ZipRecruiter

Log In

1

Prompt Engineering Jobs in British Columbia (NOW HIRING)

iCOUNTER

Backend Developer - AI Products

Burnaby, BC · On-site

Familiarity with RAG, embeddings, and prompt engineering * Experience with containerization and orchestration (Docker, Kubernetes) * Knowledge of message queues and event-driven architecture

iCounter

Backend Developer - AI Products

Burnaby, BC · Hybrid

Familiarity with RAG, embeddings, and prompt engineering * Experience with containerization and orchestration (Docker, Kubernetes) * Knowledge of message queues and event-driven architecture

Tigera

ML Engineer

Vancouver, BC

CA$160K - CA$180K/yr

Hands-on experience using LLMs for applied tasks beyond chatbots - function calling, retrieval-augmented generation, prompt engineering, fine-tuning, evaluation * Python and the standard ML ecosystem ...

New

Finning

Senior Full Stack Developer

Surrey, BC · Hybrid

Utilize generative AI, code assistants, agentic workflows, and prompt engineering techniques to accelerate development lifecycle activities * Rapidly prototype and validate business concepts through ...

Diligent Corporation

Software Engineer II

Vancouver, BC · On-site

Uses AI tools to boost productivity; understands prompt engineering basics and evaluates AI outputs critically. * Ownership mindset: Takes responsibility for what they build - follows through from ...

Creator, Inc.

Backend Engineer

Vancouver, BC

A conceptual understanding of modern AI systems, including Model Context Protocol (MCP), prompt engineering, or agentic frameworks. * LLM Tooling:Hands-on experience or familiarity with building ...

Creator

Backend Engineer

Vancouver, BC · On-site

A conceptual understanding of modern AI systems, including Model Context Protocol (MCP), prompt engineering, or agentic frameworks. * LLM Tooling: Hands-on experience or familiarity with building ...

next page

Showing results 1-20

All JobsPrompt Engineering JobsPrompt Engineering Jobs in British Columbia

Prompt Engineering information

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are popular job titles related to Prompt Engineering jobs in British Columbia?

For Prompt Engineering jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in British Columbia look for?

The top searched job categories for Prompt Engineering jobs in British Columbia are:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in British Columbia as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Engineer, Agentic Voice (TTS)

Dialpad

Vancouver, BC

Full-time

Re-posted 25 days ago

Job description

Your Role
As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice (TTS) layer for our next-generation AI agents. You'll work squarely within our Speech Team, a high-impact R&D and engineering group focused on speech recognition, enhancement, and synthesis; bridging core speech science and product engineering so our agents sound human, context-aware, and trustworthy.

You'll build the systems that render voice: integrating and optimizing TTS engines, engineering the persona and parameter machinery, and exposing voice attributes to our customer-facing UI. You'll partner closely with our Voice Experience Designer, who authors and owns the persona standards and quality bar that you implement - you own the platform that makes their designs real, fast, and consistent at scale.

This position reports to our Sr. Manager, AI Speech, is based at our Vancouver hub, and operates on a hybrid schedule.

What you'll do

  • TTS backend implementation: Own the integration and optimization of multiple TTS vendor APIs behind a unified interface with failover, and lead research and prototyping of open-source and in-house TTS architectures.
  • Latency & pipeline engineering: Minimize time-to-first-audio and end-to-end latency across the ASR LLM TTS pipeline while maintaining or optimizing voice quality, in partnership with ASR and Audio AI engineers.
  • Linguistic optimization: Apply your knowledge of phonetics and sociolinguistics to format TTS input for maximum naturalness - SSML tags, punctuation-driven prosody, and text normalization for names, numbers, dates, and currency.
  • Persona system & parameter exposure: Build the persona parameterization system and architect the logic that exposes voice attributes to the product UI, implementing the house standards defined by Agent Experience Design.
  • Prompt engineering as code: Manage structured LLM and TTS prompt templates with versioning and a rigorous evaluation harness.
  • Conversational turn design: Engineer context- and state-aware "thinking" utterances that maintain caller trust while tool calls and model steps run under the hood.

Skills you'll bring

  • Technical foundation: Strong Python and hands-on experience with deep learning frameworks (e.g. PyTorch).
  • Speech expertise: 3+ years in Speech Synthesis (TTS) or applied speech ML, including hands-on work with frameworks like NVIDIA NeMo, ESPnet, or Coqui, and with major TTS APIs such as ElevenLabs, Rime, and Cartesia.
  • Linguistic background: Degree in Computational Linguistics, Computer Science, or AI/ML, with a strong understanding of phonetics, prosody, and syntax you can apply in code (G2P, pronunciation dictionaries, text normalization).
  • Backend engineering: Experience building production-grade APIs and integrating multi-vendor services in a cloud environment (GCP preferred).
  • Evaluation mindset: Fluency with speech-quality metrics (MOS, intelligibility, latency) and the ability to design and execute rigorous A/B tests for voice personas.
  • Prompt engineering: Proven experience crafting, versioning, and evaluating LLM prompts (system, few-shot) and structured templates.

This is a builder role in a science/infrastructure org. If your strength is conversation design or prompt-tuning without production engineering, our Lead Voice Experience (VX) Designer
role is likely the better fit.

Apply