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Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Lead a team to design and build scalable data pipelines and AI-ready infrastructure for an AI startup, focusing on real-time processing, vector search, and ML data workflows.
Senior Python developer building autonomous AI agents for logistics optimization using LangChain, CrewAI, and vector databases like Pinecone.
Build autonomous AI agents for logistics optimization using Python, LangChain, and vector databases to automate complex workflows and decision-making.
What happens when an AI or automation solution is already in production—but something goes wrong? We're looking for a Support Engineer – AI & Automation to help keep ATI's AI, LLM, and RPA solutions running…
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
The Role This is a software engineering role first and foremost. You'll build and ship product capabilities across our platform — and a meaningful part of your work will be AI-powered features, which is why…
Build predictive models and AI tools to analyze customer, financial, and operational data, integrating enterprise platforms like Salesforce and SAP to drive sales effectiveness and customer retention.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, secure, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes.
Build and scale SentinelOne’s AI Gateway (Kong AI Gateway) to route, rate-limit, and monitor AI coding assistant traffic, while operating self-hosted LLM inference stacks and LLMOps tooling across Kubernetes and AWS.
Lead the design and development of AI agents for test automation, including test-case generation, script creation, execution, and failure analysis using LLMs, RAG, and CI/CD integrations.
Design and deploy production-grade AI systems for clients, owning end-to-end architectures, prototypes, and technical standards while guiding engineering teams and advising on LLM stacks and cloud platforms.
Build and deploy intelligent AI agents using LangChain, LangGraph, and LLMs to automate enterprise supply-chain workflows with Python, FastAPI, and cloud-native tools.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Builds and deploys AI/ML systems, focusing on LLM fine-tuning, vector databases, and MLOps to turn prototypes into secure production solutions.
Lead AI/ML and Generative AI projects from concept to production, coordinating cross-functional teams and ensuring Responsible AI compliance while driving enterprise adoption and performance tracking.
Build AI-powered assistants and agents to automate IT infrastructure operations, troubleshooting, and engineering productivity using Python, RAG, and cloud-native tools.
Design and integrate generative AI features (LLM orchestration, embeddings, fine-tuning) into client systems while ensuring security and compliance in both commercial and public-sector environments.
Build and maintain full-stack applications with AI capabilities, using modern AI tools and LLMs to prototype, deploy, and secure enterprise software for mortgage-related workflows.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
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