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Senior Software Engineer
Builds cloud-native, full-stack products (React/Node.js/PostgreSQL) for a venture-funded startup focused on real estate automation, integrating generative AI (LLMs, vector DBs) and DevOps pipelines to streamline strata management workflows.
AI Engineer
Design and develop AI-driven features using ML, GenAI, and LLMs; build scalable cloud-native AI systems, RAG pipelines, and conversational AI.
Senior AI Engineer
Design and build AI systems for private equity clients, including agentic workflows and RAG pipelines, using Python and LLM frameworks in a fast-paced hybrid role.
AI Product Manager
AI Product Manager designs and delivers AI-powered financial consulting tools for private equity clients, translating complex finance problems into technical requirements using agentic AI, RAG pipelines, and sprint-based delivery.
Senior rag engineer - enterprise ai & vector search lead
MCI is seeking a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms powering enterprise AI solutions. The role focuses on semantic search, vector databases, information…
Senior ai engineer — agentic systems & knowledge graphs
Build a company-wide AI fabric with retrieval, knowledge graphs, and agentic systems to deliver real-time, traceable insights from documents, tickets, and transactions.
Senior ai software engineer - midrand / hybrid - r900k pa
Senior AI engineer building and scaling production-grade AI-enabled backend systems, integrating LLMs, RAG, and vector databases in a distributed, secure environment.
Ai platform engineer
Build and operate modern developer platforms, including AI/ML infrastructure like GPU clusters and model-serving pipelines, while advising clients on AI readiness and best practices.
Data/ai architect (databricks)
Design and govern enterprise AI architectures on Databricks, including MLOps, RAG pipelines, and Unity Catalog governance, while aligning with business objectives and compliance.
Ai engineer
Job Description Our client is seeking an experienced AI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The successful…
Ai engineer
Design, develop, and deploy AI/ML models, generative AI apps, and intelligent agents using Python, TensorFlow, and PyTorch in cloud environments.
Data scientist (generative ai experience)
Data Scientist (Generative AI Experience) About the job Data Scientist (Generative AI Experience) Job Summary We are looking for a talented and innovative Data Scientist specializing in Generative AI to join our team.…
Ai platform & devops engineer
Builds and maintains cloud infrastructure, CI/CD pipelines, and observability for enterprise AI platforms, ensuring secure, scalable deployments from proof of concept to production.
General Pipeline - FullStack Applied AI Engineer
Build full-stack AI-native products, including agentic apps, RAG systems, and LLM workflows, using Python, Node.js, React, and Next.js.
Senior Full-Stack Software Engineer (2 Positions)
Build and maintain a serverless AWS backend, PHP/Laravel web app, and Flutter mobile apps for an intelligent energy-management platform, integrating AI features.
Data Science & AI Lead
Lead AI and machine learning initiatives, building predictive models and GenAI/LLM solutions to drive retail and FMCG insights and automation.
AI Engineer, Asia (12 months contract)
Builds and deploys GenAI applications using LLMs, fine-tuning models, and integrating MLOps pipelines for production systems like chatbots and document analyzers.
Senior Software Engineer
Build a field-force automation platform with .NET, React, Flutter, and Python, integrating Agentic AI features like RAG and vector search.
Data Scientist (Manager/Senior Manager)
Lead AI/ML projects for EY’s clients, designing and deploying GenAI models (LLMs, vector DBs) and traditional ML solutions using Python, cloud platforms, and MLOps pipelines.
Data Science & GenAI Lead: Build Predictive Engines
Lead predictive modeling and GenAI initiatives, building churn/LTV models and LLM-powered tools while setting evaluation standards and driving business adoption.