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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
Morgan Stanley: Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management…
4+ YOEPlus de 4 ans d'expérience en bases de données et développement Full Stack; Expertise avec Java/Spring Boot, Python, REST et Angular; Expérience de plusieurs plateformes de bases de données
Java, Spring Boot, Angular, Python, Spark, Kafka
Morgan Stanley: Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management…
2+ YOEAu moins 2 ans d'expérience pertinente; Solide connaissance de Linux/Unix et du soutien à la production; Expérience avec OpenTelemetry, Prometheus, Grafana et Power BI
OpenTelemetry, Prometheus, Grafana, Loki, Tempo, Power BI
Citi
10+ YOE5+ MgmtCandidates need 10 or more years of large-scale application development experience, including 5 or more years leading Python and PySpark engineering work. Experience with agentic AI, microservices, SQL and data architecture is also expected, and a bachelor's degree or equivalent experience is required.
Python, PySpark, Databricks, Kafka, Google ADK, Devin.AI
Citi
6+ YOE3+ MgmtCandidates need 6+ years of enterprise software engineering experience, including 3+ years leading technical teams. They should be expert in Java and Spring Boot, with experience in messaging, containers, databases, and CI/CD.
Java, Spring Boot, Angular, Apache Kafka, RabbitMQ, Docker
Inviso: Inviso is a growing technology consulting firm that offers a wide range of business services for small to enterprise organizations across industries.
Candidates need experience shipping LLM, ML or RAG-based software to real users and designing agent or AI workflow systems. They also need strong software engineering skills, evaluation methods and collaboration skills for client-facing work.
Cost management, ML, Workflow, Communication skills, Collaboration, Microsoft Azure
Portless
3+ YOECandidates need 3+ years of software engineering experience, including 1-2 years building production AI or ML systems. Strong Python or TypeScript skills and hands-on experience with LLM APIs and RAG or agentic frameworks are required.
LangChain, LlamaIndex, Pinecone, Weaviate, pgvector, Anthropic Claude API
Jeeves
7+ YOECandidates need 7+ years of software engineering experience, including 2+ years building LLM systems in production. They need strong Python and backend skills, experience with AI APIs and agentic workflows, and AI observability experience.
Python, PostgreSQL, AWS, GCP, Azure
Origin
5+ YOECandidates need at least five years of production software or data engineering experience, strong hands-on coding skills, and comfort with messy operational data. They must communicate clearly with engineers and executives and show good product judgment and high ownership.
ClickHouse, SQL, MCP, APIs, Docker, Kubernetes
Mythic
3+ YOECandidates need 3+ years of compiler or high-performance systems experience, expert modern C++ and strong Python, and familiarity with SSA or graph-based IRs and code generation. Exposure to specialized accelerators and ML compiler stacks is a strong asset.
C++, Python, MLIR, LLVM, TVM, XLA
Hydro-Québec: L'entreprise comprend quatre divisions :
3+ YOEBaccalauréat en informatique; Moins de 3 ans d'expérience en ingénierie logicielle, apprentissage automatique, science des données ou sécurité; Connaissance de l'évaluation des LLM et des risques de l'IA générative
Python, promptfoo, garak, PyRIT, Inspect, Langfuse
Casper Studios: Casper Studios is an AI services firm that helps businesses implement AI across their operations and build external-facing AI products.
Candidates need shipped experience with LLMs that had real usage, plus strong programming, data engineering and cloud skills. They must work with high autonomy, state their assumptions, and write clearly.
TypeScript, Airflow, Dagster, Inngest, Prefect, Claude Code
Urban Ridge Supplies
3+ YOECandidates need several years of software or technical delivery experience with a production system, a computer science or related degree, and customer-facing technical delivery experience. They must be fluent in Python, JavaScript/TypeScript, Java or Apex and hands-on with LLMs and prompt engineering.
Cursor, Claude, Salesforce Data 360, Snowflake, Databricks, BigQuery
Urban Ridge Supplies
10+ YOECandidates need 10+ years of software engineering experience with a strong backend or platform focus. They must know Go, PostgreSQL, TypeScript, React and Next.js, design REST APIs, and use AI coding assistants daily. Experience with Docker or Podman, CI/CD, cloud deployment and full testing is also required.
Go, Next.js, React, PostgreSQL, Docker, Podman
Urban Ridge Supplies
Candidates need proven experience shipping production systems, backend and API development, and cloud-native architecture (Azure preferred). Hands-on experience building LLM-powered applications, agent workflows, and secure, governed AI implementations is also required.
Azure, Claude
17 companies