Senior Generative AI Engineer

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).

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 [email protected] with any staffing-related inquiries.