We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.
Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling.
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team.
Requirements:
3+ years of experience in applying AI to practical and comprehensive technology solutions.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more – a big advantage.
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems.
Excellent problem-solving and analytical skills.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval – an advantage.
Excellent interpersonal skills, team player with strong communication skills.
Academic degree in Computer Science or equivalent.
Certifications:
AWS Machine Learning Specialty (Strongly Preferred).
AWS Solutions Architect – Associate (Strongly Preferred).
AWS Solutions Architect – Professional (Preferred).
