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Build forecasting models and LLM pipelines to predict tax-compliance workloads, then translate insights into clear narratives for leadership using Prophet, embeddings, and Snowflake.
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
Build and maintain AI-powered data pipelines in Azure Fabric, integrating OpenAI APIs to process, classify, and analyze large datasets for business use cases.
Design and build scalable data pipelines and infrastructure to power an enterprise AI platform that delivers human-quality interactions via voice, video, and text in 50+ languages.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power analytics and AI products, using SQL, Python, cloud tools, and modern orchestration like Airflow.
Build and scale an enterprise AI platform that powers real-time competitive intelligence and sales automation via voice, video, and text in 50+ languages using LLMs, RAG, and cloud-native infrastructure.
Build and scale the enterprise AI platform that powers real-time competitive intelligence and human-quality AI agents across voice, video, and text in 50+ languages.
Design and build scalable data pipelines and infrastructure for an enterprise AI platform that powers real-time competitive intelligence and multilingual AI agents.
Build and run backend systems that power AI features, focusing on inference pipelines, orchestration, and low-latency APIs for mobile and desktop clients.
Build and evolve full-stack products using React/TypeScript and Node.js, integrating AI tools for code, tests, and docs while applying security best practices.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build AI-powered data platform tools (React UIs, Python APIs, vector stores) that let users explore and query financial data in natural language while ensuring security and correctness in a regulated environment.
Design and implement AWS-based data and AI platforms for APAC clients, ensuring scalable, compliant solutions that drive business outcomes.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Build next-gen AI-powered security tools by designing multi-agent systems in Python, integrating with security tools via MCP, and developing RAG pipelines for autonomous pentesting and remediation.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Design and operate PostgreSQL clusters and vector search systems to power Kraken’s crypto exchange and AI features, focusing on performance, reliability, and automation.
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