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Oliver Wyman Group
Expérience récente en programmation full stack et conception de systèmes; Expérience pratique récente avec Python et un autre langage serveur; Expérience avec au moins une technologie front-end
Python, React, TypeScript, SQL, C#, Java
École de technologie supérieure
Doctorat obtenu dans les 5 dernières années en informatique ou génie; Expérience en frameworks multi-agents et IA agentique; Maîtrise de Python, TypeScript, C# ou .NET
Python, TypeScript, C#, .NET
Workana
10+ YOECandidates need 10+ years of software or research experience, 3+ years deploying AI/ML in production, and expert Python skills. They also need hands-on work with PyTorch, TensorFlow, Hugging Face and LangChain, plus RAG and transformer expertise.
Python, PyTorch, TensorFlow, Keras, Hugging Face, LangChain
Tiger Analytics Inc.
2+ YOECandidates need strong production Python experience, at least 2 years building multi-agent AI systems, and hands-on work with LLM structured outputs, vector databases and AI testing. Experience with delivery management and client-facing technical leadership is expected.
Snowflake Cortex, LangGraph, AutoGen, CrewAI, LlamaIndex, FastAPI
Tiger Analytics Inc.
7+ YOECandidates need 7+ years of software and AI engineering experience, strong Python skills, and hands-on work with generative AI models and AWS. Experience with CI/CD, RAG, agent frameworks and evaluation tools is expected.
AWS Bedrock, Pinecone, Weaviate, pgvector, LangChain, CrewAI
Tiger Analytics Inc.
Candidates need advanced Google Cloud and Vertex AI skills, hands-on experience with LLM frameworks, vector databases and model serving, and strong Python. They must also be able to explain AI limits to clients and travel to client sites.
Vertex AI, Google Kubernetes Engine, Terraform, Google Cloud SDK, LangChain, LlamaIndex
Tiger Analytics Inc.
Candidates need hands-on experience with LLM frameworks, vector databases, model serving and multi-cloud infrastructure, plus strong Python skills. Travel to client sites is required.
Terraform, OpenTofu, Kubernetes, LangChain, LlamaIndex, AutoGen
Tiger Analytics Inc.
7+ YOECandidates need 7+ years in software, ML or AI engineering, strong Python skills, and hands-on experience building GenAI or agentic AI systems in production. Experience with at least one major cloud (AWS, Azure or GCP) and strong customer-facing communication are also required.
Python, Amazon Bedrock, Azure OpenAI Service, Vertex AI, OpenSearch Serverless, Azure AI Search
Tiger Analytics Inc.
10+ YOECandidates need 10+ years in software or AI/ML work, strong Python skills, experience deploying LLM and GenAI solutions, and experience leading technical teams while staying hands-on. Client-facing communication and stakeholder management are essential.
Python, FastAPI, Docker, Kubernetes, LangChain, LangGraph
Tiger Analytics Inc.
8+ YOECandidates need 8+ years in software architecture, system integration or machine learning engineering, including 2-3 years productionizing AI or LLM solutions. Preferred experience with Azure Databricks.
Azure Databricks
Moonshot
Candidates need trust and safety, online harms, or safeguarding experience and the ability to turn real-world harm knowledge into testable AI criteria. They must be resilient with graphic content and available for about 6 weeks, close to full time.
Client relationship management, Team leadership, Regulatory compliance, Data protection, Research, Communication skills
DataVisor
8+ YOE2+ MgmtCandidates need 8+ years of software development experience and 2+ years in technical leadership. DataVisor requires deep Java experience, distributed real-time systems knowledge, and a Bachelor's degree in Computer Science or a related field.
Java, Python, Kafka, Flink, Spark, Cassandra
Aplin
Candidates need recent software engineering experience with daily AI coding tools, hands-on LLM integration, and knowledge of MCP, REST APIs, microservices and cloud platforms. Asset management business understanding and experience with agentic frameworks such as LangChain or AutoGen are also required.
Claude, GitHub Copilot, Microsoft Copilot, Copilot Studio, Copilot Cowork, Microsoft Foundry
Altis
Candidates need legal education or professional experience in legal research, contracts or compliance, along with strong analytical, writing and critical-thinking skills. Familiarity with generative AI tools and comfort working remotely and learning new digital platforms are also expected.
Analytical skills, Research, Work independently, Litigation, Regulatory compliance, Legal research
AIIM
3+ YOECandidates need strong C# and ASP.NET Core experience, modern front-end skills, and SQL Server expertise. Cloud (Azure), testing and secure coding experience are also required, along with a degree or equivalent practical experience and 3 to 7+ years of development experience.
SQL Server, Azure, Postman, Git, Docker, Quadient
Syndio: Using Syndi, the company's first AI-native solution, teams get precise, instant pay recommendations embedded in their workflows.
8+ YOECandidates need 8+ years of hands-on engineering experience with distributed systems, large-dataset performance work and workflow orchestration. Strong skills in Python, Go, TypeScript, React and Postgres, plus end-to-end testing and daily use of coding agents, are expected.
Postgres, Redis, Firebase, Playwright, Cypress
Syndio: Using Syndi, the company's first AI-native solution, teams get precise, instant pay recommendations embedded in their workflows.
Candidates need deep experience with complex distributed systems, strong skills in several languages such as Python, Go, TypeScript and React, and integration experience with third-party platforms. Authentication and authorization fluency with OAuth, OIDC and SAML is required, along with strong testing and daily use of coding agents.
Auth0, Firebase, Redis, Postgres, Playwright, Cypress
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).
Gemini Enterprise, Vertex AI, Google ADK, BigQuery, LangGraph, LangChain
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOECandidates need 8+ years in data science and machine learning, including 2-3 years on LLM architecture and agentic systems, and a master's degree or higher. Deep experience with Google Gemini Enterprise and Vertex AI, plus leadership and client-facing skills, is required.
Vertex AI, Gemini Enterprise, Agent Builder, Microsoft AI Foundry, AWS Bedrock, LangGraph
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOECandidates need 8 or more years in software engineering and AI, including 2 to 3 years on LLM architecture and agentic design. A Master's degree or higher in a related field, hands-on experience with agentic SDKs and Google Vertex AI, and experience leading engineering teams are required.
Vertex AI, Gemini Enterprise, Microsoft AI Foundry, AWS Bedrock, LangGraph, Kubernetes
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3-5 years of software or data engineering experience, with recent hands-on work on LLM-based development. Strong Python and TypeScript skills, RAG and agentic framework experience, and specialization in one AI platform plus a cloud platform are required, along with fluent English.
React, Python, TypeScript, Terraform, Claude Code, Gemini CLI
14 companies