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Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
About ExTrac ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated…
Own SQL Server databases and ETL pipelines, tune performance, and build vector-aware data stores to power AI features for an aerospace manufacturer.
Design and implement AI security controls, threat detection, and incident response for Absa’s AI/ML systems, including LLMs, agentic AI, and MCP ecosystems, while hunting for adversarial threats.
Senior Generative AI Tester builds and automates test frameworks for LLM-based airline systems, validating accuracy, safety, and performance of AI agents and conversational AI used in airline operations.
Build and improve AI-powered products using LLMs, agentic frameworks, and vector databases to solve business problems across fintech, healthcare, and other industries.
Build and deploy AI-powered expert systems for legal, tax, and compliance using RAG, custom agents, and MLOps/LLMOps pipelines in Python and cloud environments.
Designs enterprise AI solutions, leads customer workshops, and architects scalable GenAI/LLM platforms on GCP, focusing on RAG, AI agents, and responsible AI practices.
Oversee independent security validation for an organization’s AI/LLM ecosystem, conducting adversarial testing and control assessments to ensure models, APIs, and infrastructure are secure and compliant before deployment.
Leads independent security assurance for an organization’s AI/LLM ecosystem, conducting adversarial testing, validating controls, and ensuring AI solutions are secure, compliant, and production-ready.
Build and deploy production AI features using Python, FastAPI, LangChain, and vector databases, integrating with LLMs for scalable agent systems.
Senior engineer building AI features end-to-end—from prototype to production—across full stack, AI layers, and healthcare domain, using agentic tools like Claude Code and modern frameworks.
Build and deploy production-grade AI systems using RAG, agentic frameworks (LangGraph, AutoGen), and vector search (Azure AI Search, pgvector) with Python and cloud tools.
Secure AI systems by identifying and mitigating risks like prompt injection, jailbreaks, and data leakage in LLMs, RAG pipelines, and AI agents while enforcing responsible AI governance.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Senior AI Engineer designs and deploys enterprise AI systems using TensorFlow, PyTorch, and LLM APIs, building scalable ML pipelines and computer vision/NLP solutions for fintech and healthcare clients.
Lead the design, optimization, and deployment of AI/ML models on AWS, using SageMaker, Bedrock, and vector databases to build scalable, cloud-native solutions.
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