AI Solutions Engineer (Python + Cloud)
Role details
Job location
Tech stack
Job description
We are searching for an AI + Python Engineer to design and deploy advanced generative AI solutions across text, image, and video modalities. In this role, you'll work at the intersection of engineering and AI product development, building scalable pipelines, integrating state-of-the-art models, and optimizing performance and cost in production environments. You will collaborate closely with product, engineering, and design teams to bring creative and technically complex ideas to life. This position offers the opportunity to work with cutting-edge tools-including LLMs, diffusion models, AWS Bedrock, and Anthropic Claude-while contributing to high-impact projects in the technology and education sectors. If you enjoy solving modern AI challenges, deploying production-ready models, and experimenting with the latest advancements in multimodal generation, this is an ideal role with strong growth potential. Responsibilities
Design and develop pipelines for multimodal AI generation (text, audio, image, video). Integrate generative AI models into production systems using AWS services. Collaborate with product and design teams to translate requirements into functional features. Monitor model performance, quality, and cost efficiency in production. Maintain continuous improvements and update models as new capabilities emerge.
Requirements
Hands-on experience with generative AI models (LLMs, Stable Diffusion, etc.). Strong proficiency in Python, including PyTorch/TensorFlow and API integrations. Experience with AWS (Bedrock, SageMaker, Lambda, S3). Familiarity working with Anthropic Claude, GPT, or similar LLMs. Ability to work independently and deliver production-ready code.
Nice to have
Experience building multimodal (image/video) generation pipelines Exposure to ML optimization, fine-tuning, or cost-reduction techniques