AI engineer

About the Role

NexHire Demo is seeking a passionate and skilled AI Engineer to join our innovative Engineering team. In this remote role, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence solutions that drive our products forward. You will work with the latest AI tools, including large language models (LLMs) and frameworks like LangChain, to build intelligent systems that solve complex problems and deliver exceptional value to our users. We are looking for individuals who are eager to make an impact, thrive in a collaborative environment, and are committed to pushing the boundaries of AI technology.

Key Responsibilities

• Design, develop, and implement robust AI/ML models and algorithms from concept to deployment.
• Work extensively with large language models (LLMs) and leverage frameworks like LangChain for application development.
• Integrate AI solutions seamlessly into existing product pipelines and develop new AI-powered features.
• Optimize AI models for performance, scalability, and efficiency across various platforms.
• Collaborate closely with product managers, data scientists, and other engineers to define requirements and deliver solutions.
• Conduct thorough data preprocessing, feature engineering, and model evaluation to ensure high-quality outcomes.
• Stay abreast of the latest advancements in AI, machine learning, and natural language processing.
• Contribute to the continuous improvement of our AI infrastructure and MLOps practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• 3+ years of professional experience in AI/ML engineering, or exceptional project-based experience for freshers with a strong portfolio.
• Proficiency in Python programming and extensive experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
• Demonstrable experience with AI tools and frameworks, particularly LangChain for building LLM applications.
• Solid understanding of large language models (LLMs), their architectures, and application development.
• Strong problem-solving abilities and analytical skills, with an aptitude for complex technical challenges.
• Excellent communication and collaboration skills, with the ability to articulate technical concepts clearly.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing AI services.
• Familiarity with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• A strong portfolio of personal or professional AI/ML projects showcasing practical application of skills.

What We Offer

• Opportunity to work on cutting-edge AI and LLM projects that will shape the future of our products.
• A fully remote work environment, offering flexibility and work-life balance.
• A collaborative, innovative, and supportive engineering culture focused on growth and impact.
• Continuous learning and development opportunities, including access to latest tools and training.
• Competitive compensation package and benefits.
• Direct impact on product development and strategic direction within an agile SMB.