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Senior engineer at Concord, an Auckland immigration-tech startup, building features across a TypeScript/React/PostgreSQL platform — drafting tools, LLM-powered review systems, and HRIS integrations — while working with the CTO on data isolation and controlling what sensitive immigration data is exposed to language models.
Backend-focused engineer at CUB (a proptech automating receivables management for real estate) who turns recurring operational exceptions into software and progressively autonomous agents. Day to day: building Node.js/NestJS services on event-driven AWS (Lambda, SQS, EventBridge) and AI agents using generative AI, tool calling, MCP, and evals.
Designs and modernizes financial illustration applications, leading cloud migration to Azure microservices and setting engineering standards for a wealth-management platform.
Mid-level Data Engineer at Qeevo building and maintaining the end-to-end data platform: ingestion and transformation pipelines from transactional databases, ERP, CRM, media platforms and APIs, evolving a bronze/silver/gold architecture in Databricks with dbt, plus monitoring, data quality and a legacy platform migration. Core stack: SQL, Python, Spark/PySpark, AWS and Git.
Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Lead the architecture of real-time, mission-critical C2 software for military battlespace awareness, using modern C++/Rust and advanced algorithms like state estimation and sensor fusion.
Job Overview Harlem Group, a dynamic multinational company founded in 1995, is seeking a dedicated and skilled IT Support Specialist to join our growing team. Originating as an automotive agency, Harlem Group has…
Build AI-powered agentic modeling and simulation systems for military planning, integrating LLM tool use, physics-backed simulation, and real-time analysis to shorten planning cycles.
GeoEngineers is seeking a Senior Environmental Engineer, Scientist, or Geologist for our Boston, MA office. As a Senior member of our Environmental Discipline, you will provide technical leadership on environmental and…
Staff-level, hands-on security engineer who owns security architecture and controls for Brookfield Real Estate's AWS cloud and AI platforms: building reusable Terraform security modules, hardening GitHub Actions supply chains, designing least-privilege access via Okta/IAM, and threat-modeling web apps and agentic AI systems.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our…
Senior full-stack engineer at ServiceNow in Hyderabad building customer-facing frontends (React/Angular), Java/Python backend services, and Kafka/ClickHouse data pipelines deployed on Kubernetes, with a growing focus on integrating LLM- and agentic-AI features into products. Requires 6+ years of professional engineering experience.
Software engineer on Apple's Build Support Engineering team, modernizing the internal build, deployment, and hotfix infrastructure used by hundreds of Apple Service Engineering developers — migrating legacy monorepo tooling to containerized multi-repo workflows and building agentic AI systems that triage and debug build failures. Core stack: Java, Python, Kubernetes, CI/CD, and LLM/agent tooling.
Founding engineer at an early-stage B2B SaaS pricing intelligence startup, owning LLM infrastructure: eval harnesses, automated expert-review workflows, simulated buyer personas, multi-provider model routing, and an MCP server for agent-driven pricing features. On-site in Amsterdam; $225k–$255k USD.
Design and maintain automated tests for a cybersecurity SaaS platform, integrating AI tools and CI/CD pipelines to validate features and security workflows.
Design and implement production-grade agentic AI systems (LLM-powered agents, RAG, multi-agent patterns) for enterprise clients, ensuring reliability, security, and measurable business outcomes.
Build and deploy production-grade agentic AI solutions like RAG pipelines and multi-agent workflows for enterprise clients, integrating with systems like CRM and ERP using Python and cloud-native AI platforms.
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Design and lead end-to-end AI solutions for enterprise clients, translating business goals into scalable, production-grade AI systems while collaborating with cross-functional teams.
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