Job Title: AI Engineer
Duration: Permanent
Location: Remote
Job Description:
We are seeking a highly skilled and motivated AI Engineer to join our innovative team. As an AI Engineer, your primary focus will be on developing, fine-tuning, and deploying advanced AI models, particularly Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. You will play a critical role in enhancing our AI capabilities by customizing models for specific domains, hosting and optimizing them in production environments, and driving innovation across various business areas.
Job Responsibilities:
- Fine-Tune and Customize Large Language Models (LLMs): Leverage your expertise in AI to fine-tune and customize LLMs for specific applications, including text generation, sentiment analysis, and domain-specific tasks. Develop and implement advanced prompting techniques to optimize LLM performance and ensure accurate, context-aware outputs. Conduct experiments to refine model performance, adjusting hyperparameters and data inputs to achieve the best possible results.
- Develop and Implement Retrieval-Augmented Generation (RAG) Models: Design and develop RAG models that integrate vector databases for efficient information retrieval, enabling the creation of domain-specific chatbots and interactive AI solutions. Craft effective embedding, chunking, and indexing strategies to optimize RAG model performance and relevance.
- AI Model Hosting and Deployment: Host, deploy, and scale AI models in production environments, ensuring they are stable, reliable, and capable of handling real-world demands. Utilize cloud platforms such as Azure AI Studio, OpenAI, and Snowflake Cortex to manage and monitor AI models in live settings.
- Snowflake Snowpark Integration: Collaborate with data engineering teams to leverage Snowflake Snowpark for building and deploying data-intensive AI models. Implement data pipelines and machine learning workflows within Snowflake, optimizing the integration of large-scale data with AI models for enhanced performance and insights.
- Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and engineers to identify key areas where AI can drive significant business value. Translate complex AI concepts into actionable solutions that align with organizational goals.
- Continuously Improve AI Solutions: Stay up-to-date with the latest advancements in AI technology, including new techniques in deep learning, natural language processing, and computer vision. Implement improvements to existing AI solutions based on performance monitoring and feedback from stakeholders.
- Mentor and Guide Junior AI Engineers: Provide technical mentorship to junior team members, fostering a culture of learning and innovation within the AI engineering team. Participate in code reviews and ensure adherence to high-quality coding standards and best practices.
- Ensure Data Privacy and Security: Adhere to best practices in data privacy and security when working with sensitive data, ensuring all AI solutions comply with relevant regulations.
Requirements:
- Minimum of 4 years of professional experience in AI engineering or related roles.
- Extensive experience in fine-tuning and customizing LLMs, particularly in the context of generative AI and text-based applications.
- Proven track record of developing and implementing RAG models, with a focus on optimizing vector databases and embedding strategies.
- Hands-on experience with Snowflake Snowpark, including building and deploying AI models within Snowflake’s data platform.
- Proficiency in using AI frameworks such as TensorFlow, PyTorch, LangChain, and tools like Azure AI Studio, Snowflake Cortex, and OpenAI.
Skills:
- Strong analytical and problem-solving skills with a deep understanding of AI concepts, including deep learning, natural language processing, and reinforcement learning.
- Excellent communication skills, capable of articulating complex AI concepts to both technical and non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects simultaneously.
- Detail-oriented and committed to delivering high-quality, scalable AI solutions.
Education:
- Bachelor’s or master’s degree in Computer Science, Data Science, or a related field is preferred.
- Relevant certifications in AI or related areas are a plus.
Join our team as an AI Engineer and be at the forefront of developing cutting-edge AI solutions that drive business innovation. This is an exciting opportunity to work with advanced technologies, collaborate with a dynamic team, and make a significant impact in the world of AI.
