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hireVouch: Company Marketing Strategy
8+ YOECandidates need 8+ years building scalable distributed systems and 2–3+ years shipping production AI applications with LLMs. Hands-on experience with LangGraph or LangChain, RAG, tool calling, Kafka-style event-driven systems and cloud platforms is required, plus expertise in Python or Java.
LangGraph, LangChain, Kafka, Pub/Sub, Vertex AI, Spring Boot
Ubisoft
5+ YOE5 ans et plus d'expérience en ML appliqué; Maîtrise de Python et frameworks LangChain, LlamaIndex, HuggingFace; Expérience des architectures RAG et bases vectorielles
Python, LangChain, LlamaIndex, HuggingFace Transformers, Qdrant, pgvector
Coveo
4+ YOECoveo needs candidates with at least 4 years of industry experience applying NLP to production systems. They must be able to evaluate LLM-based systems, write strong, tested Python, and explain technical tradeoffs to non-technical colleagues.
HuggingFace, Pandas, Polars, MLflow
CircleCI
8+ YOECandidates need 8+ years of production engineering experience, including cross-team technical decisions, plus hands-on experience driving agentic developer tooling efforts. Backend Go experience and a platform mindset for building tools other engineers rely on are required.
Go, MCP, CI/CD pipelines
CircleCI
8+ YOECandidates need 8+ years building production backend and infrastructure systems, strong Go skills, and deep experience with Kubernetes and Helm. They also need a platform mindset, experience with on-premises or self-hosted software, and technical leadership.
Kubernetes, Helm, OpenTelemetry, Go
CircleCI
5+ YOECandidates need 5+ years building production backend systems, strong Go skills, and hands-on experience with data-intensive systems such as ClickHouse or other columnar databases. CircleCI also expects distributed systems judgment, technical leadership, and daily use of AI tools in engineering work.
ClickHouse, Go, Temporal, Honeycomb, Datadog, Rollbar
CircleCI
8+ YOECandidates need 8+ years of production full-stack experience, strong React, TypeScript and Go skills, and a record of architecture decisions across systems. They must use AI tools daily in engineering and show technical leadership.
Honeycomb, Datadog, Rollbar
Morgan Stanley: Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management…
4+ YOEAu moins 4 ans d’expérience en IA, apprentissage automatique et TALN; Maîtrise ou doctorat en informatique, statistiques ou domaine quantitatif; Excellente maîtrise de Python (de préférence) ou de Java
Python, Java, LangChain, LangGraph, Semantic Kernel, CrewAI
Flinks
6+ YOE6 to 8 years shipping machine-learning models to production; Production-grade Python; Bachelor's in a quantitative field; master's or PhD an asset
Python, SQL, BigQuery, PyTorch, HuggingFace, MLflow
Flinks
6+ YOE6 to 8 years shipping machine-learning models to production; Production-grade Python; Bachelor's in a quantitative field; master's or PhD an asset
Python, SQL, BigQuery, PyTorch, HuggingFace, MLflow
Urban Ridge Supplies
3+ YOECandidates need at least 3 years of engineering, QA, solutions or similar technical experience, plus strong fundamentals and curiosity about AI prompting and multi-agent systems. Urban Ridge Supplies also expects a bias for action, self-direction, comfort with early-stage ambiguity, and a science or engineering background (dropouts welcome).
Hugging Face, Notion, Lightspeed, Documentation, Prioritization
Urban Ridge Supplies
3+ YOECandidates need at least 3 years of engineering, QA, solutions engineering or similar technical experience, plus strong fundamentals and curiosity about AI and automation. They must take initiative, work without much direction, and be willing to relocate to SF or Toronto.
Hugging Face, Notion, Lightspeed, Documentation, Prioritization
Urban Ridge Supplies
3+ YOECandidates need a bachelor's degree or college program completion, 3 years on Databricks and big data projects, and 1 year shipping agentic AI to production. They also need 5 years in Python or Java and 2 years of production CI/CD and MLOps experience. English is required.
Databricks, Mosaic AI, Vector Search, Model Serving, MLflow, Unity Catalog
Urban Ridge Supplies
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
Python, PyTorch, HuggingFace, LangChain
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
15 companies