Role Overview
We are seeking a highly skilled AI Engineer / Machine Learning Engineer with deep expertise in building, optimizing, and deploying advanced AI systems. The ideal candidate has strong experience with LLM-based architectures, vector databases, distributed AI agents, and end-to-end machine learning lifecycle management.
Design, develop, and deploy ML/DL models for production environments.
Build and optimize LLM-based systems including RAG pipelines, embeddings, and retrieval workflows.
Architect, implement, and maintain vector database solutions (Weaviate, Pinecone, Chroma, Qdrant).
Develop backend systems using FastAPI and microservice patterns.
Implement distributed AI agent systems and multi-agent orchestration.
Integrate ML models into full-stack applications (Python backend, Next.js frontend).
Oversee MLOps processes including model training, versioning, deployment, monitoring, and CI/CD integration.
Collaborate with product, data, and engineering teams to deliver scalable AI solutions.
ML / Deep Learning: Advanced expertise in training and deploying models.
LLM, RAG & Embeddings: Advanced proficiency with modern LLM frameworks and retrieval-augmented generation.
Vector Databases: Expert-level experience with Weaviate, Pinecone, Chroma, or Qdrant.
Backend Architecture: High-level proficiency with FastAPI, microservices, and modern API design.
Python & PyTorch: Strong development and deployment experience.
Next.js: Practical understanding of client/server communication and integration with AI backends.
Distributed AI Agents: Deep understanding of agent-based AI systems.
MLOps: Experience with model lifecycle management is a strong advantage.
Skills Required
- Advanced expertise in training and deploying machine learning and deep learning models
- Advanced proficiency with LLM frameworks, RAG, and embeddings
- Expert-level experience with Weaviate, Pinecone, Chroma, or Qdrant
- High-level proficiency with FastAPI, microservices, and modern API design
- Strong Python and PyTorch development and deployment experience
- Practical understanding of Next.js and client/server integration with AI backends
- Deep understanding of distributed, agent-based AI systems
- Experience with MLOps and model lifecycle management
What We Do
Silver Bell Group is a nearshore business process outsourcing provider helping global companies streamline sales and customer experience. Founded in 2014, it builds dedicated teams in South and East Europe that operate as extensions of clients’ businesses. Its tailored services span customer engagement, sales, lead generation, technical support, finance and back-office operations, marketing, talent management, and customer acquisition and retention.
