Role: Senior Prompt Engineer
Location:Any Rogers Client Office Brampton, Ontario (near Toronto) | Calgary, Alberta, Canada (5 days onsite)
Rate : CAD $60-65/hr on T2 (W2 of Canada).
Fulltime ; W2 candidate only .
Duration: 12+ Months
Position Overview
Seeking an enterprise-grade Prompt Engineer with 5+ years in Conversational AI/NLP and 2+ years of hands-on Prompt Engineering to architect, optimize, and govern AI-powered conversational workflows for Contact Center platforms. This 100% on-site role (5 days/week) focuses on designing customer self-service virtual agents, agent-assist solutions, and enterprise knowledge retrieval using Google CCAI/GECX, Dialogflow CX, Gemini, Claude, and GPT-4. The engineer will establish reusable prompt frameworks, define RAG grounding strategies, reduce hallucinations, and build automated LLM evaluation pipelines (Python, JSON, APIs).
Key Responsibilities
* Prompt Engineering & Framework Design: Design, develop, test, and optimize prompts, guardrails, and system instructions for virtual agents, agent-assist tools, and customer self-service applications across Google CCAI, Dialogflow CX, Gemini, Claude, and OpenAI platforms.
* LLM Evaluation & Model Comparison: Define prompt testing methodologies, benchmarking metrics, and evaluation frameworks (accuracy, hallucination reduction, response consistency, token efficiency, latency, cost optimization) across multi-LLM environments.
* RAG & Knowledge Grounding: Support Retrieval-Augmented Generation (RAG) architectures, vector database integrations, and enterprise knowledge grounding strategies to ensure hallucination-free, context-aware responses.
* Governance & Responsible AI: Establish enterprise prompt governance standards, safety guardrails, PII redaction patterns, and compliance protocols for production AI deployments.
* Agile Sourcing & Production Integration: Collaborate with Product Owners, Conversational Designers, Data Scientists, and Business SMEs to translate business requirements into prompt libraries, reusable interaction patterns, and API payloads (Python/JSON).
* Continuous Analytics & Optimization: Analyze conversational logs, user feedback, and contact center metrics to iteratively refine prompts, improve intent matching, and boost Customer Satisfaction (CSAT).
Required Skillset
* Experience: 5+ years of professional experience in Conversational AI, NLP, or AI Engineering, with at least 2+ years of dedicated, hands-on Prompt Engineering on enterprise LLM platforms.
* Enterprise AI & Contact Center Stack: Direct experience with Google CCAI/GECX, Dialogflow CX, Gemini, Anthropic Claude, OpenAI GPT models, or similar Generative AI platforms.
* Technical & Scripting Proficiency: Hands-on command of Python, JavaScript, REST APIs, JSON formatting, Vector Databases, and AI integration pipelines.
* Prompt Design & Grounding: Proven mastery in chain-of-thought prompting, few-shot learning, system instructions, RAG, and LLM evaluation techniques.
* On-site Mandate: Available to work 100% on-site (5 days/week) at any USA Infosys or Rogers office location.
Preferred Qualifications
* Exposure to Agentic AI architectures, multi-agent frameworks (LangChain, Vertex AI, Azure OpenAI, Amazon Bedrock), and vector search integrations.
* Telecommunications domain experience or contact center modernization background (NOC/Telecom customer operations).
