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.