AI Engineer

🛠 Responsibilities

· Develop and execute a comprehensive AI roadmap that aligns with client’s strategic business goals.

· Lead the technical design, development, testing, deployment, documentation, and maintenance of end-to-end AI features.

· Innovate in data management, strategically using embeddings to improve the relevancy of vector search.

· Collaborate with marketing, product, and business teams to integrate AI technologies across applications.

· Stay abreast of the latest AI trends, including advanced prompting techniques, AI agent construction, and in-context learning workflows.

· Contribute groundbreaking ideas for future AI initiatives and technology integration.

· Foster a culture of technical excellence, agility, and innovation within the team, contributing to strategic planning and the overall technological direction of client.

🙌 Qualifications

· Ph.D. in Computer Science, AI/ML, or related fields, with a focus on deep learning, neural networks, and generative AI.

· At least 5-7 years of experience in AI/ML, with specific expertise in developing, fine-tuning, and optimizing large language models and transformer-based architectures.

· Profound knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and in-context learning workflows, including data preprocessing, embedding, prompt construction, and execution.

· Demonstrated experience with API integration and the development of AI agents, showcasing the ability to test and design AI performance and reliability measures.

· Strong programming skills in Python, JavaScript, or similar languages, with a thorough understanding of software engineering best practices.

· Exceptional communication skills, capable of conveying complex AI concepts to both technical and non-technical stakeholders.