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Vooban
7+ YOE7 à 10 ans d'expérience en développement logiciel; 1 à 2 ans de LLM en production; Maîtrise de Python, Java ou GoLang un atout
Claude Code, GitHub Copilot, VS Code, LangChain, LangGraph, CrewAI
Procurify
3+ YOECandidates need 3+ years in GTM enablement, sales, customer experience or partnership leadership, or a coaching-focused go-to-market role. They need strong CRM skills, data-driven thinking, and interest in AI and automation.
Salesforce, HubSpot, Gong, Outreach, Salesloft
Procurify
8+ YOE3+ MgmtCandidates 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+ YOECandidates 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
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
4+ YOE4+ MgmtCandidates need 4+ years of software development management experience leading platform, DevEx or infrastructure teams. They need a strong background in developer tooling, CI/CD, containers and distributed systems. Experience with LLM agent frameworks or MCP tooling is a strong advantage.
Software development, Manage a team, Leadership, CI/CD, Recruitment, Problem solving
Knak
6+ YOECandidates need 6+ years of software development experience, including production work with LLM-powered agents and evaluation of LLM systems. Strong Python, Node.js and MySQL skills, plus REST API, CI/CD and AWS experience, are required.
LangSmith, LangGraph, AWS Lambda, AWS Bedrock, GitHub Actions, Docker
Grafana Labs: Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and…
Candidates need experience building production-grade software that real users depend on, plus practical experience with LLMs and GenAI applications. Cloud-native work on AWS, GCP or Azure and using observability tools to troubleshoot systems are also required.
Grafana Cloud, AWS, GCP, Azure
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+ YOECandidates 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
Camunda
Candidates need hands-on experience running Kubernetes clusters in production and managing infrastructure as code, such as Terraform. They also need monitoring and observability experience with tools like Prometheus or Grafana, and strong incident response skills.
Kubernetes, Terraform, Prometheus, Grafana, ArgoCD, AWS EKS
Camunda
7+ YOECandidates need 7+ years as a Java backend engineer on distributed or data-intensive systems, with experience on an analytical serving layer over a table format and object storage. They must lead medium-to-large initiatives end-to-end and communicate clearly in a remote-first team.
Java, Apache Iceberg, Delta Lake, DuckDB, Apache Flink, Kafka
Life360
10+ YOELife360 needs 10+ years with high-volume data infrastructure, strong skills in Databricks, AWS, Spark, Airflow, SQL and Python, and daily use of AI development tools. Experience with data quality frameworks and Terraform is also expected, along with a BS in CS, engineering or math or equivalent hands-on experience.
Databricks, Apache Spark, Kafka, AWS Kinesis, AWS S3, AWS EMR
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
Mimica: Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation…
8+ YOEMimica needs at least 8 years as a software engineer with prior Lead, Staff or Principal experience. Candidates need strong Python and backend skills, async and concurrent programming, observability and tracing, and the ability to own projects end to end.
Python, Grafana, Prometheus, Loki, Tempo
Guidepoint
6+ YOECandidates 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
Guidepoint
6+ YOECandidates need 6+ years of software engineering, including 2+ years building LLM-powered products in production, plus strong TypeScript or Python skills. Real-time systems experience and cloud-native production experience are required; Azure and voice AI experience are assets.
Kubernetes, Azure, LangGraph, LangChain, CrewAI
Guidepoint
6+ YOECandidates need a bachelor's degree with 6+ years, or a master's degree with 4+ years, of backend and Generative AI engineering experience. They must have strong Python, cloud and container skills, and hands-on experience building LLM applications.
Databricks, Azure Kubernetes Service, Docker, Kubernetes, Helm, ArgoCD
Aduna Global: By combining network APIs from multiple operators globally under a unified platform based on the CAMARA open-source project, driven by the GSMA and…
5+ YOE5+ ans d'expérience en génie logiciel; Solides compétences en Python; Expérience d'une application LLM ou agentique en production
Python, Kubernetes, Terraform, Helm, ArgoCD, AWS
OpenLoop Health: OpenLoop is the nation’s top white-label digital health infrastructure provider, powering virtual care delivery for healthcare organizations,…
12+ YOECandidates need 12+ years of software engineering experience at tech lead, staff or principal scope, plus 2+ years running LLM systems in production. They also need hands-on agent or evaluation depth, a track record measuring AI quality with numbers, and a bachelor's degree in a technical field.
GCP
16 companies