Job Description
We are seeking an experienced Cloud AI Engineer to design develop and deploy cutting-edge artificial intelligence and machine learning solutions utilizing the full suite of Google Cloud Platform services.
The ideal candidate will lead the end-to-end development cycle of AI applications from conceptualization and prototyping to deployment and optimization with a core focus on LLM-driven solutions.
- Architect and implement highly performant and scalable AI services effectively integrating with GCP's comprehensive AI / ML ecosystem.
- Collaborate closely with product managers data scientists and MLOps engineers to translate complex business requirements into tangible AI-powered features.
- Continuously research and apply the latest advancements in LLM technology prompt engineering and AI frameworks to enhance application capabilities and performance.
Required Skills and Qualifications
The following skills and qualifications are required for this role :
Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications particularly those involving Large Language Models.Strong programming proficiency in Python with significant experience in developing web APIs using FastAPI.Demonstrable expertise with Google Cloud Platform specifically with services like Vertex AI Generative AI AI Platform Cloud Run / Functions and Cloud Storage.Proven experience in prompt engineering including advanced techniques like few-shot learning chain-of-thought prompting and instruction tuning.Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures.Hands-on experience with at least one major LLM orchestration framework e.g. LangChain LangGraph CrewAI.Solid understanding of software engineering principles including API design data structures algorithms and testing methodologies.Experience with version control systems Git and CI / CD pipelines.Benefits
The successful candidate will have the opportunity to work with a dynamic team and contribute to the development of innovative AI solutions.
Preferred Skills and Qualifications
The following skills and qualifications are preferred but not required :
Bachelor's or Master's degree in Computer Science.Good to have experience with MLOps practices for deploying monitoring and maintaining AI models in production.Understanding of distributed computing and data processing technologies.Contributions to open-source AI projects or a strong portfolio showcasing relevant AI / LLM applications.Excellent analytical and problem-solving skills with a keen attention to detail.Strong communication and interpersonal skills with the ability to explain complex technical concepts to non-technical stakeholders.