Remote Google Cloud AI & Data Science Engineer (Dialogflow, Vertex AI, & Multimodal AI)

Description:

• Bolsterup is a leading Contech SaaS company specializing in capturing detailed information around projects, professionals, and products.
• The company is developing multimodal AI agents tailored for customers, leveraging Google’s Vertex AI and Dialogflow CX.
• The goal is to build AI-powered conversational agents that integrate seamlessly with customer data while maintaining data isolation.
• The position is for a Google Cloud AI & Data Science Engineer with expertise in Google Dialogflow CX, Vertex AI, and Google AI Agent Systems.
• The ideal candidate will be responsible for designing, developing, and optimizing intelligent AI-driven virtual assistants.
• Responsibilities include analyzing large unstructured datasets, training custom AI models, and deploying multimodal AI solutions to enhance customer engagement and operational efficiency.
• The role involves building production-ready AI services, including setting up infrastructure resources, API gateways, databases, and job batching systems to support scalable and efficient AI solutions.

Requirements:

• Must have 3+ years of hands-on experience with Dialogflow CX, including complex conversation flows, fulfillment, and webhook integrations.
• Strong expertise in Vertex AI, including model training, fine-tuning, LLMs, embedding techniques, and API usage.
• Experience in data science, statistical modeling, and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is required.
• Solid experience with Google Cloud Platform (GCP) services such as Cloud Functions, Cloud Run, Pub/Sub, and BigQuery is necessary.
• Experience designing production-ready AI services, including API gateways, databases, job batching, and cloud-based workflows is essential.
• Proficiency in Python or Node.js for AI integration, data processing, and backend development is required.
• Expertise in handling large unstructured datasets, including natural language processing (NLP), computer vision, and deep learning is necessary.
• Understanding of AI ethics, bias reduction, and responsible AI deployment is required.
• Experience working with RESTful APIs, GraphQL, and third-party AI integrations is necessary.
• Knowledge of multimodal AI (text, speech, image, and video processing) within Google AI systems is required.
• Strong problem-solving skills, with the ability to optimize AI models for performance and scalability is essential.
• Nice-to-have qualifications include experience with AutoML and custom training pipelines in Vertex AI, exposure to serverless and event-driven architectures on Google Cloud and AWS, and prior experience working with contact center AI solutions.

Benefits:

• Competitive salary with potential for equity in a startup set for immense growth is offered.
• Flexibility with work arrangements, including fully remote or hybrid options, is provided.
• Opportunities for professional and personal development in a diverse and dynamic environment are available.
• A vibrant and inclusive work culture that values new ideas and individual contributions is promoted.
• Exposure to the fast-growing SaaS and construction industries, with opportunities to make a significant impact, is part of the benefits.