Generative Ai Engineer • Mid-Level

Who you are

You have 2-3 years of experience in the tech field, with a strong understanding of orchestrating LLMs and the GenAI ecosystem. You are proficient in Python and have hands-on experience with frameworks like FastAPI and LangChain, as well as cloud services such as Vertex AI. Your expertise includes architecting multi-LLM systems with advanced RAG, fine-tuning NLP models, and managing complex cloud infrastructures with a focus on FinOps.

You thrive in an environment that encourages experimentation and rapid iteration, and you are comfortable documenting your findings and sharing knowledge with your peers. You are passionate about leveraging AI to create real value and are eager to contribute to innovative projects that push the boundaries of technology.

What you'll do

In this role, you will be responsible for building unified GenAI APIs that handle text, image, video, and multimodal inputs on Google Cloud Platform (GCP). You will develop chatbots that utilize contextual RAG and hyper-personalized recommendations, integrating Vertex AI and multi-cloud services to enhance user experiences. You will also design digital twins to model complex ecosystems and optimize NLP pipelines for efficiency and effectiveness.

You will collaborate closely with your team, which includes technical leads who also code on client projects, ensuring that you are not only mentoring others but also continuously learning from your peers. You will have the opportunity to shape your career trajectory, whether that leads you to become an Engineering Manager, Technical Lead, or a Trainer. Your contributions will directly impact the success of our clients and the innovative solutions we provide.

What we offer

At SFEIR, we foster a culture that values your voice in technical decisions and encourages a digital-native, agile, and entrepreneurial mindset. You will have access to premium learning ecosystems, including partnerships with leading tech companies like GCP and AWS, and a budget for training and certifications. We believe in empowering our team members with the tools and knowledge they need to succeed, including early access to new technologies and opportunities for professional growth.