LLM Engineer at Smart Working Solutions

About Smart Working

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.

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.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

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.

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.

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.

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.

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.

Benefits

Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)

No Weekend Work: Real work-life balance, not just words

Day 1 Benefits: Laptop and full medical insurance provided

Support That Matters: Mentorship, community, and forums where ideas are shared

True Belonging: A long-term career where your contributions are valued