🌌 AI Developer | SkillCampVR

📍 Location: Remote / Hybrid (Europe preferred)
⏰ Full-time
💻 Reports to: CTO / Founders

We are building an enterprise-grade AI assistant that helps organizations access and use their knowledge instantly and securely. Our system combines Retrieval-Augmented Generation (RAG), multi-tenant architecture, and secure cloud components to deliver accurate, context-aware answers inside complex corporate environments.

We are now looking for a Machine Learning Engineer to join our core technical team and help us take our RAG stack to the next level.

⚡️Responsibilities:

You will be responsible for designing, improving and maintaining the intelligence layer of our platform. This includes:

RAG System Development
- Improve our existing Python-based RAG pipelines (indexing, embedding, retrieval, reranking).
- Implement vector database improvements (index updates, migrations, performance tuning).
- Build robust document preprocessing & chunking pipelines for multi-format data.

LLM Integration
- Integrate and optimize prompts and workflows with OpenAI models.
- Experiment with alternative LLMs (optional mode: BYOM/BYO-LLM).
- Create guardrails, evaluation metrics, and automated quality tests.

Infrastructure & Backend
- Work closely with our AWS engineer to deploy, monitor, and scale the RAG services.
- Implement secure data flows (S3, Lambda, Bedrock, IAM, API Gateway, etc.).
- Help design multi-tenant and on-prem variations of the architecture.

Search, Ranking & Embeddings
- Evaluate new embedding models and retrieval strategies.
- Improve semantic search quality and domain-specific relevance.
- Research emerging techniques (rerankers, hybrid search, small local LLMs, etc.).

🧩Requirements:

We are a startup, so we value practical engineering ability, ownership, and curiosity.

- Solid Python skills (fast, clean, production code).
- Hands-on experience with LLMs (OpenAI API or similar).
- Extensive experience with RAG systems and vector databases (Qdrant, Pinecone, FAISS, etc.).
- Familiarity with AWS (Lambda, S3, EC2, IAM, CloudWatch, API Gateway).
- Experience with document extraction (OCR, PDF parsing, pipelines).
- Good understanding of embeddings, semantic search, and prompt engineering.
- Ability to take a feature from idea to deployed solution.

💎 What We Offer:

- Work directly with founders on a high-impact AI product.
- A modern stack: Python, OpenAI, AWS, Qdrant, FastAPI (and you can shape it further).
- High degree of autonomy and real influence on the product architecture.
- Opportunity to work at the frontier of enterprise AI & RAG systems.
- Flexible remote work

🔗 Apply: you may send your CV to %contact_placeholder% (telegram)

➡️Если Вы хотите разместить свою вакансию или свое резюме — @natalie_spacehub
➡️Если Вы хотите сделать продающее резюме или прийти на карьерную консультацию — @Liudmila_Shiva
📩По вопросам сотрудничества писать сюда —@Liudmila_Shiva
#vacancy #вакансии@careerYlej