AI Engineer

We are seeking a talented AI Engineer to join our team on a full-time, remote basis, working U.S. business hours. In this role, you will be responsible for building, deploying, and enhancing AI-powered systems and features throughout the entire development lifecycle. From prototyping and model development to production deployment, integration, and ongoing performance monitoring, you will play a critical role in turning AI concepts into reliable, scalable products. The ideal candidate is highly skilled in Python and machine learning, with hands-on experience in NLP or large language model (LLM) applications, and is comfortable working independently while making informed technical decisions.

Key Responsibilities

- Design, develop, and iterate on AI-powered systems and features, transforming prototypes into production-ready solutions.
- Apply machine learning techniques to address practical product and customer challenges.
- Architect and maintain scalable, reliable data and model inference pipelines, optimizing for performance and efficiency.
- Identify and resolve bottlenecks in data processing and model execution workflows.
- Integrate AI models seamlessly into existing product infrastructure and software systems, managing the full deployment lifecycle from experimentation to monitoring.
- Collaborate with APIs and supporting infrastructure to ensure smooth integration.
- Stay updated with the latest advancements in AI, machine learning, NLP, and LLMs, evaluating new tools and techniques for practical application.
- Translate cutting-edge research into measurable improvements in product performance.
- Monitor deployed models, diagnose issues, and evaluate performance against benchmarks and quality standards.
- Drive continuous improvement through systematic testing, evaluation, and retraining as necessary.
- Document technical approaches, findings, and implementation decisions clearly and thoroughly.
- Work closely with cross-functional technical teams to align AI capabilities with product goals, contribute to architecture decisions, and communicate progress and challenges proactively.

Required Qualifications

- Proven experience in building and deploying AI or machine learning systems in a professional environment.
- Strong proficiency in Python programming.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or equivalents.
- Solid understanding of NLP, large language models, or conversational AI, with practical experience implementing these technologies in products.
- Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Experience with model hosting, deployment, scaling, and monitoring.
- Strong knowledge of APIs and integrating AI components into broader software ecosystems.
- Ability to evaluate model performance, troubleshoot issues, and enhance system reliability.
- Excellent written and verbal communication skills in English.

Preferred Qualifications and Culture Fit

You will excel in this position if you take ownership of technical challenges, make thoughtful decisions when requirements are ambiguous, and communicate progress proactively in a remote, asynchronous work environment. A genuine curiosity about emerging AI technologies, a commitment to high-quality work, and a practical approach to balancing technical excellence with delivering functional solutions are key to thriving here.

Typical Day

Your daily activities will include reviewing team updates and product requirements, refining AI workflows and inference pipelines, debugging integrations, and evaluating model performance. You will develop and test AI features using Python and relevant ML frameworks, collaborate on architecture and priorities with the technical team, deploy code, document technical decisions, and identify opportunities to improve model quality, reliability, and performance.

Interview Process

The hiring process consists of an initial AI screening, followed by a client interview, and concludes with the offer stage.