-text and text-to-speech models or APIs.
- Work with graph databases, relationships, graph queries, and ontologies.
- Integrate ML services into backend applications using REST APIs and webhooks.
- Learn the telecom domain and contribute effectively within a product team.
Requirements
- Junior+ level with hands-on experience building RAG systems or similar architectures.
- Strong Python skills and experience integrating ML services into backend applications.
- Practical experience with STT, TTS, LLMs, embeddings, vector search, chunking, and prompt engineering.
- Experience with graph databases such as Neo4j or similar technologies.
- English proficiency at B2 level or higher.
- Ability to work from the Minsk office or remotely.
Nice to have
- Experience with n8n, workflow orchestration, or pipeline automation tools.
- Telecom, IoT, or network services experience.
- Deep learning, MLOps, data visualization, or personal ML project experience.
- Docker or AWS, GCP, or Azure experience.
- Participation in Kaggle competitions.
Culture & Benefits
- Full-time employment with a 13th-month pay policy.
- Corporate events, gifts, and cash benefits for significant life events.
- Literature, educational course, sports, and corporate English compensation.
- Medical insurance, including dental services, after the probation period.
- Twenty-five vacation days and three additional days off after the probation period.
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