Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build LLM generation pipelines
- Create automated test suites for AI outputs
- Define data schemas for LLM pipelines
- Deploy AI-assisted documentation pipelines
- Design NLI validation layers
- Implement RAG retrieval routines
- Integrate graph context and vector search
- Manage token budget
- Optimize prompts and structured output templates
- Tune inference throughput and latency
Perks/Benefits
- Company paid premium medical package
- Company-paid certifications
- Full remote working possibilities
- Internal events meetups conferences workshops
- Language courses
- MyBenefit Cafeteria Platform
- Udemy access
Skills/Tech-stack
Asynchronous processing | Benchmarking | Docker | GPU Optimization | Kubernetes | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | Natural Language | Natural language inference | Neo4j | Python | Qdrant | RAG | Text Generation | Text generation inference | Tree sitter | Unit Testing | VLLM | Vector Search
Education
N/A
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