AI / LLM Application Engineer

Techwaresoft; United Arab Emirates; Remote; AED 335,000 - 580,000; Full time

Job summary

Techwaresoft LLC in the United Arab Emirates is seeking an AI/LLM Application Engineer to build governed AI features for an internal relationship-management platform. The role emphasizes secure, production-ready AI with RAG, citations, and human approval workflows, including Arabic report generation.

You'll develop Python/TypeScript services and UI workflows, implement RBAC and monitoring, and create AI evaluation frameworks to measure quality and safety.

Qualifications

• 4+ years of software engineering experience with production LLM implementations.
• Hands-on experience delivering LLM-powered features used by real users.
• Experience with AI evaluation, prompt versioning, observability, and secure deployments.
• Strong RAG experience including embeddings, retrieval, grounding, and citations.

Responsibilities

• Assess existing architecture, data sources, and AI integration requirements.
• Build and optimize RAG pipelines, retrieval systems, citations, guardrails, and fallback mechanisms.
• Develop Python/TypeScript services and UI workflows for AI outputs, feedback, and approvals.
• Implement security features including RBAC, logging, monitoring, and data controls.
• Create AI evaluation frameworks to measure quality, safety, and reliability.
• Support deployment, production releases, and technical handover
• Production-ready AI features
• Reliable RAG systems with citations
• AI quality evaluation framework
• Secure deployment and monitoring

Skills

LLM deployments

RAG pipelines

AI evaluation

Prompt versioning

Observability

Security deployments

Python/TypeScript

Tools

Python

TypeScript

RBAC

Observability tooling

Job description

We are looking for an AI/LLM Application Engineer to develop secure, production-ready AI features for an internal relationship-management platform. The role focuses on building governed AI solutions with RAG, citations, evaluations, human approval workflows, and controlled Arabic report generation.

Responsiblities

• Assess existing architecture, data sources, and AI integration requirements.
• Build and optimize RAG pipelines, retrieval systems, citations, guardrails, and fallback mechanisms.
• Develop Python/TypeScript services and UI workflows for AI outputs, feedback, and approvals.
• Implement security features including RBAC, logging, monitoring, and data controls.
• Create AI evaluation frameworks to measure quality, safety, and reliability.
• Support deployment, production releases, and technical handover
• Production-ready AI features
• Reliable RAG systems with citations
• AI quality evaluation framework
• Secure deployment and monitoring

Must Have

• 4+ years of software engineering experience with production LLM implementations.
• Hands-on experience delivering LLM-powered features used by real users
• Experience with AI evaluation, prompt versioning, observability, and secure deployments
• Strong RAG experience including embeddings, retrieval, grounding, and citations.

Nice to have

• Experience with Arabic AI applications, RTL handling, and multilingual systems
• Background in relationship management, finance, research, or regulated industries.
• Experience with KSA/GCC data protection and AI governance requirements
• Knowledge of human-in-the-loop AI workflows and governed AI systems.
• Experience extending internal platforms and building admin tools.

What's great in the job?

• Great team of smart people, in a friendly and open culture
• No dumb managers, no stupid tools to use, no rigid working hours
• No waste of time in enterprise processes, real responsibilities and autonomy
• Expand your knowledge of various business industries
• Create content that will help our users on a daily basis
• Real responsibilities and challenges in a fast evolving company