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Design and deploy AI systems using LLMs, generative AI, and agentic frameworks to build autonomous decision-making tools and retrieval-augmented pipelines in cloud environments.
Design and build AI-powered systems that automate software delivery workflows, integrating agentic AI into R&D, product management, and DevOps toolchains.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1…
Leads AI-driven product strategy for autonomous agents, LLMs, and data monetization, collaborating with engineering and business teams to build B2B/B2B2C solutions in finance and enterprise domains.
Build and maintain AI-assisted CI/CD pipelines and developer tooling in a .NET/Vue.js stack, deciding when to use deterministic automation versus LLM-driven agent workflows.
Build AI-driven workflows that automate software development tasks like code analysis, dependency discovery, and documentation generation using agentic frameworks and coding models.
Build and deploy scalable AI-powered backend systems using Python, FastAPI, and RAG with agentic workflows, vector search, and LLM integrations for enterprise use.
What We Do CarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics…
Build and deploy AI-powered solutions, including copilots and RAG systems, while integrating with enterprise tools like Microsoft 365 and AWS.
Build and scale AI-powered integration and migration tools for a global bank, designing reusable components, APIs, and agentic workflows using LLMs, RAG, and cloud services.
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic systems while translating business needs into technical solutions.
Build full-stack AI agent tools on Salesforce’s Agentforce platform, integrating LLM workflows and multi-agent systems with modern React/TypeScript frontends and Java/Python backends.
Build AI-powered memory retrieval systems and multi-agent pipelines that extract, index, and rank conversation history for personalized LLM responses.
Summary We are seeking a senior Sr. Dynamics 365 Engineer to design and deliver full‑stack solutions that extend and integrate Dynamics 365 (CE and/or F&O) with the Power Platform. This role focuses on building…
Leads the product strategy and roadmap for AI-native security features like Agent Control and NHI Governance, translating threat research into requirements for securing AI agents and workloads in a cybersecurity SaaS company.
Leads AI security product strategy and team at a cybersecurity SaaS company, defining multi-year roadmaps and representing the firm externally while driving cross-functional alignment.
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Build and own a full-stack app with Angular UI, .NET APIs, SQL Server, and automated tests, while integrating agentic AI workflows using third-party LLMs and orchestration frameworks.
Designs AI-driven web apps by integrating LLMs, vector search, and real-time data; leads cloud-native architecture and full-stack development (Python + React) for production-ready solutions.
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
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