Senior Generative AI Engineer
Terabase Energy
full-time
Posted on:
Location Type: Hybrid
Location: Paris • 🇫🇷 France
Visit company websiteJob Level
Senior
Tech Stack
PythonPyTorchTensorflow
About the role
- Develop LLM-powered applications and multimodal AI systems (text, vision, structured data).
- Architect and implement retrieval-augmented generation (RAG) pipelines.
- Drive the design of AI agents that integrate perception (CV), reasoning (GenAI), and action (APIs, robotics).
- Mentor and guide junior engineers and researchers in best practices for GenAI development.
- Collaborate with product managers and domain experts to translate business requirements into AI-driven solutions.
- Define standards for evaluation, reliability, and trustworthiness of GenAI outputs.
- Stay at the forefront of GenAI research, evaluating new models, frameworks, and architectures for strategic adoption.
- Contribute to the scaling of our ML infrastructure (distributed training, vector databases, model serving, monitoring).
Requirements
- MSc or PhD in Computer Science, Machine Learning, or related field, or equivalent industry experience.
- 5+ years of experience in ML/AI, including at least 2+ years focused on LLMs and GenAI.
- Strong track record of deploying LLM applications in production (chatbots, MCP servers, RAG systems, agents).
- Deep expertise in transformer architectures, embeddings, and fine-tuning techniques.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, ...).
- Experience with MLOps practices: CI/CD for ML, model monitoring, performance evaluation.
- Ability to work cross-functionally, influence technical strategy, and communicate complex concepts clearly.
- Experience with multimodal models (vision-language, document/image understanding).
- Familiarity with MCP, LangChain, LangGraph, LlamaIndex, Hugging Face ecosystem, vector DBs.
- Background in building autonomous AI agents for enterprise workflows.
- Prior work in industrial, energy, or robotics contexts where accuracy and reliability are critical.
Benefits
- Generous time off and holiday policy
- Remote flexibility
- Flexible time off
- Comprehensive benefits package
- Career progression
- 401k match
- Stock options
- Home office set up allowance
- And much more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
LLM applicationsmultimodal AI systemsretrieval-augmented generation (RAG)transformer architecturesembeddingsfine-tuning techniquesPythonMLOpsCI/CD for MLmodel monitoring
Soft skills
mentoringcollaborationinfluencing technical strategycommunication of complex concepts
Certifications
MSc in Computer SciencePhD in Machine Learning