Skills
Production-grade LLM solutions
Large Language Models
Prompt engineering
Retrieval Augmented Generation (RAG)
AI agents
Agentic workflows
Model orchestration
AI evaluation
Model performance optimization
Enterprise LLM integration
AI security
AI privacy
Responsible AI
Intelligent Document Processing
Document classification
Data extraction
OCR
Document validation and verification
Document workflow automation
Redaction services
Full-stack development
OpenAI
Claude
Gemini
Llama
LLMs
RAG
Summary
✨ AI‑Generated
Join a technology team building production-grade AI and full-stack solutions for enterprise workflows. You will design and integrate LLM-powered capabilities, develop RAG and agentic systems, optimize model performance, and apply responsible AI principles. A major part of the role involves intelligent document processing, including classification, extraction, OCR, validation, workflow automation, and redaction.
Highlights
Opportunity to build production AI solutions with measurable business impact, combining LLM engineering, agentic workflows, and intelligent document processing. The role offers exposure to modern AI architectures, enterprise integrations, responsible AI practices, and end-to-end full-stack engineering.
Description
JD :
Mandatory AI & LLM Experience
Proven experience delivering production-grade LLM solutions.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.
Mandatory Intelligent Document Processing Experience
Deep experience delivering Intelligent Document Processing solutions.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
Extensive experience developing enterprise applications.Strong programming capability in one or more of Python, Java, Go or .NET.Strong ReactJS development experience.Strong API design and integration experience.Strong AWS cloud engineering capability.Docker and containerisation experience.CI/CD pipeline design and implementation experience.Automated testing framework experience.Experience working in highly regulated enterprise environments.
Engineering Excellence
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 :
AI, LLM & Document Intelligence
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.
Intelligent Document Processing
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 reusable document intelligence services that can be leveraged across multiple business domains.Drive innovation in document processing through emerging AI technologies.
Full Stack Engineering
Design, develop and maintain modern web applications and APIs.Build responsive user experiences using ReactJS.Develop backend services using Python, Java, Go or .NET.Design scalable microservices and event-driven architectures.Contribute to technical architecture, engineering standards and strategic technology direction.Mentor and uplift engineering capability across the squad and broader engineering community.
Cloud, Platform & DevSecOps
Build and operate cloud-native solutions on AWS.Develop containerised workloads using Docker.Design and enhance CI/CD pipelines to improve delivery speed and quality.Automate infrastructure, testing and deployment activities wherever possible.Improve observability, operational resilience and platform reliability.Apply modern DevSecOps practices throughout the software delivery lifecycle.
