Senior Generative AI Engineer
Résumé du poste par JobGrid
Senior Generative AI Engineer at Terabase Energy: Paris, France; Hybride; Senior; IT; Data Science et ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Paris, France, Hybride
- Role classification: IT, Data Science et ML, Senior
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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 more than 16+ GW of projects from leading owners and EPCs.
The Role
Terabase’s 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).