AI Engineer (Agentic Workflows)

Protocase Inc.; Sydney; On-site; CAD 70,000 - 120,000; Full time

Job summary

Protocase Inc. in Sydney, Nova Scotia, is seeking an AI Engineer (Agentic Workflows) to design and build AI-enabled applications and automation on top of large language models (LLMs).

You will own the orchestration layer between model capabilities and business solutions, integrating tools, retrieval, and prompts to deliver reliable workflows.

The role emphasizes strong software engineering fundamentals, collaboration with product and operations, and in-office work in Sydney, NS.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 3+ years of professional software development experience.
• Practical experience with at least one agent orchestration framework or workflow automation platform.
• Experience building applications on top of LLM APIs, including API providers or self-hosted inference.

Responsibilities

• Design and build agentic workflows that plan, call tools, and chain multi-step actions.
• Integrate large language models into products and internal tools via APIs.
• Architect retrieval-augmented generation pipelines, including document ingestion, chunking, embedding selection, and vector database integration.
• Design and iterate on prompts, system instructions, and context-management strategies.
• Select and integrate orchestration tooling to coordinate multi-agent or multi-step workflows.
• Build evaluation harnesses and test suites to measure agent and workflow accuracy, reliability, and regression over time.
• Translate ambiguous, high-level business problems into scoped technical specifications and working prototypes.
• Collaborate with product, operations, and stakeholders to identify high-value automation opportunities.
• Monitor deployed AI workflows in production, using observability tooling to track latency, cost, and output quality.
• Stay current with the AI agent tooling ecosystem and recommend adoption of new frameworks or techniques.

Skills

Python

LLM APIs

Agent orchestration

RAG architecture

API integration

Containers/Cloud

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Vector databases

APIs

Job description

Position Title: AI Engineer (Agentic Workflows)
Department: Research & Development
Company: Protocase Inc.
Location: Sydney, Nova Scotia, Canada
Work Arrangement: In-Office
Employment Type: Full-Time
Shift: Dayshift
Level: Mid–Senior (Expected Experience: 3+ Years)

Full Transparency: We Work a Little Differently Around Here.

This isn't just another job where you punch in and punch out. We come to work every day because we strive to earn a living in a meaningful way. Too many people exist without finding joy or purpose in their work, and we believe that's just wrong. After all, we spend at least a third of our lives working—so why not create workplaces where people want to come to work in the morning and feel good when they leave at the end of the day?

At Protocase, your ideas don't just matter—they shape our future. We thrive on collaboration and innovation, where every voice is heard, valued, and makes a real impact. Does this sound like something you'd want to be a part of and help grow?

Protocase specializes in custom sheet metal enclosures, panels, and parts for engineers and innovators worldwide, built with unmatched speed and quality. We take the impossible and make it possible for some of the brightest minds on the planet.

Learn more about us: https://workdifferently.info/

About the Role

As an AI Engineer (Agentic Workflows) at Protocase, you will design and build applications, automations, and agentic systems on top of existing large language models (LLMs) and foundation models.

This role owns the layer between a model's raw capability and a working business solution: orchestration, retrieval, tool integration, prompt and context design, and evaluation. You'll think in terms of workflows and outcomes—identifying where an agentic or AI-assisted process can replace or augment manual work—and move from abstract problem statements to concrete, working pipelines.

This role does not require deep expertise in training or fine-tuning models from scratch. It requires strong software engineering fundamentals, systems thinking, and fluency in the current landscape of LLM APIs, agent frameworks, and retrieval tooling.

What You'll Do

• Design and build agentic workflows that plan, call tools, and chain multi-step actions to complete tasks with minimal human intervention.
• Integrate large language models into products and internal tools via APIs and open-source inference/serving frameworks.
• Architect retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategy, embedding selection, and vector database integration.
• Design and iterate on prompts, system instructions, and context-management strategies to reliably steer model behavior.
• Select and integrate appropriate orchestration tooling to coordinate multi-agent or multi-step workflows.
• Build evaluation harnesses and test suites to measure agent and workflow accuracy, reliability, and regression over time.
• Translate ambiguous, high-level business problems into scoped technical specifications and working prototypes.
• Collaborate with product, operations, and subject-matter stakeholders to identify high-value automation and agentic opportunities.
• Monitor deployed AI workflows in production, using observability tooling to track latency, cost, and output quality.
• Stay current with the fast-moving AI agent and tooling ecosystem and recommend adoption of new frameworks, models, or techniques where warranted.

What You Need (Required Qualifications)

Everything listed in this section is considered required to perform this role successfully.

Education

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Experience

• 3+ years of professional software development experience.
• Demonstrated experience building applications on top of LLM APIs, including API providers or self-hosted inference.
• Practical experience with at least one agent orchestration framework or workflow automation platform.

Technical Skills

• Solid understanding of RAG architecture: embeddings, vector search, chunking, and retrieval strategy.
• Strong general-purpose programming ability in Python and/or a modern backend language.
• Ability to reason abstractly about a business problem and independently design a technical approach to solve it.
• Comfortable working with APIs, containers, and cloud or on-premises infrastructure.

Certifications / Licences

• N/A

Other Requirements

• Ability to work in-office in Sydney, Nova Scotia.

What Would Be Considered an Asset (Nice-to-Have Qualifications)

The following qualifications are not required, but would be considered an asset.

• Experience with vector databases and hybrid search/reranking techniques.
• Familiarity with LLM inference/serving frameworks and gateway/proxy layers for model routing.
• Experience building or maintaining evaluation and observability pipelines for AI systems.
• Exposure to multi-agent system design patterns, including planner/executor, supervisor/worker, and tool-calling loops.
• Prior experience scoping and delivering AI features or automations in a production environment.
• Basic familiarity with model fine-tuning concepts, even without hands-on training experience.

What Success Looks Like

Within your first year, you will:

• Ship agentic workflows and AI-assisted tools reliably, with clear evaluation criteria and measurable impact on the processes they replace or augment.
• Independently take loosely defined problems from stakeholders and return working, well-scoped solutions.
• Build systems that degrade gracefully, are observable in production, and are maintainable by the wider engineering team.

Why Us?

At Protocase, we believe in recognizing and rewarding hard work and dedication.

Our starting annual total compensation package—including base salary and performance incentives—ranges from $69,775 to $120,000 CAD, depending on experience.

In addition, you can look forward to:

Training & Growth: Leadership training, skills development opportunities, regular coaching, and clear pathways for career growth.

Comprehensive Health Care Plan & Company RRSP: Medical, Dental, Life Insurance, Group Insurance, and a Company RRSP after six months of full-time employment.

Vacation: Start with two weeks of paid vacation, increasing to three weeks after three years and four weeks after five years.

Community Discounts: Access exclusive discounts at local businesses and restaurants.

Wellness Support: Enjoy a cost-shared YMCA membership, wellness initiatives, and access to a pension plan after three months of employment.

Social Events: Regular social events, including seasonal parties, monthly lunches, and team celebrations.

Lifestyle of Cape Breton, Nova Scotia: Live in a community with quick commutes, affordable homes on generous plots of land, beautiful scenery, and friendly people—a lifestyle that marries nature with a vibrant culture.