Remote Software engineering Jobs · NLP

• Support the development and improvement of engineering infrastructure for a novel agentic AI system.
• Contribute to the development of tools and frameworks to assess and mitigate AI-related risks in agentic AI.
• Support technical experiments that conduct evaluations of LLMs and AI agents with engineering infrastructure.

• Design, develop, and implement novel machine learning models and algorithms tailored to specific challenges.
• Engineer and deploy ML models into production environments, ensuring they are robust and scalable.
• Develop and maintain MLOps infrastructure for model versioning, continuous integration/delivery, and automated monitoring.

Seeking a Senior AI Software Engineer to develop AI solutions enhancing citizen engagement with government services. Design and implement scalable AI/ML models and LLM-based workflows using frameworks. Develop core AI components for government service applications, ensuring accuracy and compliance.

• Design, develop, and maintain machine learning infrastructure, tooling, and models.
• Enable cross-functional teams to understand data lifecycles and ML patterns.
• Build internal platforms and services to integrate AI capabilities into customer-facing features.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.

Seeking a skilled Conversational AI Developer to work on IVR modernization, involving designing, developing, and integrating platforms like Google Dialogflow/Amazon Connect, collaborating with cross-functional teams for seamless transitions from legacy IVR systems to AI-powered solutions. Responsibilities include design and development of conversational experiences, backend services, and NLP/ML models.

As an AI Integration Engineer, you will integrate cutting-edge AI models like ChatGPT into existing features to enhance products' capabilities and deliver a better user experience, evaluating and selecting AI models and collaborating with the data science team to fine-tune AI model performance.

As a Machine Learning Engineer, you will play a crucial role in developing and maintaining discriminative and generative AI models. You will design, train/finetune, and evaluate information retrieval systems capable of handling both structured and unstructured databases. Leveraging historical context and diverse data, you will create innovative models to drive significant business impact.

We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to Design and implement ML solutions from ideation to production Fine-tune and integrate LLMs Deploy and monitor LLM-powered features at scale in real-world products Collaborate with engineers and product teams to build intelligent, user-facing features Write clean, scalable code and detailed technical documentation.

We’re looking to an AI engineer to join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. The AI Engineer will design and build AI prototypes through hands-on experimentation and testing.