Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the workplace. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.

Experience : 10+ Years

Location : Sydney

Job Type : Full Time (Permanent)

About the Role

We are seeking an experienced Senior Full Stack Engineer to help build the future of Document Management, Document Intelligence and Intelligent Document Processing.





This is not a traditional full stack engineering role. We are specifically seeking an engineer who has successfully delivered production-grade AI and Large Language Model (LLM) solutions and can apply these capabilities to transform document processing, workflow automation and customer journeys.

Mandatory AI & LLM Experience

- Demonstrated success deploying AI solutions that generated measurable business outcomes.
- Hands-on experience with Large Language Models such as OpenAI, Claude, Gemini, Llama or equivalent.
- Hands-on experience with prompt engineering, Retrieval Augmented Generation (RAG), AI agents and agentic workflows.
- Experience with model orchestration frameworks, AI evaluation frameworks and model performance optimisation.
- Experience integrating LLMs into enterprise applications and business workflows.
- Understanding of AI security, privacy, explainability, fairness, governance and responsible AI controls.
- Experience with document classification, data extraction, OCR technologies, validation and verification frameworks, document workflow automation, redaction services and document intelligence platforms.
- Demonstrated ability to improve customer and operational outcomes through intelligent automation.
- Experience processing structured, semi-structured and unstructured document workloads.

Technical Engineering Experience





- Strong programming capability in one or more of Python, Java, Go or .NET.
- Strong API design and integration experience.
- Docker and containerisation experience.
- CI/CD pipeline design and implementation experience.
- Automated testing framework experience.
- Experience working in highly regulated enterprise environments.
- Strong software design and solution architecture skills.
- Deep understanding of DevSecOps principles.
- Experience designing resilient and observable systems.
- Strong problem-solving and systems-thinking capabilities.
- Demonstrated ability to balance innovation, delivery, risk and resilience.

Key Responsibilities :

- Design, build and deploy AI-powered solutions into production environments.
- Develop and maintain LLM-based applications that deliver measurable business value.
- Design and implement Retrieval Augmented Generation (RAG) architectures.
- Build AI agents and orchestration frameworks that automate document-centric business processes.
- Develop prompt engineering, model evaluation and model optimisation capabilities.
- Assess and select appropriate AI models based on business outcomes, performance, cost and risk considerations.
- Drive adoption of AI-powered engineering practices across the crew.
- Design and build enterprise-scale Intelligent Document Processing solutions.
- Develop document classification, extraction, validation, redaction and workflow automation capabilities.
- Integrate OCR, document intelligence and AI technologies into customer journeys.
- Improve straight-through processing rates through intelligent automation.
- Build reusabl

📌 Sr Full Stack Engineer (Sydney)
🏢 Tata Consultancy Services
📍 Sydney