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About TensorOps
An applied-ML studio helping organizations design, train, and deploy production GenAI systems.
What You’ll Do
Python
An applied-ML studio helping organizations design, train, and deploy production GenAI systems.
What You’ll Do
- Translate business needs into prompts and LLM workflows
- Prototype with LangChain/LangGraph (RAG, tool-calling agents)
- Measure and optimize latency, accuracy, and cost
- Write Python “glue” code to integrate pipelines into services Work with PMs and ML architects to ship features
- Stay current on LLM research and share learnings
- Passionate about LLMs and GenAI (projects, blog posts, papers)
- Strong Python skills and prompt-engineering patterns (few-shot, RAG, function-calling)
- Able to balance latency, quality, and cost trade-offs
- Good at explaining technical ideas to non-technical stakeholders
- Enrolled in or recently completed (BSc/MSc in CS, Data Science, Info Mgmt) or equivalent experience
- Eval frameworks (LangSmith, RAGAS)
- Vector DBs (Qdrant, Pinecone, Milvus)
- Cloud GPUs or Triton inference
- Open-source LLM contributions
Python
- FastAPI
- Docker
- LangChain/LangGraph
- LLMs (OpenAI, Anthropic, etc.)
- MLflow/Kubeflow
- AWS/GCP
- Real-world impact, not just benchmarks
- Fast feedback and direct client work
- Mentorship from seasoned ML engineers
- Competitive salary, equipment budget, clear career growth
Key Skills
Ranked by relevance
python
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- Posted
- May 27, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Portugal
- Company
- TensorOps
Industries
Food
Beverage Services
Categories
Engineering
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3 roles aligned with this opportunity
View Job Details
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2026-05-19
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Senior Technology Specialist - Software Engineer (Golang Stream Lead)
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