Lead AI Engineer
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Key skills for this role
About the Role
Presight is looking for a Lead AI Engineer to design, build, and deploy enterprise-grade AI-powered products and platforms, focusing on LLM applications, AI agents, and RAG-based systems.
Key Skills for This Role
Responsibilities
- Design, build and deploy LLM powered applications, including RAG systems and AI agents
- Develop scalable backend systems using Python (FastAPI, Flask, Django)
- Architect and implement distributed systems and event driven applications
- Build and optimize AI workflows, orchestration pipelines, and multi step agent systems
- Establish best practices for AI model evaluation, monitoring, and observability
- Optimize AI systems for performance, cost, scalability, and reliability
- Design and implement secure APIs, authentication mechanisms, and integrations
- Work closely with cross functional teams to translate business requirements into AI solutions
- Lead code reviews, architecture discussions, and technical decision making
- Mentor engineers and drive engineering excellence across teams
Requirements
- Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field
- 10+ years of experience in software engineering, including experience in AI/ML systems
- Strong programming expertise in Python and modern backend frameworks
- Proven experience building and deploying production grade AI/ML systems
- Deep understanding of LLMs, embeddings, vector databases, RAG, and AI agents
- Hands on experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
- Experience designing scalable distributed systems and microservices architectures
- Strong knowledge of cloud platforms (Azure preferred), Docker, Kubernetes
- Experience in API design, security, and system integrations
- Strong understanding of AI system evaluation, monitoring, and failure handling
Full Job Posting
About Presight
- Presight, an ADX listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region’s leading big data analytics company powered by Artificial Intelligence (“AI”). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to crea
The Opportunity
- Presight is looking for an experienced, hands on and innovative Lead AI Engineer to design, build and deploy enterprise grade AI powered products and platforms. This role sits within the AI Studio and focuses on developing scalable LLM applications, AI agents, and RAG based systems.
Key Responsibilities
- Design, build and deploy LLM powered applications, including RAG systems and AI agents
- Develop scalable backend systems using Python (FastAPI, Flask, Django)
- Architect and implement distributed systems and event driven applications
- Build and optimize AI workflows, orchestration pipelines, and multi step agent systems
- Establish best practices for AI model evaluation, monitoring, and observability
- Optimize AI systems for performance, cost, scalability, and reliability
- Design and implement secure APIs, authentication mechanisms, and integrations
- Work closely with cross functional teams to translate business requirements into AI solutions
- Lead code reviews, architecture discussions, and technical decision making
- Mentor engineers and drive engineering excellence across teams
- Promote use of AI assisted development tools to improve productivity and delivery speed
- Continuously improve processes to enhance solution quality and efficiency
Requirements
- Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field
- 10+ years of experience in software engineering, including experience in AI/ML systems
- Strong programming expertise in Python and modern backend frameworks
- Proven experience building and deploying production grade AI/ML systems
- Deep understanding of Large Language Models (LLMs), embeddings and vector databases, Retrieval Augmented Generation (RAG), AI agents and multi step workflows
- Hands on experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
- Experience designing scalable distributed systems and microservices architectures
- Strong knowledge of cloud platforms (Azure preferred), Docker, Kubernetes
- Experience in API design, security, and system integrations
- Strong understanding of AI system evaluation, monitoring, and failure handling
- Ability to clearly communicate technical decisions and trade offs
Ideally, you’ll also need
- Experience in fine tuning and evaluating foundation models
- Exposure to multimodal AI systems
- Familiarity with GPU optimization and distributed training frameworks
- Experience building enterprise copilots, AI assistants, or autonomous workflows
- Knowledge of MLOps, CI/CD pipelines, and infrastructure as code
- Experience working with relational and non relational databases
- Contributions to open source or personal AI projects
- A passion for innovation and continuous improvement
What working at Presight offers
- Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground breaking, industry first innovations.
- Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high tech projects.
- Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
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