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Overview We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data & AI team in the AI Hub you will help drive analytics…
Lead AI Engineer at Zoox (autonomous vehicle company) hands-on driving enterprise GenAI/LLM initiatives: building production LLM agents and agentic workflows, integrating enterprise data via MCP servers, and enforcing identity-aware security (SSO, RBAC/ABAC, AI gateways) across functions like Procurement, Finance, HR, and Manufacturing. Core stack: Python, LangChain/LlamaIndex, AWS Bedrock/Vertex
О проекте Крупная AI-платформа, где строится экосистема агентных решений: каталог AI-агентов, мультиагентные системы, конструктор воркфлоу, реестр промптов и единый безопасный доступ к десяткам LLM (как локальным, так…
Accelerate your career You will be a core member of our Database & System Support Team to implement, operate, and support mission‑critical enterprise databases and data platforms. This role provides a unique…
A hands-on lead engineering role at CPP Investments building AI and GenAI-powered solutions — LLM pipelines, agentic AI, RAG architectures — using Python, React, and AWS cloud services. The person codes and architects solutions, mentors engineers, owns end-to-end delivery, and shapes the organization's AI roadmap.
An AI engineer at Aloe designs and optimizes NLP systems, working with large language models, their training pipelines, and production vector search. Day to day this means Python/PyTorch-style ML work on embeddings and text data within a cross-functional team building a next-generation user interface.
Data Engineer 4 (Risk Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At…
Job Description What is the opportunity? Responsible for leading and overseeing Corporate Actions within Securities Operations. This role ensures compliance with Service Level Agreements (SLAs), manages team…
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions.…
Industry/Sector Not Applicable Specialism Oracle Management Level Senior Associate Job Description & Summary Job Title: Senior Associate – Generative AI Developer Experience: 5+ years of total IT experience,…
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking -…
Internship with Shopee's data infrastructure team in Singapore to develop, optimize and maintain OLAP/Big Data engines such as Presto/Trino, ClickHouse, StarRocks, Druid, HBase and Milvus. Day-to-day work includes performance tuning, troubleshooting, running engines on Kubernetes and exploring AI/LLM tooling, using Java, C++, Go or Python.
Full Stack Developer in Kuala Lumpur building modern web apps (React/Next.js/Vue frontends with PHP/Laravel, Hyperf or Node.js backends on MySQL/Redis) and deploying AI agent/LLM solutions using APIs like OpenAI, Claude and Gemini plus frameworks such as LangChain. Day to day spans API development, automation workflows, and production troubleshooting.
Weekday is hiring an ML Engineer (3+ yrs) in Bengaluru on behalf of one of its clients to build and own production ML/GenAI systems end to end — LLM apps, RAG pipelines, conversational AI, agentic workflows, and personalization/recommendations — using Python, embeddings/vector search, and LLM orchestration.
Builds and runs Python backend services and Agentic AI workflows (LangGraph/LangChain) — LLM orchestration, prompt guardrails, NL-to-SQL pipelines, and GenAI observability — deployed on Azure to power CustomerInsights.AI's life-sciences analytics products.
Senior full-stack AI developer (permanent contract) at an IT services firm, on a long-term mission for a large client: building and industrializing a generative-AI platform with RAG architectures and LLMs (GPT, Mistral, Claude), Python APIs and data pipelines, Kubernetes, Azure/AWS and CI/CD. Hybrid: 2 days onsite in Maisons-Alfort, 3 days remote.
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