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SENIOR AI ENGINEER – Agentic AI & Enterprise AI Platforms: 🎯 Essential: 5+yrs Software/AI engineering + building production + Tech/AI start-up 💰 Compensation: $200,000 – $400,000 Total Compensation 📍 Location: Abu Dhabi, UAE 🇦🇪 (relocation & visa supported) The Opportunity We're partnering with a highly successful global hedge-fund that is making a significant long-term investment in AI engineering . We're looking for a hands-on AI Engineer / Software Engineer (Tech/AI company preferred over Finanical Services) to join a small, high-calibre team building a new AI product from the ground up . This is not an AI research, consulting or strategy role. It's a highly technical engineering role focused on building, shipping and operating production-grade agentic AI systems , with significant scope for experimentation and product development. You'll work with modern LLM technologies to build agent orchestration, tool use, RAG/GraphRAG, context and memory systems, evaluation and observability , alongside the underlying APIs, services and deployment infrastructure required to run them reliably in production. The environment has the pace, autonomy and experimentation of an AI startup , combined with the resources and scale to take what you build into production. What You'll Do Design, build and ship production-grade AI applications and agentic systems. Build agent orchestration incorporating planning, tool use, context and memory. Develop RAG and GraphRAG systems, semantic search and knowledge retrieval. Build reliable LLM-powered workflows and AI products , taking ideas from experimentation through to production. Develop the underlying APIs, services and infrastructure required to operate AI systems at scale. Build evaluation frameworks, observability and monitoring to measure and improve agent performance. Work with containers, cloud infrastructure and deployment/control-plane technologies to run AI systems reliably. Experiment rapidly with emerging models, frameworks and architectures and turn successful ideas into production capabilities. Take genuine ownership of systems from architecture through implementation, deployment and operation . What We're Looking For We're looking for software engineers who are exceptional AI engineers — people who genuinely enjoy building things and are comfortable operating at the cutting edge of the technology. You'll ideally have: Strong software engineering fundamentals and significant hands-on coding experience. Proven experience shipping and operating production AI/agentic systems . Strong Python experience and a track record of building APIs, services and production software. Hands-on experience with agent orchestration, tool calling, RAG/GraphRAG, context or memory management . Experience building evaluation, observability, monitoring or reliability systems for AI applications. Experience with modern LLM/agent frameworks such as LangGraph, LangChain, OpenAI Agents SDK, Google ADK, Claude Agent SDK, CrewAI or similar . Experience with cloud infrastructure and modern deployment practices, ideally including Docker, Kubernetes or equivalent containerised environments . A strong interest in AI product experimentation and the ability to take an idea from prototype to something people actually use. The ability to work autonomously in a small, highly technical engineering team . We're particularly interested in engineers coming from: AI-native technology companies Early-stage / high-growth AI startups Teams building production agentic AI products AI platform / infrastructure engineering teams Strong software engineering teams where you've moved deeply into LLM and agent engineering We're less concerned with the prestige of the company on your CV than what you personally built and shipped. Financial-services experience is not required. Why This Role? Build a new AI product from the ground up , rather than maintaining an established platform. Work with a small team of highly technical AI/software engineers. Significant technical ownership and autonomy . Work directly with the latest developments in agentic AI and LLM engineering . Experiment rapidly and see your ideas move from prototype to production. Access to the resources and scale of a world-class investment firm without the bureaucracy of a traditional enterprise environment. Highly competitive compensation. Opportunity to work alongside senior AI leadership and help define how the next generation of AI products are engineered. If this isn’t for you but you know someone who’d be interested, then why not confidentially recommend them by clicking here http://peartalent.co.uk/spread-the-word/. We have a fantastic referral scheme up to £1,000*.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.