AI Engineer / AI Developer

Description and Requirements Job Brief We are seeking a highly skilled AI Engineer / AI Developer to design, develop, and deploy AI-powered solutions that solve complex business challenges. The ideal candidate will have strong hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Python development. This role involves working closely with business stakeholders to build innovative AI products, enhance existing enterprise solutions, and drive AI-led transformation initiatives. The successful candidate will be responsible for developing production-grade AI applications, integrating AI services into business platforms, and translating business requirements into scalable AI solutions. Key Responsibilities Design, develop, and deploy AI-powered applications and intelligent automation solutions. Build and optimize applications using Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic, or similar platforms. Develop and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge sources. Design and build AI Agents and multi-agent workflows to support business processes and decision-making. Develop APIs and integrate AI services with enterprise applications and third-party platforms. Create Proof-of-Concepts (PoCs) and transform them into scalable enterprise-grade solutions. Enhance and optimize existing AI and tax technology solutions. Collaborate closely with business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot, monitor, and optimize AI applications for performance, reliability, and scalability. Contribute to AI architecture decisions, best practices, and innovation initiatives. Mandatory Skills & Experience AI Technologies Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agent concepts and frameworks Technical Skills Strong Python programming skills Hands-on experience building LLM-powered applications Experience with vector databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search, etc.) API development and integration Software engineering fundamentals, including version control and application architecture Experience deploying AI applications in production environments Core Competencies Strong analytical and problem-solving abilities Ability to convert business requirements into AI-driven solutions Excellent communication and stakeholder-management skills Ability to work independently in a fast-paced environment Preferred Skills Natural Language Processing (NLP) Machine Learning (ML) Knowledge Graphs Microsoft Copilot / AI Agent development experience Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks Experience with cloud platforms such as Azure, AWS, or GCP Exposure to MLOps and model deployment practices Domain Experience (Preferred, Not Mandatory) Candidates with exposure to any of the following domains will have an added advantage: Tax Technology Financial Services Finance Applications Compliance Solutions FinTech Products Enterprise SaaS Platforms Strong AI professionals from other domains are encouraged to apply if they can quickly learn new business domains. Required Qualifications Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related discipline.