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GenAI Tester
- Toronto, ON, Canada
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- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Iris's client, one of the Top 5 Bank in Canada is looking to hire an GenAI Tester for a long-term contract opportunity.
Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.
Position: GenAI Tester
Location: Toronto, ON (Hybrid - 4 Day onsite/week)
Duration: Long-Term Open-Ended Contract
Must have:
GenAI test specialist to bring deep expertise in testing LLM-powered features. You'll own how we evaluate AI quality, working within the existing test frameworks and CI/CD pipelines rather than building them from scratch.
What You'll Do
- Define the GenAI testing strategy and quality metrics (accuracy, groundedness, hallucination, safety).
- Agentic AI Framework, swarm testing, Agent orchestration – Claude/Devin.
- Build LLM evaluation suites, including LLM-as-a-judge, and plug them into our existing automation framework.
- Create and maintain golden datasets and adversarial prompt sets.
- Test RAG pipelines for retrieval quality, context relevance, and answer faithfulness.
- Validate AI agents and tool-calling flows across multi-step scenarios.
- Lead red-teaming: prompt injection, jailbreaks, bias, toxicity, PII leakage.
- Track model and prompt regressions across releases and share findings with ML and product teams.
- Upskill the wider QA team on GenAI testing practices.
What You Bring
- 3+ years in software testing or QA automation, with working Python skills.
- Hands-on experience testing LLM or GenAI applications.
- Strong grasp of LLM concepts: prompts, embeddings, context windows, temperature, RAG.
- Experience with eval tools such as DeepEval, Ragas, Promptfoo, LangSmith, or TruLens.
- Comfort with API testing and working inside an existing CI/CD setup.
Nice to Have
- LangChain / LlamaIndex and vector database experience
- Knowledge of OWASP Top 10 for LLM Applications or AI red-teaming
- ISTQB CT-AI or similar certification
About Iris Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.
More about this job
Responsibilities
Define GenAI testing strategy and quality metrics, build LLM evaluation suites, and integrate them into existing automation and CI/CD frameworks. Test RAG pipelines, AI agents, and tool-calling scenarios; lead red-teaming and regression tracking; and help upskill the QA team.
Requirements
Requires at least three years of software testing or QA automation experience, working Python skills, and hands-on experience testing LLM or GenAI applications. Candidates should understand core LLM concepts and have experience with evaluation tools, API testing, and existing CI/CD setups; LangChain, vector databases, AI security knowledge, and relevant certification are advantageous.
Skills
- GenAI Testing
- Software Testing
- QA Automation
- Python
- LLM Evaluation
- Prompt Engineering
- RAG Testing
- API Testing
- CI/CD
- Red Teaming
- Agentic AI
- Test Strategy
- Golden Dataset Creation
- Adversarial Testing
- LangChain
- Vector Databases
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Finance & Accounting
Keywords
- GenAI
- LLM
- Python
- QA Automation
- Software Testing
- LLM Evaluation
- DeepEval
- Ragas
- Promptfoo
- LangSmith
- TruLens
- RAG
- Embeddings
- Prompt Engineering
- API Testing
- CI/CD
- Agentic AI
- Agent Orchestration
- Claude
- Devin
- Golden Datasets
- Adversarial Prompts
- Red Teaming
- Prompt Injection
- Jailbreaks
- OWASP Top 10 for LLM Applications
- LangChain
- LlamaIndex
- Vector Databases
- ISTQB CT-AI