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Key skills for this role
The Applied AI Engineer will help design, develop, and deploy generative and agent-based AI solutions throughout the organization. Work centers on real-world production use cases, focusing on practical AI applications such as agentic workflows, retrieval-augmented generation (RAG), prompt engineering, and AI-driven automation. The role places a strong emphasis on moving projects from experimentation to reliable, well-governed production environments. The AI Engineer is a hands-on, builder-focused role and collaborates closely with software engineers, data engineers, product owners, and business stakeholders to integrate AI capabilities into operational workflows across Tolmar.
Build and enhance AI‑powered applications and agents that support real business workflows (e.g., document analysis, task delegation, knowledge retrieval, decision support).
Implement agentic patterns such as tool‑calling, multi‑step reasoning, and workflow orchestration in collaboration with senior engineers.
Develop and manage prompt strategies, prompt templates, and prompt evaluation techniques for reliability and reuse.
Implement retrieval‑augmented generation (RAG) using enterprise data sources and vector databases.
Help transition AI solutions from prototype to production, focusing on reliability, observability, and cost awareness.
Package AI capabilities as APIs, services, or integrations consumable by other applications.
Contribute to CI/CD pipelines and deployment patterns for AI applications (model updates, prompt changes, configuration).
Monitor AI solutions in production and assist with troubleshooting performance, accuracy, or usability issues.
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Work with data engineers to integrate AI solutions with governed data sources (e.g., Fabric, Dataverse, SQL).
Collaborate with platform teams on Azure‑based AI services, Copilot integrations, and Power Platform solutions.
Support integration of AI into existing enterprise systems (ERP, content repositories, workflow tools).
Participate in model and solution evaluation, including accuracy, latency, cost, and usability.
Support testing and validation activities aligned with internal AI governance standards.
Stay current with evolving AI tools, frameworks, and best practices and contribute ideas back to the team.
Contribute to internal documentation, reusable patterns, and AI communities of practice.
Perform other related duties as assigned.
This position is expected to operate within the framework of Tolmar’s Core Values:
Center on People: We commit to support the well‑being of our patients and treat our employees and those we serve as valued partners. By placing people at the heart of our actions, we actively engage, invigorate, acquire knowledge, and grow together with an enterprise‑wide mindset that lifts the whole organization.
Are Proactive & Agile: We embody a culture of engagement and action. With a hands-on approach, we fearlessly adapt to change. We anticipate, respond swiftly and efficiently to ignite a spirit that propels us towards extraordinary outcomes.
Act Ethically: We are committed to consistently conducting our business in an ethical, compliant, and socially aware manner, in line with our purpose of positively impacting lives. We actively cultivate diversity, equity, inclusion & sustainability in our workplace.
Constantly Improve: We are committed to a proactive, collaborative effort to enhance our products, systems, processes, and services by reducing waste, increasing efficiency, and improving quality. We strive to be innovative, embracing calculated risk‑taking that drives better ways of working.
Are Accountable: We think, act, and communicate with honesty, transparency, and clarity in alignment with our core values. We don't compromise our values for near term gain. We take accountability & ownership of our work, actions, successes, and setbacks. We strive to deliver our best as we shape the future.
Education & Experience
Bachelor’s degree bachelor’s business administration, science, technology, engineering, and mathematics (STEM); computer science; artificial intelligence; data science; information systems or related field; or equivalent work experience.
Six plus years of IT experience, professional experience or demonstrated hands-on project work in software engineering, applied AI, Data engineering or intelligent automation.
Working Conditions
Working conditions are consistent with a normal office environment and/or remotely from home office.
Some travel might be required.
Specialty pharmaceutical manufacturer developing, producing, and commercializing long-acting injectable treatments for patients and healthcare providers.
Visit company websiteJobs and hiring trendsUSD 170000-190000 yearly / year
Full-time
Senior · 6+ years experience
Hybrid
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