Full Stack AI Engineer at Penny Software

Penny Software; Manama; On-site; BHD 48,000 - 78,000; Full time

Job summary

Penny Software, a fast-growing procurement and technology company, seeks a Senior Full Stack AI Engineer in Manama to lead AI/ML development and end-to-end integration.

You will deploy AI agents, build scalable systems, and collaborate with Product, Data, and UX teams to deliver measurable value for procurement professionals across the MENA region. On-site role with growth into leadership.

Qualifications

• 4+ years of hands-on AI development experience.
• Experience building AI agents and automated chatbots — going beyond simple prompting to systems that reason and take action.
• Strong command of modern LLM techniques, plus hands-on experience applying OCR and vision models to real problems.
• Ability to host and deploy your own custom (and open-source) models online on GCP or another cloud platform.
• Solid backend engineering skills plus front-end proficiency with a modern framework (Angular) to integrate AI solutions into the product yourself.
• Proven ability to solve complex business problems using AI/ML with measurable impact.
• Strong understanding of data processing and distributed systems.

Responsibilities

• AI/ML Development & Deployment: Build AI agents and chatbots, deploy them, and use LLM techniques for value creation.
• Full Stack Integration: Connect AI models to backend services and Angular-based front-ends.
• Deployment & Technical Leadership: Ensure scalable, secure AI solutions; mentor engineers.
• Cross-Functional Collaboration: Partner with Product, Data, and UX teams to align AI improvements with user needs.

Skills

AI development

Agentic development

LLM techniques

Model deployment

Full stack

Production impact

Distributed systems

Tools

GCP

Cloud platforms

Angular

OCR/vision models

Job description

This Full time on site position offers great opportunities for career growth.

Location: Manama, B13, BH.

About Penny Software

Penny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. Our mission is to build the best possible source- to-pay platform, allowing organizations worldwide to find suppliers, issue tenders, and manage responses faster, cheaper, and more efficiently than ever before.

Role Summary

This is a high-impact senior role that sits at the intersection of Engineering, Data, and Product. As a Full Stack AI Engineer, you will not only build and deploy AI/ML solutions but also integrate them end-to-end into our products — from the backend services that power them to the front-end experiences that deliver them to users. You will steer Penny's approach to Machine Learning and AI, identifying opportunities to deliver measurable customer value and shipping the complete, scalable solutions to realize it. Your work will directly impact thousands of procurement professionals across the MENA region. If successful, this role has the potential to develop into a Team Leadership position as we expand our dedicated AI/ML team.

What You'll Do: Core Responsibilities

1. AI/ML Development & Deployment
   Build AI agents and automated chatbots that can reason, take actions, and drive procurement workflows autonomously. Develop solutions utilizing the latest Large Language Model (LLM) techniques to create tangible customer value. Apply OCR and vision models to extract, understand, and process documents and other unstructured procurement data. Architect and implement Retrieval-Augmented Generation (RAG) systems to provide accurate, contextual, and grounded responses to user queries. Host and deploy your own custom AI models online on GCP or other cloud platforms. Create robust algorithms for advanced pattern recognition and process automation within complex procurement workflows.
2. Full Stack Integration
   Integrate AI solutions end-to-end — building the backend services that expose them and the front-end interfaces that surface them to users. Develop intuitive, AI-powered user experiences using modern front-end frameworks such as Angular. Ensure AI features are wired cleanly into our existing product, from API to UI.
3. Deployment & Technical Leadership
   Ensure all AI solutions are scalable, secure, and maintainable within our existing micro- service architecture. Host, deploy, and monitor custom and open-source models on cloud infrastructure (GCP or similar). Conduct rigorous A/B testing and performance optimization, ensuring the solution's performance meets business requirements. Provide technical guidance and mentorship on AI and full-stack best practices to other engineers at Penny. Own the solution life cycle from concept through to final deployment and monitoring.
4. Cross-Functional Collaboration
   Partner closely with Product teams to identify the highest-value opportunities for AI- driven improvements. Collaborate with Data teams to ensure high-quality training data, feature engineering, and labeling processes. Work with UX teams to translate complex models into intuitive, AI-powered user experiences.

What You Need to Succeed

• Experience: 4+ years of hands-on experience in AI development, specifically deploying and managing solutions in production environments.
• Agentic Development: Proven experience building AI agents and automated chatbots — going beyond simple prompting to systems that reason and take action.
• LLM & Model Techniques: Strong command of modern LLM techniques, plus hands-on experience applying OCR and vision models to real problems.
• Model Deployment: Ability to host and deploy your own custom (and open-source) models online on GCP or another cloud platform.
• Full Stack Ability: Solid backend engineering skills plus front-end proficiency with a modern framework (Angular) sufficient to integrate AI solutions into the product yourself.
• Production Impact: Proven ability to solve complex business problems using AI/ML, demonstrating: a clear understanding of problem-solution fit. Rigorous evaluation of solution effectiveness. Measurable business impact of your implementations.
• Technical Foundation: Strong understanding of data processing, model evaluation techniques, and building high-performance, distributed systems.

Desired Qualifications (Pluses)

• Experience fine-tuning or training custom models.
• Hands-on experience with cloud platforms (Google Cloud, AWS, or Azure) and their native AI services.
• Experience with Arabic language application of AI and ML.
• Knowledge of procurement, supply chain, or enterprise SaaS software domain.