Netrolynx AI
AI Engineer
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About The Company
Parkside is an innovative early-stage legal technology SaaS provider dedicated to transforming the legal industry through automation and intelligent workflows. Our platform specializes in streamlining document-intensive legal processes for law firms and institutional clients, enabling them to operate more efficiently and accurately. With a proven product-market fit, a growing customer base, and a lean, agile engineering team, Parkside is positioned at the forefront of legal tech innovation. We are committed to fostering a collaborative environment where cutting-edge technology meets practical legal solutions, empowering our clients to focus on their core legal work while we handle the complexities of document management and workflow automation.
About The Role
We are seeking a highly skilled AI/ML Engineer to lead the development of advanced AI features within our core product. This is a hands-on role that offers the opportunity to shape the future of legal technology through the integration of sophisticated machine learning models. You will be responsible for designing, building, and deploying machine learning solutions that enhance document parsing, search capabilities, classification, and summarization. Your work will directly impact the efficiency and accuracy of our platform, providing significant value to our clients. The role involves working closely with cross-functional teams—including engineering, product management, and quality assurance—within an established Scrum environment that emphasizes continuous integration and infrastructure as code. You will also be tasked with optimizing model performance on AWS infrastructure to ensure low latency and cost-effectiveness, as well as building scalable data pipelines for training and evaluation purposes.
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Qualifications
The ideal candidate will possess over five years of experience as an AI/ML engineer, particularly in deploying NLP and machine learning models into production SaaS environments. Proven expertise in working with large language models (LLMs), including retrieval-augmented generation (RAG), fine-tuning, evaluation, and monitoring, is essential. Strong proficiency in Python is required, especially in building APIs and integrating models into applications. Familiarity with NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy, or TensorFlow is necessary. Experience working with AWS and distributed systems, along with designing and managing data pipelines for training and evaluation, is also crucial. Candidates should demonstrate a solid understanding of data orchestration tools and best practices for deploying scalable AI solutions.
Responsibilities
- Lead the design and implementation of machine learning models for document parsing, classification, search, and summarization features.
- Integrate large language models into the product workflows, establishing guardrails, evaluation metrics, and ongoing monitoring to ensure model reliability and compliance.
- Optimize model serving and inference processes on AWS infrastructure, including ECS, Lambda, and S3, to achieve low latency and cost efficiency.
- Develop and maintain robust data pipelines for training, evaluation, and continuous improvement of AI models using tools such as PostgreSQL, Redis, and OpenSearch.
- Collaborate with engineering, product, and QA teams within Scrum squads to deliver high-quality AI features in iterative cycles.
- Implement CI/CD pipelines and infrastructure as code practices to streamline deployment and scalability of AI components.
- Stay abreast of advances in AI and NLP, applying innovative techniques to enhance product capabilities and user experience.
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Benefits
At Parkside, we value our team members and offer a comprehensive benefits package that supports your professional growth and personal well-being. You will have the opportunity to work remotely or in a hybrid setup, providing flexibility to balance work and life. We provide competitive salary packages aligned with industry standards, along with ongoing learning and development opportunities to keep your skills at the forefront of AI and legal tech innovation. Our collaborative work environment fosters creativity and knowledge sharing, and you will be part of a pioneering team shaping the future of legal workflows. Additional benefits include health insurance, flexible working hours, and the chance to work on impactful projects that make a real difference in the legal industry.
Equal Opportunity
Parkside is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse team fosters innovation and drives our success, and we are dedicated to providing equal employment opportunities to all applicants and employees.
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