AI Engineer (Lat61)

AI Engineer (Lat61)

Poland, Remote or Ukraine, Remote or Romania, Remote

Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. 

Join us for the ride!

Lat61 Mission

The Lat61 platform will power the next generation of cybersecurity and AI-enabled decision-making. As an AI Engineer on this team, you will help deliver:

• Advanced AI Model Development: Designing and optimizing machine learning models (supervised, unsupervised, and NLP-based) to drive security-focused intelligence across the platform.

• RAG & Embedding Workflows: Building and deploying RAG pipelines, embeddings, and feature stores that enable context-aware, real-time decision-making.

• Production-Ready AI Systems: Collaborating with Data and MLOps engineers to package, deploy, and monitor models in scalable, cloud-native environments.

• AI-Driven Analytics: Leveraging deep learning and NLP to provide actionable insights into risk posture, compliance, and security events.

• Future-Proofing for Quantum: Researching and prototyping AI approaches that can adapt to post-quantum cryptographic standards and automated remediation.

About the Role: 

As an AI Engineer, you will work closely with an AI & Data Engineering team to develop, deploy, and optimize AI models that power our next-generation security products. 

This is a hands-on engineering role, requiring expertise in machine learning model development, deployment, and optimization. You will contribute to multiple AI initiatives, ensuring that models are efficient, scalable, and production-ready. 

Your Day to Day: 

• Model Development & Optimization: Implement, refine, and maintain ML models (supervised, unsupervised, NLP-based models). 

• Production Integration: Work with Data/MLOps engineers to package, deploy, and monitor models within a robust CI/CD pipeline. 

• Performance Tuning: Optimize model efficacy, efficiency, and reliability   

• Parallel Project Support: Split or manage multiple AI initiatives to enable faster execution across various R&D efforts.

What you bring to the table: 

• At least 4 years of experience in AI/ML Engineering with strong hands-on expertise in developing and deploying production-grade ML models.

• Strong ML & AI Fundamentals: Hands-on experience with supervised/unsupervised learning, NLP, and deep learning techniques.

• Production Experience: Proven track record of building, optimizing, and deploying models into production environments.

• Model Deployment & MLOps Experience: Comfortable working with containerized models, cloud-based AI pipelines (AWS preferred), and CI/CD for ML. 

• Proficiency in Python & ML Frameworks: Experience with PyTorch, TensorFlow, Scikit-learn, or similar tools. 

• Performance-Driven Mindset: Skilled in optimizing models for accuracy, efficiency, and scalability. 

• Collaboration & Growth: Thrives in a cross-functional team and is eager to learn from and contribute to AI best practices. 

Why Join Us?

• Work on Cutting-Edge AI: Build and optimize real-world AI solutions across multiple security-focused product lines.

• Be a Key Player in AI Deployment: Own critical aspects of model development, productionization, and optimization.

• Learn & Grow in a High-Impact Team: Collaborate with top AI engineers and scale AI innovation within a growing company.