AI Engineer / AI Developer

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.