B2B | hybrid (6-8 times per month)
Are you passionate about artificial intelligence and ready to turn cutting-edge research into real-world applications? Join our dynamic AI team as a Software Engineer, where youll help build powerful, responsible, and scalable solutions using Large Language Models and the latest in machine learning.
Were looking for someone who thrives on innovation, understands the landscape of LLMs, and enjoys developing systems that combine deep technical skill with business impact. Youll be working at the intersection of AI and real-world problem-solvingdesigning prompts, fine-tuning models, and deploying intelligent tools that make a difference.
This is your chance to work on high-impact AI systems in a team that values creativity, ownership, and continuous learning. If you''re ready to bring intelligent solutions to lifeapply today!
What You Bring:
B2B | hybrid (6-8 times per month)
Are you passionate about artificial intelligence and ready to turn cutting-edge research into real-world applications? Join our dynamic AI team as a Software Engineer, where youll help build powerful, responsible, and scalable solutions using Large Language Models and the latest in machine learning.
Were looking for someone who thrives on innovation, understands the landscape of LLMs, and enjoys developing systems that combine deep technical skill with business impact. Youll be working at the intersection of AI and real-world problem-solvingdesigning prompts, fine-tuning models, and deploying intelligent tools that make a difference.
This is your chance to work on high-impact AI systems in a team that values creativity, ownership, and continuous learning. If you''re ready to bring intelligent solutions to lifeapply today!
,[Design and test effective prompts for LLMs across diverse use cases, Fine-tune large-scale pre-trained models using domain-specific data, Build and integrate Retrieval-Augmented Generation (RAG) pipelines, Work with vector databases and optimize NLP systems for speed and accuracy, Collaborate with cross-functional teams to align AI development with business goals, Ensure fairness, transparency, and accountability in AI models and workflows, Develop and maintain code using Python, SQL, GitHub, and CI/CD tools, Deploy AI models using cloud platforms like Azure or GCP, Communicate technical concepts clearly to both tech and non-tech stakeholders] Requirements: Machine learning, Deep learning, NLP, Python, SQL, Cloud, Azure, GCP, AI