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Build full-stack web apps and integrate AI features using modern stacks (React, Node.js, Python, Java/Spring Boot) and cloud platforms (AWS/Azure/GCP), while leveraging AI coding assistants daily.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Build scalable data pipelines and AI-facing integrations to power an enterprise data platform and Agentic AI systems using Python, SQL, cloud platforms, and vector databases.
Build and own the core architecture of ThrivoOS, a platform for founder-led wealth managers, combining event-sourced backend, AI workflows, and regulatory-grade compliance under MiFID II and BaFin.
Build a data-driven Creative Engine for a performance ad agency: design pipelines, LLM video analysis, and semantic search to turn ad performance into queryable insights for strategists.
Build production-grade AI systems and data pipelines end-to-end, from schema design and ETL to FastAPI services and Next.js frontends, using AI coding agents as a daily accelerator.
Build and maintain an AI-driven platform that automates product data categorization and enrichment using Java/Spring Boot, Python, Kafka, and LLMs on Azure Kubernetes Service.
Designs and deploys secure, scalable agentic AI systems (multi-agent architectures, RAG, tool orchestration) for enterprise clients, ensuring reliability, observability, and compliance with safety policies while driving measurable business impact.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
Build and lead an enterprise-scale AI platform that powers compliant, on-brand marketing content generation using RAG, vector search, and prompt MLOps for Capital One’s marketing systems.
Build and scale backend systems and data pipelines that integrate AI/ML into FICO’s fraud and decision platforms, using Python/Go/Java, Spark, Kafka, and vector databases.
Design and build scalable AI-powered backend systems using Python, Django/FastAPI, and LLM APIs, with real-time features and vector embeddings for context-aware responses.
Build production-grade AI apps using LLMs, RAG, and Agentic AI on AWS; develop secure Python services, containerized microservices, and Kubernetes deployments for public-sector initiatives.
Build an AI-native contract performance platform using Laravel, React, and LLMs to turn contracts into real-time financial intelligence for European mid-market businesses.
Senior backend engineer building AI-powered legal workflows that review contracts in Word and the browser using retrieval, RAG, and multi-step pipelines.
Build and maintain an AI-powered content platform that ingests textbooks and manifests, converts them to structured data, and serves them via APIs for downstream apps like a teacher assistant.
No other company in our industry is supercharging the way they work and serve their clients like OneDigital. Fresh thinking has always been the core of OneDigital’s vision and growth strategy. It’s how we stand out in…
Principal Data Architect and Manager leads the design and operation of Apple’s petabyte-scale data backbone, defining real-time architectures for entity resolution, multimodal ingestion, and LLM-powered enrichment that power personalized experiences across Apple platforms.
Lead the design and operations of Apple’s real-time data platform, building ETL/ELT pipelines, multimodal data processing, and ML inference integrations to power intelligent search and analytics.
Build and deploy production-grade LLM-powered services at scale, owning MLOps/LLMOps pipelines, inference optimization, and safety guardrails for Apple’s AI features.
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