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AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI…
Build core AI interfaces for MongoDB, including the MCP Server and Agent Skills, enabling developers and AI agents to interact seamlessly with MongoDB at scale.
Build scalable full-stack applications and native agentic AI systems using Python, React, AWS, Kafka, and PostgreSQL. Responsibilities include designing backend services, frontend components, and AI agent workflows.
À la Digital Factory de Sopra Steria, nous concevons des produits numériques Web, Mobile et dopés à l’IA pour transformer des idées en solutions concrètes. Vous rejoignez une équipe d’environ 50 ingénieur(e)s, Tech…
Designs, builds, and operationalizes machine learning and generative AI systems, taking models from prototype to production. Work involves Python, LLMs, RAG, PyTorch/TensorFlow, and MLOps practices like Docker and FastAPI.
Наша команда отвечает за **независимую оценку и контроль качества генеративных моделей Банка.** Наша основная задача оценить флагманские генеративные модели Сбера – GigaChat, Kandinsky, GigaCode и PhysicalAI решений.…
Get to know our Team: GrabFin is an aggregate of FinTech businesses spread across 6 countries in South East Asia, in the Payments, Lending and Insurance domains. We station our engineering teams in Bangalore,…
ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed AI Engineer based in India. This is a hands-on opportunity to turn…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Architect based in India. This is a foundational technical leadership role…
We're expanding the Backend Lead behind an AI-powered product built on modern LLM technologies. You will own the platform services domain, partnering closely with product and engineering to turn ambitious ideas…
Lead the design, hardening, and scaling of agentic AI systems from prototype to production using LangGraph, Python, FastAPI, and cloud platforms like AWS or Azure.
Build and operate the cloud and platform infrastructure for enterprise AI solutions powered by Claude/Anthropic at a ServiceNow consulting partner, spanning LLMOps, RAG pipelines, containers, CI/CD, and ServiceNow integrations.
Builds and maintains scalable AI platforms integrating Anthropic’s Claude models, enabling secure, governed enterprise AI solutions with RAG, agentic workflows, and enterprise data integrations.
Deploy Claude-powered agentic AI workflows, RAG solutions, and AI assistants within ServiceNow and enterprise ecosystems as a senior forward-deployed engineer, traveling ~25% to client sites.
A senior engineer who deploys AI solutions for enterprise clients, blending LLM engineering (Claude, RAG, agentic workflows) with full-stack integration and client-facing delivery. Focuses on operationalizing AI in ServiceNow and broader enterprise ecosystems while contributing to NewRocket’s AI platform IP.
Senior Forward Deployed AI Engineer deploying Claude/LLM-powered agentic workflows and AI solutions into enterprise ServiceNow environments, blending full-stack engineering, RAG, and client-facing delivery with ~25% travel.
Builds and operates secure, scalable AI platforms for enterprise LLM apps, RAG, and agentic workflows using cloud-native tools and ServiceNow integrations.
AI Platform Engineer building secure, scalable cloud infrastructure for Claude-powered enterprise AI solutions on ServiceNow, spanning LLMOps, RAG pipelines, DevOps, and governance across AWS/Azure/GCP.
Deploy and scale Claude/Anthropic-powered AI workflows and agentic solutions within enterprise ServiceNow environments, combining full-stack engineering, RAG, and prompt engineering with client-facing delivery (~25% travel).
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