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AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.…
Leads AI cybersecurity governance and controls for the Australian government’s ICT environment, designing frameworks for threat detection, risk mitigation, and compliance with frameworks like PSPF, ISM, and NIST. Focuses on Microsoft 365 tools (e.g., Purview, DLP) and emerging AI threats like prompt injection.
Software engineer owning backend and AI-systems engineering for Lantern, an AI-powered fundraising copy platform, focusing on prompt architecture, evaluation frameworks, guardrails, GCP infrastructure, and full-stack development with React/TypeScript, Postgres, and LLM API integrations.
As founding AI Engineer at Alago, you build multi-agent systems that solve problems nobody has an answer to yet. You work inside a startup environment that needs you to take a high amount of ownership. Activities The…
Builds AI-driven insurance workflows for a regulated fintech startup, focusing on agentic systems, durable execution, and measurable LLM behavior in production.
Location: Our office is based in Williamsburg, Brooklyn, NY, and we are in-office 3 days per week. Swayable is a fast-growing AI and automated data science platform that measures public opinion, and the impact of…
Builds AI-driven workflows for insurance claims, focusing on agentic systems, durable execution, and measurable model improvements in a regulated environment. Core work includes designing agentic workflows, ensuring system reliability, and optimizing LLM behavior with rigorous testing and observability.
Build and deploy full-stack applications and AI-powered workflows using Python, JavaScript, and Go, integrating LLMs and cloud services in a fast-paced Singapore-based engineering team.
Staff Software Engineer on Intuit's Development Productivity team, building AI-powered agentic platforms and workflows (code analysis, generation, automated review) using LLMs, AI frameworks, and OOP languages.
The Lead Data Scientist will oversee the enterprise AI strategy, managing teams focused on Generative AI, MLOps, and machine learning applications for HVAC and data center operations. This role involves leading the end-to-end AI lifecycle, from experimentation to production, while aligning technical initiatives with business goals.
The Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Data Science Engineer will develop and implement Agentic AI solutions and mathematical models to optimize supply chain and business operations. The role involves building autonomous systems using frameworks like LangGraph and integrating LLM APIs to deliver actionable insights and data-driven products.
This role involves designing and operating high-throughput, cloud-native backend services for CrowdStrike's vulnerability assessment platform. The engineer will work with distributed systems, event-driven architectures, and integrate agentic AI capabilities into production security workflows.
Design and build agentic AI solutions—LLM-powered agents, RAG pipelines, and workflow automation—integrated with CRM/PMS systems for a property portfolio platform, using Python/C#/TypeScript, vector databases, and frameworks like LangChain or Semantic Kernel.
Senior full stack engineer building a secure AI-first cybersecurity SaaS platform for SMEs, working across React/TypeScript frontend, Node.js backend, PostgreSQL, Azure cloud, and LLM integrations (OpenAI, Claude) with strong emphasis on secure coding and AI cost optimization.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
Build and maintain Python-based backend services and AI-powered chatbots, integrating LLMs and RAG workflows to deliver scalable, production-grade applications.
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Develops and deploys AI-powered legal tools by designing experiments, evaluating LLM/ML models, and prototyping agentic systems for legal research, drafting, and decision-making.
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