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Designs and maintains production-grade data pipelines for AI/ML and RAG systems, focusing on ingestion, transformation, and vector search infrastructure (pgvector, Pinecone). Ensures data governance, compliance, and quality for regulated sectors like healthcare and government.
Senior Data Engineer building AI-ready data pipelines, RAG/vector search infrastructure, and data governance solutions using Python, Airflow, Kafka, and vector databases like pgvector and Pinecone.
Develops and maintains MCP servers in Quarkus, enabling AI capabilities like tools, resources, and prompts while integrating with DataHub APIs and ensuring secure, observable, and governed AI interactions.
Leads ML strategy for SoundCloud’s recommendation, personalization, and search systems, architecting large-scale models to connect artists and fans via music. Focuses on AI-native engineering, LLM-assisted workflows, and team leadership.
The Principal AI Software Developer leads the design and implementation of large-scale, mission-critical AI and LLM systems for federal agencies using a modern cloud stack including Next.js, Terraform, and major cloud providers. This hands-on role involves architecting AI solutions, establishing MLOps practices, and ensuring compliance with federal security and AI policy standards.
This role involves building full-stack web applications integrated with Generative AI and LLMs to support research and data-driven decision-making. The engineer will work across the stack using React, Next.js, TypeScript, Python, and FastAPI to develop scalable, AI-enabled solutions.
Theia Insights builds foundational financial intelligence products, delivering industry classification and factor risk datasets for institutional investors. As a Data Engineer on the Data Products team, you will own…
Senior Data Engineer focused on LLM & RAG architectures for a major telecom group, designing scalable data pipelines, optimizing vector databases and RAG solutions, and building AI services with FastAPI using Python, SQL, Spark/PySpark on Azure/Databricks.
Senior Backend Developer joining the founding team of a Generative AI hub in Valencia, building an Agentic AI platform on Azure using Node.js or .NET 8 with vector search, LLM pipelines, and multi-layer storage.
This role involves building large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines for a US-based cybersecurity SaaS platform. You will join a founding R&D team in Ho Chi Minh City, utilizing Python, Go, and various cloud and database technologies to develop AI-ready security infrastructure.
Senior Software Engineer designing and building large-scale distributed backend systems, graph-based data models, and high-throughput data pipelines for a SaaS cybersecurity and Agentic AI platform, using Python and Go.
Senior Software Engineer II at LexisNexis Risk Solutions in Mumbai, building and maintaining software for AML, fraud, and identity verification products using Python, LLM/RAG pipelines, SQL Server, and AWS.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
The Senior Software Engineer II will design and develop software solutions for risk assessment products, focusing on RAG pipelines, LLM integration, and cloud-native development. The role involves mentoring team members and collaborating across functions to deliver secure, high-impact applications.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Lead a team building cloud services and APIs for Amazon’s satellite internet network, Leo, focusing on low-latency analytics and AI-driven decision-making across globally distributed systems.
The AI Interaction Engineer will lead the strategy and design of prompt patterns, agentic workflows, and LLM-based application architectures. This role focuses on building reusable design patterns, evaluation frameworks, and developer tooling for LLM-powered products.
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