AI Engineer – Generative AI & Automation

Company Overview

Our client is a leading global financial technology and financial services organization operating across multiple international markets. Through continuous investment in innovation, automation, and emerging technologies, the organization is building next-generation AI capabilities to enhance operational efficiency, decision-making, and customer experience.

As part of its AI transformation strategy, the company is expanding its Artificial Intelligence & Advanced Analytics team and seeking exceptional talent passionate about applying Generative AI to solve real-world business challenges.

Role Overview

We are seeking a hands-on AI Agent Engineer to design, build, and deploy intelligent AI agents and automation workflows that deliver measurable business value. This role is ideal for someone who enjoys building production-ready AI solutions using frontier language models, agent orchestration frameworks, retrieval systems, and workflow automation platforms

.You will own the end-to-end lifecycle of AI agent development—from solution design and architecture through deployment, optimization, and continuous improvement—working closely with business stakeholders and technical teams to automate complex business processes and unlock new opportunities through Generative AI

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Responsibilities

• Design, develop, and deploy AI agents using OpenAI, Claude, Gemini, and other advanced LLMs.
• Build multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, and related frameworks.
• Develop workflow automations using n8n, Make, Zapier, and custom integrations.
• Implement enterprise-grade RAG solutions leveraging vector databases and semantic search technologies.
• Integrate AI agents with internal platforms, databases, APIs, CRM systems, and third-party applications.
• Design and implement prompt engineering strategies, evaluation frameworks, and optimization methodologies.
• Establish AI guardrails, monitoring, governance controls, and human-in-the-loop workflows.
• Monitor production performance, reliability, latency, quality, and operating costs of deployed AI systems.
• Collaborate with stakeholders to identify and prioritize automation opportunities across the organization.
• Research and evaluate emerging AI technologies and recommend practical applications.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline.
• Minimum 2 years of hands-on experience building AI-powered applications or automation solutions.
• Strong experience with Python development.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agent frameworks.
• Experience integrating OpenAI, Anthropic Claude, Gemini, or other LLM APIs.
• Experience developing RAG architectures and working with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, or pgvector.
• Experience with workflow automation platforms such as n8n, Make, or Zapier.
• Experience building and deploying production-ready AI applications.
• Strong API integration and software engineering skills.
• Experience with cloud environments such as AWS, Azure, or GCP is preferred.
• Experience with MCP (Model Context Protocol) implementations is advantageous.