AI Engineer (Generative AI)

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Requirements:

• Bachelor's degree in Computer Science, Data Science, AI, or related discipline.
• 3+ years of experience in building and deploying AI/ML models.
• 1+ year of experience developing products or functional prototypes using LLMs and RAG technologies.
• Expertise in generative AI frameworks such as GAN, GPT, and LangChain.
• Advanced knowledge of prompt engineering techniques for generative models.
• Proficiency in Python, Java, or equivalent.
• Deep understanding of machine learning algorithms.
• Strong written and verbal communication skills, with the ability to create design documents, technical reports, and presentations for varied audiences.

Responsibilities:

• Design, build, and deploy generative AI systems tailored to meet customer missions.
• Develop end-to-end AI solutions, including problem definition, data preparations, model development, performance evaluation, and deployment.
• Continuously optimize the performance of models and systems through iterative improvements.
• Collaborate with Program Managers, Subject Matter Experts, Architects, Product Designers, and Data Scientists to translate customer needs into scalable, mission-ready AI solutions.
• Conduct research and create prototypes to explore emerging AI technologies and innovative applications.
• Demonstrate excellence in Data Science and AI engineering, mentor juniors, and foster innovation.