AI Engineer

AI Engineer Build the Real-Time Intelligence of ADAPT
About digital.enterprises

digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.

About ADAPT

ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair & Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.

About the Role

Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.

Key ResponsibilitiesAI Application Development

• Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
• Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
• Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
• Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.

System Architecture & Optimisation

• Write clean, maintainable code following established patterns and best practice.
• Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
• Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
• Implement caching, batching, and performance optimisations for enterprise-scale deployments.

AI Quality & Reliability

• Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
• Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
• Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
• Create sophisticated prompt engineering solutions that balance specificity and flexibility.

Security & Compliance

• Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
• Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
• Design audit trails and logging for AI-assisted decisions in regulated environments.
• Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.

Domain Integration

• Collaborate with domain experts to understand oil & gas MRO workflows, terminology, and critical requirements.
• Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
• Translate operational requirements into technical specifications and AI capabilities.
• Provide technical guidance during customer implementations and onboarding.

Required QualificationsExperience & Background

• 5+ years of professional software engineering experience in enterprise environments.
• Hands-on experience delivering working AI applications in production or advanced pilot environments.
• Experience working in regulated or sensitive-data settings.

Technical ExpertiseLLM Frameworks & Foundation Models

• Deep expertise building complex agent workflows.
• Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.

Advanced AI Patterns

• Function/tool calling and external system integration.
• Context-window management and retrieval strategies.
• Memory systems for stateful conversations and long-running processes.

AI Engineering

• Building evaluation frameworks and metrics for LLM applications.
• Fine-tuning for domain-specific use cases.
• Experimenting with RL-based agents where impactful.
• Advanced prompt engineering and optimisation.

Software Engineering

• Clean-code principles and SOLID design patterns.
• Performance optimisation and scalability.
• Version control (Git) and CI/CD pipelines.
• Testing strategies for AI systems (unit, integration, end-to-end).
• Security best practice, data protection, and compliance awareness.

Soft Skills

• Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
• Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
• Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.

Preferred

• Domain knowledge in oil & gas operations, supply chain, or industrial procurement.
• Experience with MRO/EAM/supply chain software.
• Familiarity with industry-specific standards and terminology.
• Background in traditional ML/data science beyond LLMs.
• Experience with vector databases, semantic search, and RAG architectures.

Why Join Us

At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.

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