Forward Deployed Engineer

Open Innovation AI; Abu Dhabi; On-site; AED 360,000 - 600,000; Full time

Job summary

Open Innovation AI in Abu Dhabi is seeking an experienced engineer to work on the OI Platform, delivering AI-driven solutions on top of a robust infrastructure.

You will translate client needs into workflows, data integrations, and web interfaces, collaborating with product engineers and deployment strategists. Travel to client sites may be required to ensure success.

Qualifications

• Strong engineering background in computer science, software engineering, mathematics, physics, or data science.
• 4+ years in backend, data, or full-stack engineering; senior/junior welcome; indicate level.
• Proficiency in Python or TypeScript.
• Hands-on experience with modern AI tooling: LLMs, RAG, vector databases, agent frameworks, evaluations, and prompt orchestration.
• Experience with cloud platforms (AWS, GCP, Azure) and modern data tooling.
• Ability to communicate with CTOs and executives.

Responsibilities

• Embed with client stakeholders to translate business problems into technical solutions.
• Build AI solutions on top of the OI Platform, including workflows, data products, and integrations.
• Own full lifecycle: discovery, architecture, build, deployment, iteration.
• Transform large real-world data into AI-ready formats.
• Collaborate with product engineers and deployment strategists.
• Travel to client sites for workshops and live system debugging.

Skills

Python

TypeScript

LLMs

RAG

Vector databases

Agent frameworks

Prompt orchestration

Cloud platforms

Tools

AWS

GCP

Azure

Job description

Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes

Role Overview:

You will work directly with customers on their hardest problems, then design and build AI systems to solve them.

Most of what you build will sit on top of the OI Platform, which provides the underlying infrastructure: model inference, agent orchestration, retrieval and the broader AI tooling layer. Your focus is not on rebuilding the foundation, but on applying it effectively. You will concentrate on the customer-specific layer: workflows, data integrations, user interfaces, and the points where the platform meets a live operation.

Teams are small, autonomy is high, and you own each project from kickoff through production. A typical day may involve discussing architecture with a colleague, preparing customer data, building a web application on top of the platform, integrating with SAP or Oracle, prototyping an agent, and presenting results to executives.

You build it, you ship it, you own it

This is a strong environment for engineers who want to develop real depth. You will learn how to break down ambiguous problems, evaluate real tradeoffs, work directly with modern AI tooling, and grow within a team that will challenge you.

Role Responsibilities:

• Embed with the client and work alongside their stakeholders to translate business problems into technical solutions.
• Build AI solutions on top of the OI Platform, including agent workflows, RAG pipelines, custom applications, and data products that connect the platform to the customer's enterprise systems.
• Own the full lifecycle: discovery, architecture, build, deployment, and iteration once real users are on the system.
• Transform large, complex, real-world data into formats that AI systems can use effectively.
• Collaborate with product engineers, deployment strategists, and the customer's team on both the solution and the surrounding strategy.
• Travel to client sites when the work calls for it: running workshops, debugging live systems, and building trust with the people you are delivering for

Required skills & Experience:

• A strong engineering background in computer science, software engineering, mathematics, physics, or data science.
• 4+ years in backend, data, or full-stack engineering. More senior and more junior candidates are welcome to apply; please indicate where you sit.
• Genuine proficiency in Python or TypeScript (either is acceptable).
• Hands-on experience with modern AI tooling: LLMs, RAG, vector databases, agent frameworks, evaluations, and prompt orchestration.
• Experience working with large-scale data, cloud platforms (AWS, GCP, or Azure), and modern data tooling.
• The ability to hold a substantive conversation with a CTO and a non-technical executive in the same meeting.
• A strong sense of ownership: you make decisions, ship work, and move forward without waiting to be directed.
• Comfort with ambiguity, shifting priorities, and problems that have not been solved before

Preferred Experience:

• Experience deploying AI/ML systems in regulated or mission-critical environments.
• Experience working directly with enterprise customers in a delivery or consulting capacity