About HighLevel:
HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.
Our Website - https://www.gohighlevel.com/
YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g
Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/
Our Customers:
HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.
Scale at HighLevel:
We work at scale; our infrastructure handles around 3 Billion+ API hits & 2 Billion+ message events monthly and over 25M views of customer pages daily. We also handle over 80 Terabytes of data across 5 Databases.
Role & Responsibilities
We are seeking a Senior AI Engineer to join our platform team. The successful candidate will be instrumental in experimenting with, developing, and enhancing AI capabilities. These include Conversational Chatbots, Voice Agents, Speech Understanding, Natural Language Understanding, and Search and Retrieval Optimization, aiming to advance the next generation of GoHighLevel AI products.
•Architecture Design: Collaborate with Data and DevOps engineers to design robust AI systems architecture that supports scalable and efficient AI solutions.
•Ownership and Accountability: Assume full ownership of model accuracy, coordinating with stakeholders to ensure continuous progress and alignment with business objectives.
•Release Management: Manage the lifecycle of software releases, planning strategically to meet project timelines and performance goals.
•Quality Assurance: Uphold high standards of code quality by conducting regular design and code reviews, ensuring the maintenance of excellent development practices.
- Candidates must have extensive hands-on experience with Python. Proficiency in key ML/DL frameworks such as Pandas, Numpy, Scikit-learn, Tensorflow, Pytorch, and Huggingface is essential.
- Demonstrated ability to build, tune, and evaluate advanced LLMs using PyTorch, Tensorflow, and HuggingFace. Applicants should have a deep understanding of model architectures, especially Transformers and pre-GPT models like BERT and T5, as well as current open-source SOTA LLMs.
- Must be skilled in managing diverse data sources, developing ETL pipelines, curating datasets, extracting features, and innovating with both new and existing models to drive project outcomes.
- Solid experience in developing REST APIs using Flask or FastAPI is required, along with a comprehensive understanding of MLOps principles. Familiarity with tools like MLflow and Kubeflow is crucial for efficient model development and tracking.
- Grounded experience in using data science, ML, and NLP techniques to analyze and improve natural language generation performance. Experience with retrieval augmented generation (RAG), various RAG approaches and optimizations, and prompt engineering is required.
- Candidates should be able to collaborate effectively with product managers, designers, and engineers to define and scope out requirements. This role demands proactive involvement throughout all stages of the software development lifecycle, from conception to deployment.
- Experience with deploying, monitoring, and optimizing solutions on cloud platforms is necessary, focusing on scalability, reliability, and security to ensure optimal performance.
- Applicants must demonstrate a strong ability to solve both closed and open-ended problems, with a knack for traditional application engineering and system performance optimization.
- A Bachelor’s degree in Engineering, Computer Science, or a related field is required, along with at least 3 years of AI engineering experience. Strong interpersonal, communication, and problem-solving skills are crucial.
- Exploratory Call
- Technical Round I/II
- Assignment
- Cultural Fitment Round
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organization stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
