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About this role At BlackRock, technology is the foundation of our business. As a VP, Application Engineer, you’ll lead by example — architecting, coding, and mentoring teams to build resilient systems that power our…
Lead the enterprise AI architecture strategy for a global fintech firm, defining standards for generative AI, LLMs, and agentic systems while ensuring compliance and security in a regulated financial environment.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
Develops and deploys generative AI and deep learning solutions for Citi’s Treasury & Trade Services, extracting insights from unstructured data (emails, call transcripts) to drive client experience and revenue growth. Core focus: end-to-end AI product delivery, LLM fine-tuning, RAG systems, and MLOps for production-grade GenAI.
Build and integrate AI-powered solutions on the ServiceNow platform, leveraging Agentic AI, LLMs, and custom MCP tooling to automate workflows and enhance digital experiences.
The Quantexa Systems Analyst will manage business requirements and design solutions for banking systems, with a specific focus on integrating Agentic AI and GenAI architectures. The role involves collaborating with stakeholders and technical teams to implement LLM-based solutions using Python and modern AI frameworks.
This role involves developing web applications using React, Next.js, and Node.js while integrating AI tools and agentic workflows into the development process. The position focuses on building software in an AI-driven environment with a strong emphasis on continuous learning and mentorship.
The Lead Technical Product Owner will drive the development of agentic harnesses and AI-powered tools for Salesforce's internal Solution Engineering and Builder teams. This role involves managing enterprise-level backlogs, aligning AI strategy with business needs, and bridging the gap between core technology and field requirements.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Staff Software Engineer leading the technical vision for CommSec's contact centre modernisation, designing scalable cloud-native solutions with .NET, React, TypeScript, AWS, and Microsoft Dynamics 365.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
The Senior Python Developer will design and maintain scalable full-stack web applications using Python frameworks like Django or FastAPI. The role involves managing PostgreSQL databases, cloud infrastructure, CI/CD pipelines, and mentoring junior team members.
Job Summary Lead the testing and quality assurance workstream for an AIDriven Development Lifecycle DLC Proof of Concept POC ensuring the quality reliability and effectiveness of AI powered capabilities across the…
This role involves leading the development of scalable advertising platform systems using Java, GCP, and advanced AI-augmented workflows. The engineer will own the full SDLC, integrate LLM-based solutions, and mentor team members to drive technical excellence.
Machine Learning Engineer building backend components and tooling for scientific LLM agents in Roche's drug discovery team, using Python, FastAPI/Flask, Docker, and CI/CD to connect models to internal scientific capabilities.
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