AI Engineer

We are seeking an experienced AI Engineer to design, develop, and support production-oriented Generative AI and agentic AI solutions supporting internal business and operations use cases.

The ideal candidate will have a traditional software or application engineering foundation and have transitioned into hands-on AI engineering, with experience building AI applications, agents, or solutions that integrate with large language models.

This individual should be capable of taking AI beyond experimentation and prototypes by developing reliable, production-oriented solutions that support real operational workflows. Candidates should understand both the technical implementation of AI solutions and the business problems those solutions are designed to solve.

Skills and Requirements

Hands-on experience building GenAI and/or agentic AI solutions, not simply using Copilot or AI coding assistants

Experience designing and developing AI agents

Strong Python and/or JavaScript development experience

Experience integrating applications with LLMs/models

Strong software/application engineering foundation with experience building production-oriented AI solutions

Ability to translate business or operational problems into working AI solutions

Experience supporting and troubleshooting AI applications beyond the proof-of-concept stage Banking or financial-services experience, highly preferred

Software, Full Stack, or backend engineering background prior to transitioning into AI

RAG / Retrieval-Augmented Generation

Context engineering and prompt engineering

Token optimization / efficient LLM usage

Vector databases, semantic search, or small language models

Azure/cloud experience and experience integrating AI with existing enterprise or legacy applications