Applied AI Engineer (Remote, Full-Time), PK [AS221] at smart-working-solutions

<div> <p><strong>About Smart Working</strong></p> <p>At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.</p> <p>Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.</p> <p><br>Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.</p> <p><br><strong>About the Role</strong></p> <p>We are hiring an Applied AI Engineer to design and build an AI-powered system that automates the generation of technical reports for insurance claims. This is a highly practical, product-focused role where success is defined by delivering a working, production-ready solution that integrates into real business workflows.</p> <p>The current process is manual and relies on engineers reviewing fragmented data across multiple sources, including documents, images, videos, and historical reports. The goal is to create an end-to-end AI solution that can process this unstructured data, retrieve relevant context, and generate accurate, structured outputs.</p> <p>You will work with LLM-based systems, such as retrieval-augmented generation (RAG) pipelines, to build scalable solutions that integrate with existing systems. This role requires a strong builder mindset, the ability to work with messy data, and the confidence to operate in an environment with evolving requirements.</p> <p>In addition to delivery, you will help guide the organisation in adopting AI, communicating clearly with stakeholders and shaping how AI solutions are implemented across the business.</p> </div> Responsibilities • Design and implement end-to-end AI solutions for document understanding and automated report generation. • Build and deploy LLM-based systems, including RAG pipelines, to retrieve and combine context from multiple data sources. • Work with unstructured and semi-structured data such as PDFs, documents, images, and historical records, transforming it into usable inputs for AI systems. • Rapidly prototype, test, and iterate on AI solutions to deliver measurable improvements. • Integrate AI outputs into existing systems via APIs, collaborating with backend teams working in C# and SQL Server environments. • Ensure solutions are scalable, reliable, and aligned with real-world business workflows. • Address performance, accuracy, and usability challenges in AI-generated outputs. • Operate within data privacy and security constraints, including handling sensitive information and exploring local model deployment where required. • Collaborate with internal teams to understand requirements and refine use cases. • Communicate technical concepts, trade-offs, and solution approaches clearly to non-technical stakeholders. • Contribute to shaping the organisation’s approach to AI adoption and best practices. Requirements • Proven experience building real-world AI applications using LLMs, particularly RAG or document-based AI systems. • Strong proficiency in Python for building data pipelines, AI workflows, and integrations. • Experience delivering end-to-end AI solutions, from concept to production-ready systems. • Hands-on experience working with unstructured data, including documents such as PDFs and mixed-format sources. • Demonstrated ability to rapidly prototype and iterate, moving quickly from idea to working solution. • Experience integrating AI systems into existing applications via APIs. • Experience working in environments with legacy systems and integrating with backend technologies. • Familiarity with cloud or hybrid environments (Azure, AWS, or similar) for deploying AI solutions. • Strong problem-solving skills and a pragmatic approach to building solutions that work in practice. • Ability to communicate effectively with both technical and non-technical stakeholders. Nice to Have • Understanding of data privacy and security constraints, including GDPR and handling sensitive data. • Experience working with locally hosted models or secure AI deployments. • Strong product mindset with the ability to define approaches, not just execute tasks. • Experience working in ambiguous or evolving environments. • Interest in helping shape AI capabilities and strategy within a business. • Experience working closely with cross-functional teams in a collaborative setting.