AI Frontend Engineer

We are looking for an experienced AI Frontend Engineer with a strong foundation in Generative AI, Agentic AI, and Full Stack Development. Despite the title, this is an AI-first engineering role, where approximately 80% of the work revolves around building AI-powered applications, agents, and intelligent workflows, while the remaining 20% focuses on full-stack development and integration. The ideal candidate should be comfortable designing and developing production-grade AI systems while also possessing the engineering skills required to build and integrate end-to-end applications.

The candidate will have responsibilities across the following functions:

AI Engineering (Primary Focus):

• Design, develop, and deploy AI-powered applications using Large Language Models (LLMs).
• Build and optimise RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases.
• Develop Agentic AI systems capable of autonomous reasoning, planning, and tool usage.
• Engineer prompts, workflows, and orchestration frameworks for scalable AI applications.
• Integrate vector databases, embedding models, and retrieval systems.
• Fine-tune AI models and evaluate model performance using industry best practices.
• Implement AI observability, monitoring, guardrails, and evaluation frameworks.
• Collaborate with product and business teams to translate requirements into AI-driven solutions.

Full Stack Engineering (Secondary Focus):

• Develop responsive and scalable frontend applications using modern JavaScript frameworks.
• Build backend APIs and services to support AI workflows and integrations.
• Integrate AI services seamlessly into user-facing applications.
• Ensure application performance, scalability, security, and maintainability.
• Participate in architecture discussions, code reviews, and engineering best practices.

Requirements:

• Experience building production-grade AI applications used by real customers.
• Strong understanding of software architecture and scalable system design.
• Experience working with enterprise AI platforms and cloud-native environments.
• Familiarity with AI governance, security, and responsible AI practices.
• Exposure to multi-agent systems and autonomous workflows.
• Experience working in Agile product engineering teams.

Good to Have:

• An engineer who thinks AI-first rather than simply integrating AI APIs.
• Strong problem-solving and system design capabilities.
• Ability to independently drive AI initiatives from concept to production.
• A builder who can bridge the gap between AI innovation and full-stack product development.
• Someone passionate about shaping the future of AI-powered digital experiences.

Required Skills:

• AI and Generative AI: " Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), Agentic AI / AI Agents, Prompt Engineering, LangChain / LangGraph / LlamaIndex, AI Evaluation and Observability, Vector Databases (Pinecone, Weaviate, Chroma, Milvus, etc. ), Embeddings and Semantic Search, OpenAI, Anthropic, Gemini, or similar LLM ecosystems, AI Application Architecture.
• Backend Development: Python, FastAPI / Flask, REST APIs and Microservices, Database Design and Integration, Authentication and Authorisation, Cloud-based Deployment.
• Frontend Development: React.js, TypeScript, Next.js (Preferred), Modern UI Development Practices, API Integration.
• Cloud and DevOps: AWS / Azure / GCP, Docker and Containerization, CI/CD Pipelines, Kubernetes.