Position Title: AI Engineer (Agentic Workflows)
Department: Research & Development
Company: Protocase Inc.
Location: Wilmington, NC, USA
Work Arrangement: In-Office
Employment Type: Full-Time
Shift: Dayshift
Level: Mid-Senior (Expected Experience: 3+ Years)
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
Other Requirements
- Ability to work in-office in Wilmington, North Carolina.
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.
Our starting annual total compensation package-including base salary and performance incentives-ranges from $115,000-$160,000 USD, depending on experience.
In addition, you can look forward to:
Training & Growth: Technical training, leadership development, and opportunities to grow with our Wilmington operation.
Comprehensive Health Care: Medical, Dental, Life Insurance, and Group Insurance following the applicable eligibility period.
Vacation: Start with two weeks of paid vacation, increasing to three weeks after three years and four weeks after five years.
Wellness Support: Participate in wellness initiatives and available wellness benefits.
Social Events: Join a growing team that values collaboration and celebrates success.
🌊 Wilmington Lifestyle: Enjoy coastal living, beaches, a vibrant downtown, and a growing innovation community.
