Presight is an ADX-listed public company, with Abu Dhabi-based G42 as its majority shareholder. As the region’s leading big data analytics company powered by GenAI, Presight combines big data, analytics, and AI expertise to serve every sector, creating business and positive societal impact. The organization excels in all-source data interpretation to support insight-driven decision-making that shapes policy and fosters healthier, more sustainable societies. Presight is committed to bringing Applied AI to both the private and public sectors, helping them realize their AI strategies and ambitions faster.
We are seeking an experienced and innovative AI Engineer to join our data analytics AI platform development team. This role serves as a bridge between robust software engineering and modern AI/ML capabilities. Ideal candidates should be seasoned backend or full-stack developers who have expanded their expertise into the AI/ML domain and are passionate about building intelligent applications with the latest AI technologies.
Responsibilities:
- Design and implement a robust and scalable inference layer for pluggable ML and LLM models as part of our in-house built data pipeline platform.
- Create agentic workflows to expose existing data transformations and analytics tools through a conversational interface, including integrating tools, prompt engineering, and conversation/context management.
- Manage Retrieval-Augmented Generation (RAG) pipelines with vector database integration and context enrichment.
- Ensure secure, robust, and observable model integration by implementing evaluation pipelines and monitoring mechanisms.
- Stay updated on emerging AI trends and advise on their applicability to our platform.
- Collaborate closely with product managers, data engineers, and software architects to shape and implement technical solutions.
- Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance policies.
Qualifications:
Required:
- Bachelor’s degree in computer science, machine learning, engineering, or a related field.
- 7+ years of experience in software engineering (backend or full-stack roles using Python, Java, or similar).
- Strong knowledge of data structures and algorithms.
- 3+ years of practical experience working with AI/ML models in production environments.
- Proven experience with LLMs (e.g., OpenAI, Anthropic, Hugging Face), vector search engines (e.g., FAISS, Weaviate, Qdrant), and ML inference frameworks.
- Solid understanding of prompt engineering, embeddings, RAG, and model fine-tuning or customization.
- Familiarity with context/session management, multi-turn dialogue systems, and AI agent frameworks.
- Experience building evaluation frameworks for model performance and behavioral reliability.
- Knowledge of security, privacy, and ethical considerations in deploying AI solutions.
- Demonstrated passion for AI innovation and continuous learning.
Preferred:
- Experience with MLOps, deployment of models at scale, or fine-tuning custom models.
- Familiarity with LangChain, LlamaIndex, OpenAI function calling, or similar frameworks.
- Exposure to front-end development is a plus for full-stack candidates.
- Contributions to open-source AI projects or research is a bonus.
- Experience with deep learning frameworks (PyTorch) for various applications (NLP, image, video, audio, recommendation systems).
What We Look For:
We seek performance-driven, inquisitive minds with the agility to adapt to ambiguity. Ideal candidates will desire to build meaningful collaborations with stakeholders and create unique customer-centric solutions. A bias for action and a passion for conquering new frontiers in the AI space are at the heart of the Presight community.
What Working At Presight Offers:
- Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on industry-first innovations.
- Career: Opportunities for accelerated career growth through high-impact projects and continuous learning resources.
- Rewards: A competitive remuneration package with perks including healthcare, education support, leave benefits, and more.
