AI engineer

Robotics Technologies LLC
Sunnyvale, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Google BigQuery
Cloud Engineering
Cloud Storage
Continuous Integration
Instant Messaging Technology
JSON
Python
Natural Language Processing
Named Entity Recognition
TensorFlow
Software Engineering
Systems Integration
Management of Software Versions
Google Cloud Platform
Chatbots
PyTorch
Large Language Models
Multi-Agent Systems
Generative AI
GIT
Kubernetes
Information Technology
HuggingFace
Google Cloud Functions
Machine Learning Operations
REST
Stream Processing
gRPC
Natural Language Understanding
Docker

Job description

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialog Flow to create intelligent, scalable chatbots that enhance digital customer engagement., * Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).

  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.

  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.

  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.

  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.

  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.

  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Requirements

Do you have experience in Texting/chatbox tools?, Do you have a Master's degree?, * 6+ years in software development (4+ in NLP/NLU for chat).

  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).

  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.

  • Proficiency in GCP services and cloud-native architectures.

  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git).

  • Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master's/PhD in Computer Science, AI/ML, or related field.

  • GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).

  • Experience with GenAI frameworks (PaLM, Gemini).

  • Integration 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.

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