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Lead performance engineering for Elasticsearch—architectural and code-level optimization, profiling, benchmarking, and building AI-assisted tools across a large-scale distributed search engine. Core tech: Java, JVM, Elasticsearch.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.
The Senior Data Scientist will build and deploy agentic AI systems to analyze geopolitical and financial risk data. The role involves developing RAG pipelines, designing multi-agent workflows, and managing the full production lifecycle using Python, SQL, and cloud infrastructure.
The Senior Data Scientist will build and deploy agentic AI systems to analyze geopolitical and financial risk data. The role involves developing RAG pipelines, designing multi-agent workflows, and managing the full lifecycle of production systems using Python, SQL, and AWS.
Designs and builds production-grade AI agents for enterprise revenue workflows, combining deep ML expertise with hands-on agent architecture, reasoning loops, and guardrails in a hybrid Bangalore role.
Build and scale core provider-platform services in C#, .NET, React, and AWS to manage provider data, onboarding, and real-time updates for Zocdoc’s healthcare marketplace.
Position Title: Full Stack Engineer Location: Remote — EST Time Zone Employment Type: Full-Time, Salaried Exempt Schedule: Monday–Friday About the Opportunity Cascadience, a VIABILITY Company, is building Volio , an…
The Principal Architect will define the enterprise architecture for NIQ's platforms, with a specific focus on integrating Generative and Agentic AI solutions. This role involves designing scalable, secure AI systems and establishing governance, patterns, and blueprints for AI adoption across the organization.
Principal Engineer builds and scales AI-driven platforms and agentic systems for clients, guiding architecture and mentoring teams across diverse tech stacks.
Lead Software Engineer at a tech consultancy, leading client engagements from discovery to production across multiple languages and frameworks, with increasing focus on AI/ML and agentic systems.
As a Staff Software Engineer for AutoCloud, you will lead the architecture of AI-powered memory and context systems for autonomous cloud management. You will design scalable, low-latency infrastructure for agent memory, RAG platforms, and cloud state aggregation while collaborating with research teams.
Senior Data Scientist building AI retrieval and knowledge infrastructure for rare disease research, spanning biomedical knowledge models, semantic/vector search, ranking systems, and full-stack deployment using PostgreSQL, Python, LLMs, and Next.js/React.
Build and operate large language model serving infrastructure at scale using Python, Kubernetes, and cloud platforms, applying site reliability engineering practices to AI platforms at J.P. Morgan.
Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of…
Lead a team of AI engineers in Gurgaon to design, build, and deploy production-grade GenAI and agentic AI solutions on GCP and Azure, ensuring scalability, security, and measurable business impact for global retail and brand clients.
Senior AI Engineer builds and operates production-grade GenAI and agentic AI systems on GCP for Tesco Media & Insight Platform, focusing on Vertex AI, RAG, and AI agents to power retail media insights.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Hands-on technical leadership role designing and delivering production-grade Generative AI and Agentic AI solutions, including LLM-powered applications, RAG pipelines, multi-agent architectures, and LLMOps using Python, agent frameworks, and cloud platforms.
Senior hands-on role designing and delivering scalable data and AI solutions—data pipelines, LLM/RAG integrations, and distributed data systems—translating architectural requirements into HLD/LLD specs and leading delivery teams in a hybrid setup based in Pune.
Full Stack Developer building and deploying Generative AI cloud applications on Microsoft Azure, primarily using Python or .NET for backend and React/Next.js for frontend, owning the full service lifecycle.
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