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Build and deploy AI-powered agents that integrate with Microsoft ecosystems (Teams, Dynamics 365, Graph) using C#/.NET, Azure OpenAI, and MCP servers to solve enterprise customer-service automation challenges.
Build and scale backend services for Constructor’s AI-powered e-commerce search platform, focusing on ML infrastructure, model serving, and distributed systems.
AI Security Consultant advising clients on cyber security risks across cloud, identity, applications, data, operations, and governance, with a focus on AI-enabled applications, LLM integrations, and agentic systems. Responsibilities include assessing AI security risks, designing controls, and helping organizations use AI to enhance security operations.
Build and maintain AI/ML integrations for ClickHouse, including Python connectors, vector stores for RAG, and feature stores, enabling developers to use ClickHouse in AI workflows.
Build and maintain the AI platform infrastructure for TeamViewer Tia, including data pipelines, retrieval systems, vector databases, and production model deployment to power reliable, enterprise-grade AI experiences.
Build and scale an internal AI platform using LLMs, vector databases, and agent frameworks to automate engineering workflows and create AI assistants for sales, design, manufacturing, and leadership.
Designs and leads enterprise integration architectures using MuleSoft Anypoint Platform, focusing on hybrid cloud, API-led connectivity, and AI-driven workflows (LLMs, RAG, Kafka). Owns SDLC, pre-sales RFPs, and COE frameworks for scalable middleware solutions.
Designs, builds, and deploys AI solutions for a global banking client using Generative AI, Agentic AI, LLMs, and vector databases on cloud platforms.
Secure AI systems, LLM workflows, and agentic AI solutions by conducting threat modeling, red teaming, and risk assessments while embedding AI security into DevSecOps and MLOps pipelines.
Lead a team building AI/ML systems for competitive product intelligence, focusing on NLP, deep learning, and GenAI (e.g., transformers, RAG pipelines) to classify, match, and validate products at scale for Target’s retail operations.
Software Engineer - AI Location: Gurugram, India Department: Engineering At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and…
Protects cloud infrastructure by running vulnerability scans, triaging risks, and automating security workflows using Python and AI agents to strengthen Conga’s cloud security posture.
Lead a team to build cloud-native clinical data platforms and AI solutions that transform raw trial data into trusted, AI-ready assets for faster drug development and smarter decision-making.
Sr Mgr Data Management Location: Bangalore, Karnataka, India Remote Type: Fully Onsite Time Type: Full time Job Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare…
Lead the design and integration of Generative AI features—including RAG pipelines, agent workflows, and LLM APIs—within M&T Bank’s secure enterprise environment using Java, Python, or C#.
Builds and evolves RackAI, a cloud-native AI platform, using Go and Kubernetes to design scalable backend services, operators, and AI-driven tooling while shaping an AI-first engineering culture.
Build a next-gen AI platform for hardware engineering teams, owning full-stack features from architecture to deployment using TypeScript, React, PostgreSQL, and cloud services.
Architect and build a full-stack AI platform for hardware engineering teams, defining system architecture, APIs, and cloud infrastructure while driving product decisions and engineering standards.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Build and scale AI-powered backend services using Java/Spring Boot, integrating LLMs and AI tools to automate workflows and accelerate product delivery in a fast-moving startup.
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