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Software Engineer - AI Platform
Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain, CrewAI) and vector/RAG systems to power enterprise AI applications with multi-cloud deployment.
LLM + Ontology Software Engineer
Builds and integrates LLMs with ontologies and knowledge graphs to create AI-powered reasoning systems for government clients, using Java, Python, and semantic technologies.
[인턴] AI Engineer
Build scalable data lakehouse pipelines and agentic AI systems that transform unstructured industrial data (CAD, PDF, images) into structured datasets for VLM/LLM training and multi-agent simulations.
Data Scientist
Build and deploy ML/AI models for government clients, focusing on predictive analytics and data-driven decision support using Python, SQL, and frameworks like PyTorch and TensorFlow.
Global AI/ML Backend Engineer for i18n & LLM
Builds backend services for AI-driven localization workflows using Python, Node.js, and TypeScript, integrating LLMs to improve translation quality on Omnissa's digital work platform.
AI Data Engineer (Ontology & Knowledge Base)
Build and maintain an ontology and knowledge graph to turn mobility/logistics data into a machine-readable knowledge base that powers Agentic AI systems and provides actionable insights.
Engineering Senior Manager
Senior Engineering Manager, Identity Graph & Signals Engineering You are a senior engineering leader with strong technical judgement, people leadership capability and experience across identity, data, AI and…
Senior Engineer, Platform Engineering and Architecture
Lead the architecture and engineering of a bank-grade AI & Agentic Platform, designing agentic runtimes, LLM gateways, identity layers, and cloud-native infrastructure to support secure, scalable agent workflows across the enterprise.
Software Engineer - Data Engineering
Build and maintain scalable AWS data pipelines and Snowflake warehouses using Python, SQL, and graph/vector databases to support analytics and AI workloads.
Senior Software Engineer - Data Engineering
Build and maintain scalable data pipelines on AWS and Snowflake, integrating vector/graph databases with AI workflows using Python and SQL.
Lead Software Engineer- Data Engineer
Leads a team to design and build a scalable AWS/Snowflake-based data platform for manufacturing, supply chain, and engineering data—focusing on ingestion, transformation, and real-time analytics pipelines.
AI Architect - Modern AI Applications
Design and build scalable AI platforms for healthcare, focusing on LLMs, RAG, multi-agent systems, and model routing to improve clinical decision-making and patient care.
Senior Artificial Intelligence/Machine Learning Engineer
Builds and optimizes AI/ML pipelines for automated code documentation, focusing on LLM inference, RAG, and NLI validation to process a 400K+ LOC industrial automation codebase with strict accuracy and latency targets.
Data Scientist, AVP
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Data Engineer
Builds AI-assisted data pipelines to parse undocumented industrial codebases into structured documentation using Python, Neo4j, Qdrant, and LLMs.
Senior Staff Product Manager, AI Knowledge Graph & Intelligence
Lead the AI Knowledge Graph product, defining roadmaps and requirements to connect enterprise data into a semantic layer that powers search, analytics, and agentic AI workflows across Cisco’s platforms.
Principal Technical Architect
Principal Technical Architect designs and implements enterprise-grade AI agent systems for Workato’s iPaaS platform, advising customers on AI strategies while building internal autonomous systems.
Staff Backend Engineer (Python)
Build and scale a distributed cloud-security platform in Python, working with Neo4j, ElasticSearch, TimescaleDB, Redis and RabbitMQ across AWS, GCP and Azure.
Full Stack Developer
Builds full-stack web apps on cloud infrastructure for AbbVie’s internal tools, using JavaScript frameworks (Angular/React/Vue), server-side languages (Python/Node/Java/.Net), and databases (Oracle/PostgreSQL/Neo4J/MarkLogic).