Aucun filtre correspondant. Essayez un autre nom.
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ ansCandidates need 3 to 5 years of software or data engineering experience, hands-on work with Gemini, Vertex AI and GCP, and strong Python and TypeScript skills. A Google Cloud certification such as the Professional Machine Learning Engineer is preferred and must be obtained within two months of starting.
Gemini Enterprise, Vertex AI, BigQuery, Google Agent Development Kit, React, Terraform
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansCandidates need 8+ years of data science and machine learning experience, including 2-3 years on LLM architecture and agent design, plus a master's degree or higher. Hands-on experience with Google Vertex AI and Gemini, fine-tuning pipelines, and leading teams is required.
Vertex AI, Gemini Enterprise, Agent Builder, Microsoft AI Foundry, AWS Bedrock, PyTorch
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansArtefact needs 8+ years in software engineering and AI, including 2 to 3 years on LLM and agentic architecture. Candidates need a master's degree or higher, production deployments on Google Vertex AI or Gemini Enterprise, hands-on agent frameworks and team leadership experience.
Google Vertex AI, Gemini Enterprise, LangGraph, LangChain, Google ADK, Claude Agent SDK
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ ansCandidates need 3 to 5 years of software or data engineering experience, with recent hands-on work building LLM-based features. They need strong Python and TypeScript skills, React and backend experience, RAG and agent frameworks, and expertise in one major AI platform such as Google, Anthropic, or OpenAI, plus fluent professional English.
React, LangGraph, LangChain, Vertex AI, Claude Code, Gemini CLI
Levio
6+ ansLevio needs candidates with 6+ years of engineering experience, including 3+ years in GenAI or agentic systems. Candidates must show recent hands-on production code, real customer-embedded experience, and proven evaluation and guardrail skills.
LangGraph, MCP, AWS Bedrock, Azure OpenAI, GCP
Levio
6+ ansBaccalauréat ou maîtrise en informatique, génie ou science des données; Plus de 6 années d’expérience en ingénierie, dont 3 en IA/ML; Excellente maîtrise de Python et des frameworks ML (PyTorch, TensorFlow, scikit-learn)
Python, PyTorch, TensorFlow, scikit-learn, CI/CD pipelines
Trulioo
8+ ansCandidates need 8+ years of software engineering experience with production impact, plus hands-on work with LLMs, RAG, tool use and an agent framework such as LangGraph, CrewAI or AutoGen. Strong communication of trade-offs to technical and non-technical stakeholders is also required.
LangGraph, CrewAI, AutoGen
Diligent Corporation
10+ ansCandidates need 10 to 15+ years of cloud engineering experience at Staff level, strong Python skills, AWS infrastructure-as-code experience, and hands-on work with LLMs, RAG and vector search. A Bachelor's, Master's or PhD in a related field is preferred.
AWS, OpenSearch, Elasticsearch, Python, Terraform, AWS CDK
Solstice
Candidates need solid experience building and deploying enterprise-grade products, strong full-stack skills in Python, FastAPI, Docker, and AWS, and experience with LLM workflows, RAG pipelines, or agentic solutions. Clear communication and self-direction are also required.
Python, FastAPI, Docker, AWS, Celery, Redis
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
3+ ansCandidates need hands-on experience building LLM and retrieval-based AI solutions on Databricks, strong Python and software engineering skills, and a computer science degree or equivalent. Three to five years of experience with one to two years in GenAI projects is preferred.
Databricks, MLflow, Unity Catalog, Vector Search, Python, Git
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
10+ ansCandidates need 10+ years in software, AI, machine learning or data engineering, including leading teams and delivering enterprise projects. Strong Python skills, hands-on LLM application experience, and client-facing communication with technical and executive audiences are required.
Anthropic Claude, Databricks, Python, LangChain, LangGraph, LlamaIndex
Univeris
7+ ansCandidates need 7 to 10 years in data architecture or data engineering, expert SQL Server and PostgreSQL skills, and strong data modeling. Financial services or wealth management experience and governance program experience are highly desirable.
Microsoft SQL Server, PostgreSQL, Google BigQuery, Dagster, Airbyte, dbt
Cloudbeds
Candidates need senior experience as a data engineer, data architect or tech lead in cloud data environments. Deep Snowflake and dbt skills, advanced SQL and Python, and CI/CD discipline are required, along with clear English communication.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Procurify
5+ ansCandidates need 5+ years of hands-on full stack experience, preferably in SaaS, with strong Python and Django and React with TypeScript skills. Experience with LLMs, RAG, vector databases and agile practices is also required.
Python, Django, TypeScript, React, MySQL, AWS
Procurify
8+ ans3+ gestionCandidates need 8+ years of software engineering experience, including 3+ years leading engineering teams and 3-5+ years building AI products in production. Strong hands-on experience with LLM applications, RAG, agentic workflows and AI monitoring is required.
Python, Azure OpenAI, AWS Bedrock, Databricks, Kubernetes, LangChain
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
10+ ansCandidates need 10+ years of product management experience, including AI platform, ML infrastructure or developer platform work. They must have shipped production AI services and hold informed views on models, RAG versus fine-tuning and agentic architectures.
LLMX
Grafana Labs: Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and…
8+ ansCandidates need 8+ years of software engineering experience, including 2+ years applying LLMs to production systems. Strong Python and JavaScript/Node.js skills, Google Cloud experience and experience with multi-agent systems are required.
BigQuery, Slack, Cloud Run, Cloud Functions, n8n, Workato
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and experience with orchestration tools and cloud platforms. They also need knowledge of data modelling, vector databases, agentic AI concepts and data governance.
SQL, Python, Airflow, Prefect, Dagster, Azure
Connor, Clark & Lunn Financial Group Ltd.
Candidates need proven experience building scalable data pipelines for structured and unstructured data, strong SQL and Python skills, and familiarity with orchestration tools and cloud platforms. Knowledge of data governance, AI safety and guardrails, and vector databases for LLM and RAG pipelines is also expected.
Airflow, Prefect, Dagster, Azure, AWS, Microsoft Fabric
Serotonin: Serotonin is a marketing firm and product studio for transformative technologies.
Candidates need strong Python skills, experience building REST and GraphQL integrations, and production full-stack work such as Next.js. They also need hands-on LLM API and agent orchestration experience, plus vector database and RAG knowledge.
Python, Next.js, Dune Analytics, LangGraph, CrewAI, GitHub
Guidepoint
6+ ansCandidates need 6+ years of backend software engineering experience with a Bachelor's degree, or 4+ years with a Master's, including production LLM and Generative AI work. Strong Python, cloud container deployment and experience with LLM evaluation and MLOps are required.
Databricks, Apache Spark, Azure Kubernetes Service, Docker, Kubernetes, Helm
17 entreprises