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Build AI-powered SaaS products and GenAI solutions using full-stack web tech, LLMs, and data engineering, shipping features from frontend to backend in a hybrid role.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Builds and enhances full-stack AI-powered products for Deloitte, integrating GenAI and agentic systems while collaborating with cross-functional teams to deliver high-quality, outcome-focused solutions.
Build the core platform for a governance layer that turns operational data into trusted, explainable financial outputs using AI and human workflows, with Python, FastAPI, React, and AWS.
Designs and deploys AI-powered solutions for government clients using Microsoft’s AI stack, embedding with teams to prototype and deliver GenAI-enabled tools that drive measurable impact.
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is…
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 Marketing & Communications Job Details About…
Builds high-scale, enterprise Java backends and integrates generative AI/LLMs to ship production-grade systems rapidly, leveraging tools like Spring Boot, Kafka, and vector databases.
Forward Deployed Engineer (AI) partners with business teams to design, build, and deploy AI solutions, improving productivity and automating processes across various functions. Core technologies include Large Language Models, AI agents, and cloud platforms.
The application window is expected to close on: 07/24/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The AI Hyperspecialist…
Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services — and this is the role that leads it. The Head of AI Solutions is a newly created,…
Lead the design, build, and deployment of AI/ML and Generative AI solutions at a global pension plan, using Azure AI Foundry, LLMs, and MLOps pipelines to deliver business outcomes.
Maintains IT systems and deploys AI tools like MCP servers and SaaS AI features, splitting time 80% on AI enablement and 20% on traditional sysadmin work.
Designs and maintains cloud-based data pipelines and builds LLM-powered AI agents and generative AI applications for clients, working across the full stack from ETL to retrieval-augmented systems.
Design and deploy ML solutions using AWS’s Neuron SDK, Inferentia, and Trainium accelerators for strategic customers, while driving adoption and thought leadership in cloud-based AI infrastructure.
Build and deploy autonomous AI agents to automate multi-step workflows in testing, inspection, and certification operations using LLMs, Python, and modern APIs.
Lead the design, piloting, and scaling of AI solutions (e.g., generative assistants, RAG chat agents) for a global service organization, mentoring teams and aligning AI use with mission-driven goals.
Designs and builds enterprise-grade backend services and AI-powered applications using Java, Spring, Python, and AWS, while integrating LLMs and agentic AI workflows for a global financial services firm.
Leads AI quality engineering for Mastercard’s generative AI, LLM, and agentic systems, designing evaluation frameworks, red-teaming strategies, and LLMOps quality gates to ensure accuracy, safety, and reliability.
Senior AI Engineer at Mastercard designs and builds enterprise-scale generative AI systems, multi-agent orchestration, and multimodal pipelines using LLMs, RAG, and agentic frameworks to drive data-driven business insights.
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