Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build multi pass LLM generation pipelines
- Collaborate with data engineers on data schemas
- Define automated test suites for AI outputs
- Design NLI validation layers
- Implement RAG retrieval routines
- Manage token budgets
- Optimize prompts and structured output templates
- Tune inference throughput and latency
Perks/Benefits
- Company-paid certifications
- Conferences
- Financial consultations
- Language courses
- Legal consultations
- Medical insurance
- Meetups
- Mental health support
- Remote work
- Workshops
Skills/Tech-stack
Asynchronous programming | Benchmarking | Docker | Evaluation Frameworks | Fine Tuning | GPU Resource Optimization | Hybrid retrieval | Kubernetes | LLM Inference | LLama 3.1 | Langchain | Llamaindex | Mixtral | NLI | Natural Language | Natural language inference | Neo4j | Prompt engineering | Python | Qdrant | RAG | Resource Optimization | TGI | Tree sitter | Unit Testing | VLLM | Vector Search
Education
N/A
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