Forward Deployed Engineer

7X; Dubai; On-site; AED 260,000 - 520,000; Full time

Job summary

7X is seeking a Forward Deployed Engineer to join our team and partner with operating companies to transform real-world challenges into deployed AI solutions.

The role blends software engineering, AI/LLM development, systems integration and business problem-solving to deliver measurable operational value. You will work from discovery to production and handover, ensuring security and scalability as you go.

Qualifications

• Bachelor's degree or higher in AI, CS, SWE, Data Science, or related field.
• 1–3 years hands-on experience building and deploying software or AI solutions into production.
• Proven experience delivering solutions used by real users beyond proof‑of‑concept.
• Recent practical experience developing applications using Large Language Models (LLMs).
• Strong experience with Python for application development and/or data work.
• Experience with LLM APIs, prompt engineering and context design.
• Practical knowledge of Retrieval‑Augmented Generation (RAG) and vector databases.
• Experience with AI agent frameworks and workflow orchestration.
• Experience with APIs, system integration, SQL and data pipelines.
• Exposure to AI evaluation and testing frameworks.
• Experience with cloud platforms and deploying/managing apps in cloud environments.
• Exposure to lightweight front-end development for internal tools is an advantage.
• Strong process mapping, business analysis and requirements gathering skills.
• Ability to communicate technical concepts to non-technical stakeholders.
• Experience working directly with clients, business units or operations teams is strongly preferred.
• Exposure to logistics, supply chain or operations-heavy environments is an advantage.

Responsibilities

• Identify operational problems with operating companies and translate into AI/automation solutions.
• Conduct process discovery, requirements gathering, and stakeholder interviews.
• Design, build, test and deploy AI-powered solutions using internal platforms and components.
• Develop solutions using Python, LLM APIs, RAG, vector databases, agent frameworks and workflow orchestration.
• Integrate AI solutions with existing systems, APIs and data sources.
• Prototype, test with real users, and iterate toward production implementations.
• Develop evaluation and testing frameworks for AI solution quality and performance.
• Monitor deployed solutions in production and troubleshoot issues.
• Coordinate with Group IT, Info Security, Data & Analytics for architecture and security.
• Document solutions and prepare technical handover materials.
• Train users and owners to operate and extend deployed solutions.
• Track measurable benefits from deployments (cost savings, productivity, licensing).
• Identify reusable components/patterns to accelerate future deployments across the Group.
• Support build-versus-buy assessments by showing feasibility and TCO of internal solutions.
• Lead pods or coordinate interns when required.

Skills

Python

LLMs

LLM APIs

Prompt engineering

RAG

Vector databases

AI agents

Workflow orchestration

API integration

SQL

Data pipelines

Cloud deployment

Process automation

Education

Bachelor's degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Industrial Engineering or related

Job description

Forward Deployed Engineer

We are looking for a Forward Deployed Engineer to join our Team and work directly with operating companies across the Group to turn real‑world operational challenges into deployed AI solutions.

This is a hands‑on engineering role for someone who enjoys working closely with business users, understanding how work is performed, building practical AI solutions and taking them all the way from discovery to production and handover.

The successful candidate will combine software engineering, AI/LLM development, systems integration and business problem-solving to deliver solutions that create measurable operational value.

Key Responsibilities

• Work directly with operating companies to identify operational problems and translate them into practical AI and automation solutions.
• Conduct process discovery, requirements gathering and stakeholder interviews.
• Design, build, test and deploy AI‑powered solutions using internal platforms, models and reusable components.
• Develop solutions using Python, LLM APIs, RAG, vector databases, agent frameworks and workflow orchestration.
• Integrate AI solutions with existing operational systems, APIs, data sources and business workflows.
• Rapidly prototype solutions, test them with real users and iterate towards production‑ready implementations.
• Develop evaluation and testing frameworks to measure AI solution quality and performance.
• Monitor deployed solutions in production and troubleshoot performance, quality and integration issues.
• Work with Group IT, Information Security, Data & Analytics and business teams to ensure appropriate architecture, security and compliance.
• Document solutions and prepare technical handover materials.
• Train business users and operational owners to use, maintain and extend deployed solutions.
• Track and report measurable benefits from each deployment, including cost savings, productivity improvements and licence displacement.
• Identify reusable components and patterns that can accelerate future AI deployments across the Group.
• Support build‑versus‑buy assessments by demonstrating the technical feasibility and total cost of internally developed solutions.
• Where required, lead temporary delivery pods or coordinate the work of interns.

Requirements

• Bachelor's degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Industrial Engineering or a related discipline.
• 1–3 years of hands‑on experience building and deploying software or AI solutions into production.
• Proven experience delivering solutions used by real users beyond proof‑of‑concept or experimental environments.
• Recent practical experience developing applications using Large Language Models (LLMs) is required.
• Strong experience with Python for application development and/or data‑related work.
• Experience working with LLM APIs, prompt engineering and context design.
• Practical knowledge of Retrieval‑Augmented Generation (RAG) and vector databases.
• Experience with AI agent frameworks and workflow orchestration.
• Experience with APIs, system integration, SQL and data pipelines.
• Exposure to AI evaluation and testing frameworks.
• Experience with cloud platforms and deploying/managing applications in cloud environments.
• Exposure to lightweight front‑end development for internal tools is an advantage.
• Strong process mapping, business analysis and requirements‑gathering skills.
• Ability to communicate technical concepts to non‑technical stakeholders.
• Experience working directly with clients, business units or operational teams is strongly preferred.
• Exposure to logistics, supply chain or operations‑heavy environments is an advantage.

Key Technical Skills

Python | Generative AI | LLMs | LLM APIs | Prompt Engineering | RAG | Vector Databases | AI Agents | Workflow Orchestration | API Integration | SQL | Data Pipelines | AI Evaluation | Cloud Deployment | Software Development | Process Automation

What We Are Looking For

We are looking for an engineer who is comfortable operating at the intersection of technology and business.

You should be able to take an ambiguous operational problem, understand it directly from users, design a technical solution, build it, deploy it into production and ensure that the business can successfully use and maintain it.

Candidates whose experience is limited to academic projects, training or POCs without production deployment experience will not be considered.