Forward Deployed AI Engineer

Aspire Technology; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Aspire Technology is forming a forward-deployed engineering group that partners with enterprise clients to take AI from idea to production. This delivery-first role blends software engineering with ML and applied AI delivery in close collaboration with real users.

You'll work in small squads, own end-to-end execution, and travel/on-site with customers as needed, translating business problems into scalable AI solutions using LLMs, multimodal models, and tool-based workflows.

Qualifications

• 5+ years in software engineering, ML, or AI product delivery.

Responsibilities

• Work directly with senior client stakeholders to understand objectives, constraints and success metrics.
• Run discovery sessions to identify practical AI opportunities.
• Design and build PoCs and production-ready applications using LLMs, multimodal models, and agentic workflows.
• Engineer end-to-end systems: data ingestion, orchestration, evaluation, deployment, monitoring, security and performance tuning.
• Deploy to customer environments (cloud or on-prem), ensuring scalability, compliance and operational readiness.
• Iterate fast: test hypotheses, measure impact, refine prompts/policies/tools and harden prototypes into durable services.
• Build reusable templates, accelerators, and internal tooling to speed up delivery across industries.
• Collaborate closely with commercial and delivery partners to execute well.
• Capture learnings, document patterns, and help mentor other engineers as the team grows.

Skills

Python

JavaScript/TypeScript

Production-grade coding

LLM-powered apps

Tools

PyTorch

TensorFlow

AWS

Azure

GCP

Job description

In this role, you’ll join a newly formed forward-deployed engineering group that partners with high-priority enterprise clients to take AI from idea to production. This is a delivery-first role for engineers who enjoy being close to real users. You’ll uncover high-value use cases, prototype quickly and ship robust solutions that create measurable outcomes.

Think of it as a blend of product engineer, solutions architect and hands-on applied AI builder—working in small squads, owning end-to-end execution and operating comfortably in ambiguous environments.

What you’ll do

• Work directly with senior client stakeholders to understand objectives, constraints and success metrics
• Run discovery sessions (workshops, whiteboarding, rapid scoping) to identify practical AI opportunities
• Design and build PoCs and production-ready applications using LLMs, multimodal models, and agentic workflows
• Engineer end-to-end systems: data ingestion, orchestration, evaluation, deployment, monitoring, security and performance tuning
• Deploy to customer environments (cloud or on-prem), ensuring scalability, compliance and operational readiness
• Iterate fast: test hypotheses, measure impact, refine prompts/policies/tools and harden prototypes into durable services
• Build reusable templates, accelerators, and internal tooling to speed up delivery across industries
• Collaborate closely with commercial and delivery partners (solutions, product, research, customer success) to execute well
• Capture learnings, document patterns, and help mentor other engineers as the team grows

What we’re looking for

• 5+ years in software engineering, applied ML, or AI product delivery
• Strong coding ability in Python and/or JavaScript/TypeScript (clean APIs, production-grade practices)
• Practical experience with modern ML frameworks (e.g., PyTorch or TensorFlow) and deploying models into real systems
• Hands-on familiarity with LLM-powered applications: RAG, tool/function calling, workflow orchestration, evaluation, guardrails, or multi-agent patterns
• Experience deploying to AWS/Azure/GCP and/or working with enterprise/on-prem setups (networking, IAM, security considerations)
• Ability to translate vague business problems into well-scoped builds, with clear trade-offs and measurable results
• Confident communicator who can explain complex concepts to technical and non-technical audiences and build trust quickly
• Comfortable working across domains (e.g., healthcare, finance, retail, public sector) and adapting to different constraints
• Willingness to travel or spend time on-site with customers when needed

Nice to have

• Prior client-facing delivery experience (implementation, solutions engineering, consulting, or forward-deployed work)
• Exposure to NLP, computer vision, reinforcement learning, or multi-agent research methods
• Experience building internal platforms, deployment templates, or reusable delivery frameworks

Why this role

You’ll work on high-stakes, real-world implementations where customers matter. If you enjoy rapid experimentation, building reliable systems, and partnering directly with customers to turn cutting-edge AI into outcomes, this role will suit you.