Conversational AI that’s anything but artificial. Fast Company named us the #1 Most Innovative AI Company in the World.
Messaging • Automation • Bots & AI • Artificial Intelligence • Conversational AI
1001 - 5000
💰 $2.3M Post-IPO Equity on 2012-06
April 18
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Conversational AI that’s anything but artificial. Fast Company named us the #1 Most Innovative AI Company in the World.
Messaging • Automation • Bots & AI • Artificial Intelligence • Conversational AI
1001 - 5000
💰 $2.3M Post-IPO Equity on 2012-06
• We are at the forefront of developing state-of-the-art Large Language Models (LLMs) for business. As a Software Engineer specialized in Large Language Models, you will be responsible for creating and maintaining robust systems that streamline the management of these models throughout their lifecycle. Your expertise will ensure the efficient fine-tuning of models, seamless model serving, and smooth integration into our core product. • You will: - Model Lifecycle Management: Design and implement systems to facilitate the end-to-end management of Large Language Models. This includes versioning, tracking changes, and ensuring proper documentation of model configurations and performance. - Model Fine-Tuning: Collaborate with NLP researchers and data scientists to implement fine-tuning pipelines that optimize model performance on specific tasks or domains. Enable efficient experimentation with different training data and hyperparameters. - Model Serving Infrastructure: Develop scalable and reliable infrastructure for serving LLMs in real-world applications. Ensure high availability, low latency, and effective resource allocation to handle production-level demands. - Application Integration: Design and build libraries and tools to help integrate LLMs into a variety of applications and services. Collaborate with application development teams to ensure smooth integration. - Continuous Integration and Deployment: Implement robust CI/CD pipelines for model deployment and updates. Automate testing and validation processes to maintain model accuracy and reliability in production environments. - Model Monitoring and Analytics: Develop monitoring solutions to track model performance, usage patterns, and potential issues. Utilize metrics and logs to identify opportunities for model improvement and optimize resource utilization. - Collaboration and Communication: Work closely with cross-functional teams, including NLP researchers, machine learning engineers, product managers, and DevOps, to align goals, exchange ideas, and deliver high-quality solutions. - Research and Innovation: Stay up-to-date with the latest advancements in NLP, model lifecycle management, and Large Language Models. Participate in research discussions and propose innovative approaches to improve model capabilities and management processes.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field - MUST • 3 years of software development industry experience - MUST • Strong programming skills in Java or Python - MUST • Experience with cloud platforms and containerization technologies (e.g., GCP, Docker, Kubernetes). • Excellent problem-solving skills and ability to thrive in a dynamic, fast-paced environment. • Strong communication and collaboration skills to work effectively in a team-oriented setting. • Required to participate in on- call rotations as needed.
• Health: medical, dental, and vision • Time away: vacation and holidays • Development: Generous tuition reimbursement and access to internal professional development resources • Equal opportunity employer • #LI-Remote
Apply NowApril 5
April 5
201 - 500
🇵🇱 Poland – Remote
💵 zł51k - zł60k / year
💰 Secondary Market on 2015-05
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
April 3
1001 - 5000