AI engineer

Robotics Technologies is seeking an AI Engineer to design and deliver conversational AI solutions on Google Cloud for digital customer engagement.

Responsibilities

• Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI, including Vertex AI Agent Engine and Google Agent Development Kit (ADK)
• Build, customize, and optimize conversational flows with Dialogflow CX/ES, covering intent detection, context management, slot filling, and rich fulfillment
• Apply state-of-the-art NLP, LLM, and GenAI models on Vertex AI to improve chatbot capabilities (complex intent handling, summarization, entity extraction, and response generation)
• Develop and maintain cloud-native chat Virtual Agent systems on GCP using CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time processing, analytics, and reporting
• Train, fine-tune, and deploy custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to increase agent intelligence
• Apply MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD
• Implement REST APIs, gRPC, and JSON-based interfaces to support integrations across systems

Requirements

• 6+ years in software development, with 4+ years in NLP/NLU for chat
• Advanced Python skills; experience with ML/NLP libraries including Hugging Face, TensorFlow, and PyTorch
• Proven experience building conversational agents with Vertex AI and Dialogflow CX/ES
• Proficiency in GCP services and cloud-native architectures
• Solid MLOps foundation including Docker, Kubernetes, CI/CD, and Git
• Agent Assist experience is a plus

Technologies

• Google Cloud, Vertex AI, CCAI, Dialogflow, Dialogflow CX/ES
• Vertex AI Agent Engine, Google Agent Development Kit (ADK)
• NLP, LLM, GenAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery
• Retrieval Augmented Generation (RAG), transformer models, Vertex AI Pipelines
• Docker, Kubernetes, CI/CD
• REST APIs, gRPC, JSON, Python, Hugging Face, TensorFlow, PyTorch
• Agent Assist

Job Details

• Job ID: J52944
• Location: Sunnyvale, CA (onsite)
• Duration: 9 Months + Extension
• Hourly rate: Depending on Experience (DOE)
• Employment type: W-2, 1099, C2C
• Client: To Be Discussed Later
• Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Preferred Qualifications

• Master’s/PhD in Computer Science, AI/ML, or related field
• GCP certifications (example: Google Cloud Certified Professional ML Engineer)
• Experience with GenAI frameworks (example: PaLM, Gemini)
• Experience integrating with CRM, knowledge bases, and live agent systems
• Knowledge of security and compliance in chat AI

Soft Skills

• Excellent communication and collaboration
• Strong ownership and end-to-end project delivery
• Leadership in cross-functional environments
• Team leading and management