Senior Generative AI Engineer

Terabase Energy

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profile Job Location:

Paris - France

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Description

What We Do

At Terabase Energy we believe that digitalization and automation will drive the next wave of innovation and cost reduction in large scale solar. To fully unlock the potential of this opportunity Terabase is developing an interconnected software and construction automation platform. We work alongside project developers owners and engineering & construction firms to support the design optimization and construction of huge solar projects around the world. Our team is a blend of solar-industry veterans and novices thought-leaders dreamers software electrical and mechanical engineers coders product managers project managers sales and marketing professionals. Terabase Energy is a well-funded scale-up headquartered in Berkeley California with several other offices around the world with the most recent one being launched in Paris.

Our Paris office hosts our core R&D team in charge of the development of our flagship product Construct. Construct is a B2B SaaS construction management and quality control platform designed from the ground up for utility-scale solar projects. By combining GIS AI/ML IoT and mobile technologies the solution drives major improvements in safety quality cost and schedule for the solar industry. Construct has supported morethan 16 GW of projects from leading owners and EPCs.

The Role

Terabases Senior Generative AI Engineer is a member of the AI Team reporting to the Head of AI. As a member of this team you will contribute to the design development and deployment of advanced GenAI models and applications. You will work on the full lifecycle from research to production mentor junior team members and help define our technical strategy for LLMs and multimodal systems.

This is a high-impact role for an experienced engineer who can bridge cutting-edge research with robust engineering translating the latest advances in LLMs RAG and agent-based workflows into scalable real-world applications.

Responsibilities

  • 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

Minimum Qualifications

  • 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.

Preferred Qualifications

  • 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.

What We Offer



Benefits

Compensation And Benefits

Our salary ranges are determined by role level and location. Within each posted range individual pay is determined (and may be greater or higher) dependent on work location and additional factors including job-related skills experience and relevant education or training. Terabase offers competitive compensation along with a comprehensive benefits package including:

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!

Terabase is an equal opportunity employer. We recruit hire employ train promote and compensate individuals based on job-related qualifications and abilities. We strongly encourage people of all backgrounds to apply.

We do not discriminate for any reason including race color sex gender age religion or religious creed national origin ancestry citizenship marital status sexual orientation gender identity gender expression genetic information physical or mental disability military/ veteran status or any other characteristic protected by law.

We offer a welcoming and inclusive environment in service to one another our products the diverse consumers we represent and the communities we call home.

Principles only. This role is not open to receiving agency candidates and any contingent submissions will not be considered. Terabase Energy does not utilize third-party recruitment agencies. Please contact our Recruiting team at with any staffing-related inquiries.


Required Experience:

Senior IC

DescriptionWhat We DoAt Terabase Energy we believe that digitalization and automation will drive the next wave of innovation and cost reduction in large scale solar. To fully unlock the potential of this opportunity Terabase is developing an interconnected software and construction automation platfo...
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Key Skills

  • APIs
  • C/C++
  • Computer Graphics
  • Go
  • React
  • Redux
  • Node.js
  • AWS
  • Library Services
  • Assembly
  • GraphQL
  • High Voltage