AI Solutions Developer

Job Description

We are seeking a skilled Cloud AI Engineer to develop and deploy cutting-edge artificial intelligence and machine learning solutions using Google Cloud Platform (GCP) services.

The ideal candidate will design, develop and deploy AI applications from conceptualization to deployment, architecting and implementing highly performant and scalable AI services with GCP's comprehensive AI / ML ecosystem.

Responsibilities include developing production-grade AI applications using Python and FastAPI, designing and implementing end-to-end LLM pipelines, and utilizing Google Cloud Platform services such as Vertex AI, Cloud Functions, Cloud Run, Cloud Storage and BigQuery.

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• Developing end-to-end AI applications from conceptualization to deployment.
• Architecting and implementing highly performant and scalable AI services with GCP's comprehensive AI / ML ecosystem.
• Collaborating with product managers, data scientists and MLOps engineers to translate business requirements into AI-powered features.
• Staying up-to-date with the latest advancements in Large Language Model technology and applying them to enhance application capabilities.
• Developing production-grade AI applications using Python and FastAPI, ensuring robust API design, security and scalability.
• Designing and implementing end-to-end LLM pipelines, including data ingestion, processing, model inference and output generation.
• Utilizing Google Cloud Platform services such as Vertex AI, Cloud Functions, Cloud Run, Cloud Storage and BigQuery to build, train and deploy LLMs and AI models.
• Applying prompt engineering techniques to optimize LLM responses and reduce hallucinations.
• Implementing and managing embeddings and vector stores for efficient information retrieval.
• Working with advanced LLM orchestration frameworks such as LangChain and LangGraph to build multi-agent systems and complex AI workflows.
• Integrating AI solutions with enterprise systems and databases.
• Participating in code reviews and contributing to technical excellence.
• Staying updated with the latest GCP AI / ML services and broader AI / ML technologies.
• Two or more years of experience as an AI Engineer with a focus on building and deploying AI applications.
• Strong programming proficiency in Python and experience with web APIs using FastAPI.
• Demonstrable expertise with Google Cloud Platform services.
• Proven experience in prompt engineering and knowledge of embeddings and vector stores.
• Hands-on experience with LLM orchestration frameworks.
• Solid understanding of software engineering principles and experience with CI / CD pipelines.
• Bachelor's or Master's degree in Computer Science.
• Good to have experience with MLOps practices and contributions to open-source AI projects.

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\How to Apply : \

If you are a motivated and experienced AI Engineer looking for a new challenge, please submit your resume and cover letter to apply for this exciting opportunity.