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Partner Solution Architect (AWS)
Evangelize Supabase’s Postgres-based backend platform to AWS Solutions Architects via workshops, demos, and content, driving adoption and co-sell opportunities.
Data Architect IV
Designs enterprise-scale data architectures that blend traditional infrastructure with graph-based semantic modeling and W3C standards to power AI reasoning and GraphRAG systems for federal missions.
Software Developer II - Indoor GIS AI and Reality
Develop AI-powered indoor mapping and navigation tools using computer vision, 3D graphics, and geospatial software in C++, .NET/C#, and Python.
Sr. Software Development Engineer - Indoors GIS AI and Reality
Senior engineer building AI-powered indoor mapping and 3D reality systems using C++, C#, Python, and geospatial tech to automate indoor navigation and emergency response workflows.
Applied Scientist / Machine Learning Engineer
Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
Data & MLOps Engineer (Mid-level) m/f
Build and maintain production-grade data pipelines and MLOps workflows, containerize workloads, and deploy scalable ML services in Azure/AWS.
Senior Elasticsearch & Cloud Engineer (m/f)
You’ll design, deploy, and optimize large-scale Elasticsearch-based search platforms on Azure/AWS, lead engineering standards, and mentor teams while building cloud-native observability and ingestion pipelines.
Staff AI Data Engineer
Lead the design and deployment of scalable AI/GenAI solutions and petabyte-scale data platforms, from ingestion to production, using cloud, Spark, Databricks, and Snowflake.
Big Data Engineer, Web3
Build and maintain the distributed data platform (Spark, MaxCompute, Hologres) that powers OKX’s crypto exchange, and integrate LLM-driven agents for scheduling, cost optimization, and incident response.
AI Principal Architect
Designs end-to-end agentic AI platforms, integrating LLMs, RAG pipelines, and enterprise systems with security and governance guardrails.
AI Data Engineer
Builds secure, AI-ready data pipelines and retrieval systems for enterprise GenAI agents, focusing on ingestion, normalization, vector search, and governance across tools like SharePoint, Git, and monitoring systems.
AI Agent Engineer
Design and build AI agents and workflows using frameworks like LangChain and LangGraph to automate IT service management tasks such as ticket triage and SLA tracking.
Forward Deployed AI Engineer
Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Machine Learning Engineer, AI Research
Research and build systems that make AI agents portable across models, providers, and environments, focusing on routing, memory, interoperability, and evaluation.
Senior RAG Engineer
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
RAG Engineer
Build Retrieval-Augmented Generation systems that combine LLMs with enterprise knowledge, designing vector search pipelines and document ingestion to deliver accurate, context-aware AI responses.
LLM Platform Engineer/Lead
Build and lead the internal AI platform: design LLM frameworks, prompt management, evaluation, and observability systems to enable teams to ship AI-powered features reliably.
Data Scientist - AI-Enablement (Public Sector)
A Data Scientist focused on AI/ML for government communications and services, specializing in NLP, generative AI, and model evaluation to improve public-facing platforms and user trust.
Senior Applied AI Engineer
Build production-ready AI apps for enterprises using LLMs, RAG, AI agents and workflow automation, integrating them into existing systems.
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.