AI / LLM Application Engineer

Tandem Interim; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

Tandem Interim seeks an engineer to add governed AI features to an internal client-relationship platform, including AI-assisted summaries and next-best-action drafts, all grounded in approved data and human-reviewed before sending.

The role emphasizes compliance in a regulated business environment, with RAG-based retrieval, versioning, audit logging, and robust testing on private infrastructure, and support for Arabic-language generation.

Qualifications

• 4+ years of production software engineering (Python and/or TypeScript).
• 18+ months building AI/LLM features used by real users.
• Hands-on experience building RAG systems with citations.
• Experience with authentication, access control, logging, and human approval workflows for sensitive data.

Responsibilities

• Implement RAG-based retrieval with source citations and freshness flags.
• Develop AI-generated summaries and draft communications with human review.
• Ensure versioning, audit logging, and regression testing processes.
• Support Arabic-language generation and translation features.
• Deploy AI features on private/self-hosted infrastructure.

Skills

Python

TypeScript

RAG systems

Job description

We're looking for an engineer to add governed AI features to an existing internal client-relationship/business-development platform, AI-assisted summaries, next-best-action suggestions, and drafted communications, all grounded in approved data, cited, and reviewed by a human before anything is sent. This is a controlled, compliance-conscious build for a regulated business environment, not an open-ended AI experiment.

What you'll build

• RAG-based retrieval over approved internal content, with source citations, freshness flags, and missing-data warnings
• AI-generated account summaries, meeting-prep briefs, and draft follow-ups (with mandatory human approval before anything goes out)
• Versioning, audit logging, and an evaluation/testing process to catch quality regressions
• Support for Arabic-language generation and translation
• Deployment on private/client-controlled infrastructure (not standard cloud AI APIs)

Must-haves

• 4+ years of production software engineering (Python and/or TypeScript)
• 18+ months building AI/LLM features actually used by real users (not just demos or side projects)
• Hands-on experience building RAG systems: ingestion, chunking, embeddings, retrieval, and citation of sources
• Experience designing ways to test/evaluate AI output quality without a large labeled dataset
• Experience with authentication, access control, logging, and human-approval workflows for sensitive data
• Comfortable deploying AI systems on private/self-hosted infrastructure (not just calling a public AI API)

Nice-to-haves

• Experience with Arabic-language AI or right-to-left text handling
• Background in banking, wealth/asset management, or other regulated industries

What's out of scope

• No autonomous sending or external client-facing AI
• No use of public cloud AI services (e.g., Azure OpenAI) , client data stays on approved infrastructure
• No AI model training/fine-tuning from scratch