Utilidata is a fast-growing energy technology company using distributed artificial intelligence (AI) to accelerate the clean energy transition and better serve utility customers. As the electric grid becomes more complex with the rapid increase of electric vehicles, distributed solar, batteries, heat pumps and extreme weather, utilities need real-time visibility of grid conditions. Utilidata’s distributed AI platform, powered by our custom NVIDIA chip, is transforming the way utility companies operate with real-time visibility at the grid edge to better utilize customer energy resources to reduce power outages and enable quicker storm recovery.
We are seeking a highly skilled and innovative Language Model Engineer to join our team. In this role, you will be responsible for designing, implementing, and refining advanced, language-model-based applications for deployment on edge devices. Key areas include: knowledge-augmented AI; reasoning, planning, and problem-solving; code-generation and API calling; and integrating with data sources. You will collaborate with cross-functional teams to build and deploy AI-driven solutions that work with and enhance our other product offerings. We are looking for candidates who are collaborative, adaptive and mission-driven. This is a remote position based in the United States. Candidates will be expected to collaborate cross-functionally with remote teams based across the country.

Responsibilities

• Contribute to technical leadership of our AI roadmap
• Design and implement advanced, language-model applications using existing frameworks (Langchain or similar)
• Design and implement language-model workflows to solve planning, reasoning, and problem-solving tasks
• Work with subject matter experts to develop and integrate bodies of existing knowledge with language models to create systems that can utilize that information to reason
• Work with data engineers and scientists to integrate language models with data sources, ensuring seamless data flow and processing within applications
• Develop and optimize systems that can generate, refine, and utilize code and existing APIs
• Fine-tune and optimize models and workflows for deployment in compute-constrained environments such as edge platforms
• Collaborate closely with software engineers, data scientists, and product managers to produce language-model solutions that are aligned with other product capabilities and business goals
• Specify and create datasets and evaluation methodologies to facilitate development and iterative improvement of language-model applications

Minimum Qualifications

• 8+ years of professional experience including 5+ years of experience in NLP, machine learning, or a combination of educational and professional experience commensurate with this level of experience
• Proven experience in building and deploying language-model applications
• Hands-on experience with LangChain or similar frameworks
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with NLP libraries and tools (e.g., Hugging Face, OpenAI, etc)
• Strong understanding of language-model workflow-orchestration, RAG and extensions, code generation, and API integrations
• Experience with production-quality code-development tools and processes
• Excellent problem-solving skills and attention to detail
• Strong communication skills with the ability to explain complex, technical concepts to non-technical stakeholders
• Ability to work in a fast-paced, collaborative environment
• Ability to travel 10% of the time

Enhanced Qualifications (Nice to Have)

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD is a plus
• Familiarity with edge/IoT devices

Salary Range: $140,000 to $170,000 depending on experience
Location: This position can be performed remotely from anywhere in the United States.

• Contribute to technical leadership of our AI roadmap
• Design and implement advanced, language-model applications using existing frameworks (Langchain or similar)
• Design and implement language-model workflows to solve planning, reasoning, and problem-solving tasks
• Work with subject matter experts to develop and integrate bodies of existing knowledge with language models to create systems that can utilize that information to reason
• Work with data engineers and scientists to integrate language models with data sources, ensuring seamless data flow and processing within applications
• Develop and optimize systems that can generate, refine, and utilize code and existing APIs
• Fine-tune and optimize models and workflows for deployment in compute-constrained environments such as edge platforms
• Collaborate closely with software engineers, data scientists, and product managers to produce language-model solutions that are aligned with other product capabilities and business goals
• Specify and create datasets and evaluation methodologies to facilitate development and iterative improvement of language-model application