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Build and deploy LLM-based AI systems for banking, focusing on compliance and risk workflows with Python and ML/AI tooling.
Senior Solutions Architect embeds with clients to design and build production-grade GenAI systems in Python, owning architecture, trade-offs, and direct client communication.
Senior Solutions Architect embeds with clients to design and build production-grade Python and GenAI systems, owning architecture decisions and direct client communication.
Build and deploy enterprise-grade generative AI solutions for public-sector clients in the Middle East, integrating LLMs and RAG pipelines with cloud infrastructure.
Designs and builds Retrieval-Augmented Generation (RAG) and agentic AI systems for HR, finance, and operations, integrating GenAI into enterprise workflows.
Design and build enterprise-grade AI systems using RAG, agentic workflows, and cloud platforms for HR and finance domains.
About the Role You’ll work alongside experienced engineers to improve our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. You’ll…
Senior AI Engineer builds and deploys consumer-facing AI systems on GCP: ML pipelines, LLMs, RAG, and recommendation engines using Python, BigQuery, Vertex AI, and vector search.
Build and deploy AI solutions on GCP for a global consumer-goods and retail company, using Python, BigQuery, Vertex AI, and LLMs to power customer analytics, personalization, and marketing systems.
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Build and deploy agentic AI systems and LLM-powered applications for a global insurer, focusing on RAG, multi-agent orchestration, and robust MLOps pipelines.
Build and maintain data pipelines, clean and structure financial data, and integrate GenAI solutions like LLMs and RAG for a banking-focused project using Python, SQL, and ETL/ELT.
Senior Data Engineer builds scalable pipelines, modernizes LLM architectures, and implements RAG systems to enhance data quality and enable advanced analytics for a telecom group.
Build autonomous AI agents and RAG systems to automate marketing workflows, integrating LLMs, vector databases, and cloud platforms like GCP/AWS.
Lead backend engineering for an AI-native HR platform, building agentic systems that automate hiring, onboarding, and employee operations using Python, LLMs, and conversational AI.
Lead a full-stack team building AI-powered products using Python, Node.js, React, and cloud services (AWS/Azure), with a focus on RAG systems, LLMs, and LangChain.
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
Build and maintain Python-based APIs and backend services for an AI company, using FastAPI/Django/Flask, async programming, and cloud tools like AWS/Azure.
Design and scale real-time data pipelines for AI systems, focusing on RAG, vector databases, and semantic layers to power agentic reasoning in enterprise environments.
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