AI engineer

Job Description

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->

Job Overview

Job ID: J52944

Posted Date: 01/21/2026

--> Specialized Area: other

--> Job Title: AI engineer

Location: Sunnyvale, CA

Duration: 9 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Domain Exposure: Retail

--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C Bench Recruiter: Blessy roy

-->

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About the Role

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.

Key Responsibilities:

· 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.

Required Qualifications:

· 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.

• Apply Now