Developer of Artificial Intelligence Solutions

Cloud AI Developer We're seeking a seasoned Cloud AI Developer to join our team and spearhead the design, development, and deployment of cutting-edge artificial intelligence and machine learning solutions using Google Cloud Platform services. Key Objectives: Drive end-to-end development of AI applications from conceptualization to deployment, focusing on LLM-driven solutions. Architect and implement high-performance AI services integrating with GCP's AI/ML ecosystem. Collaborate with product managers, data scientists, and MLOps engineers to translate business requirements into AI-powered features. Apply latest advancements in LLM technology and prompt engineering to enhance application capabilities. Responsibilities: Develop and deploy production-grade AI applications using Python and FastAPI, ensuring robust API design, security, and scalability. Design and implement end-to-end LLM pipelines for data ingestion, processing, model inference, and output generation. Utilize GCP services including Vertex AI, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery to build, train, and deploy LLMs and AI models. Expertly apply prompt engineering techniques to optimize LLM responses and reduce hallucinations. Implement embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation patterns. Work with advanced LLM orchestration frameworks like LangChain, LangGraph, and CrewAI to build sophisticated multi-agent systems and complex AI workflows. Integrate AI solutions with enterprise systems and databases for seamless data flow and interoperability. Participate in code reviews, establish best practices, and contribute to a culture of technical excellence. Stay updated on the latest GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches. Required Skills and Qualifications: At least two years of experience as an AI Engineer with a focus on building and deploying AI applications 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, Cloud Run/Functions, and Cloud Storage. Proven experience in prompt engineering, including few-shot learning and instruction tuning. Practical knowledge of embeddings and vector stores for semantic search and RAG architectures. Hands-on experience with at least one major LLM orchestration framework. 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. Preferred Skills and Qualifications: Bachelor's or Master's degree in Computer Science. Good to have: Experience with MLOps practices, understanding of distributed computing and data processing technologies, contributions to open-source AI projects, and excellent analytical and problem-solving skills.

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