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Mistral
5+ YOECandidates need 5 to 10+ years in cloud solutions, technical account management or customer engineering roles, plus hands-on AI/ML workload experience. Mistral also wants working knowledge of cluster orchestration tools such as Slurm and Kubernetes.
Slurm, Kubernetes, PyTorch, JAX, TensorFlow, vLLM
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
1+ YOECandidates need 1-3 years of full-stack development experience, proficiency in Python and TypeScript, and experience with REST APIs and cloud infrastructure. Experience building LLM-powered or GenAI products is also required.
Next.js, Tailwind CSS, Shadcn, Docker, Kubernetes
Later
6+ YOECandidates need 6+ years in data, backend or platform engineering, strong Python and SQL skills, and dbt experience. Hands-on cloud experience with GCP and BigQuery, infrastructure as code, CI/CD and orchestration is needed, along with architectural judgment.
BigQuery, dbt, Fivetran, Kubernetes, AWS, GCP
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+ YOECandidates 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
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
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
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.
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…
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
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
21 companies