ROLE OVERVIEW
We are looking for an AI Developer with strong hands-on experience in LLM-based systems, RAG architectures, and production-grade AI solutions. You will design, build, and deploy AI-driven features that deliver concrete business value, ranging from intelligent assistants and agentic workflows to document-based reasoning systems and AI-powered automation.
You will work closely with product, platform, and business stakeholders to translate complex domain problems into scalable, secure, and maintainable AI solutions.
KEY RESPONSIBILITIES
AI & Application Development
- Design, implement, and deploy LLM-powered applications, including chatbots, copilots, and AI agents.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and structured knowledge sources.
- Develop agentic workflows for multi-step reasoning and automation where single-prompt LLM usage is insufficient.
- Integrate AI capabilities into existing platforms via REST-based microservices.
Architecture & Platform
- Contribute to the architecture of scalable, production-ready AI systems.
- Integrate multiple LLM providers (cloud and/or local models) in a unified application layer.
- Ensure data security, access control, and privacy-aware AI design, especially for enterprise or client-sensitive environments.
MLOps & Engineering Quality
- Containerise and deploy AI services using Docker and cloud-native tooling.
- Implement monitoring for latency, errors, token usage, and system health.
- Apply software engineering best practices: clean code, testing, CI/CD, and documentation.
- Collaborate in code reviews and contribute to shared technical standards.
Collaboration & Impact
- Work closely with stakeholders to align AI solutions with real business needs.
- Communicate technical concepts clearly to non technical audiences when needed.
- Contribute ideas on how AI can improve workflows, products, and decision-making.
