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Groupe LG2
3+ YOE3 à 7 ans d'expérience en développement logiciel; Une solution LLM mise en production; Maîtrise de Python et des APIs OpenAI, Anthropic ou Google Gemini
Python, LangChain, LlamaIndex, Docker, PyTorch, Hugging Face
Zip
15+ YOECandidates need 15+ years in solution or enterprise architecture, pre-sales engineering or product roles at B2B SaaS, iPaaS or ERP vendors. They need deep knowledge of ERP systems, integration middleware such as MuleSoft, Boomi or Workato, and experience selling to or implementing for Fortune 500 companies.
SAP, Oracle, Workday, NetSuite, Coupa, MuleSoft
PureFacts Financial Solutions
6+ YOECandidates need 2+ years building production LLM or GenAI applications, 6 to 8+ years of back-end engineering, and expert Python. Experience with RAG, vector databases, agent frameworks and evaluation or guardrail design in regulated settings is strongly valued.
Pinecone, Weaviate, LangChain, LlamaIndex, LangGraph, OpenAI
Citi
6+ YOECiti needs 6+ years in applications development or systems analysis, strong Python or Java full stack skills, and experience with Spring Boot or Flask/FastAPI and a JavaScript framework. Gen AI exposure and one major cloud provider are also required.
Spring Boot, Flask, FastAPI, React, Angular, Vue
Citi
6+ YOECandidates need 6+ years in applications development or systems analysis, strong full stack skills in Python or Java, and experience with Spring Boot or Flask/FastAPI and a modern JavaScript framework. Cloud experience and exposure to Gen AI tools are preferred.
Java, Python, Spring Boot, Flask, FastAPI, React
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
Urban Ridge Supplies
7+ YOECandidates need 7 years of relevant experience and strong Python skills with machine learning libraries. They also need experience with LLMs or deep learning, cloud platforms, and MLOps tools.
Python, PyTorch, TensorFlow, Scikit-learn, Spark, Pandas
Urban Ridge Supplies
10+ YOECandidates need at least 10 years of software or data engineering experience and 2 years building AI or generative AI solutions in production. They need experience with agent frameworks, RAG, prompt engineering, REST APIs and Microsoft 365 integrations, plus strong communication skills.
Microsoft Copilot, Copilot Studio, Harvey AI, Azure AI Foundry, Azure OpenAI, LangChain
Urban Ridge Supplies
10+ YOECandidates need 10+ years as a principal data engineer, ML/AI architect or solutions architect, deep experience with OpenAI and Azure OpenAI APIs, and strong executive-level communication. Willingness to travel to customer sites about once a quarter is required.
OpenAI Platform APIs, Azure OpenAI Service, Cursor, PySpark
Urban Ridge Supplies
7+ YOECandidates need a degree in a technical field, at least 7 years in software or AI engineering and 3 years building AI or generative AI solutions. They need advanced Python, RAG and agent experience, API integration skills, and the ability to work directly with business stakeholders.
Python, GitHub, Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Power Platform
Urban Ridge Supplies
3+ YOECandidates need 3-5 years of experience, strong Python skills and experience with LLMs, NLP or deep learning. They also need MLOps, cloud deployment and collaboration skills.
Python, PyTorch, TensorFlow, Docker, Kubernetes, MLflow
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
11+ YOECandidates need 11 or more years in IT, software engineering or data science, with AI and ML experience and strong Python skills. Cloud AI services, vector databases and clear communication with non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
Urban Ridge Supplies
3+ YOECandidates need 3+ years of software engineering experience, including AI applications in production. They need strong Python, TypeScript, SQL and Git skills, plus experience with LLMs, RAG, AI agents and cloud platforms.
Docker, Kubernetes, Git, PostgreSQL, Elasticsearch, Azure AI Search
Urban Ridge Supplies
Candidates need strong Python skills and experience shipping large language model applications, plus hands-on retrieval (RAG) work, agent frameworks and enterprise AI platforms. They also need prompt engineering skills and clear technical writing.
Python, LangChain, LlamaIndex, Azure OpenAI, Google Vertex AI, Anthropic API
Urban Ridge Supplies
Candidates need advanced Python and SQL skills, plus hands-on experience running LLM-based or agentic systems in production. Client-facing delivery experience and the ability to explain technical work to executives and engineers are also required.
Docker, Kubernetes, OpenAI Agents SDK, Claude SDK, Model Context Protocol servers
Urban Ridge Supplies
4+ YOECandidates need 4 to 8+ years in data science, machine learning or AI engineering, with production delivery experience. Strong Python skills and hands-on experience building agentic AI systems and working with LLM APIs, RAG and prompt engineering are required.
Python, PyTorch, TensorFlow, Scikit-learn, React, Streamlit
Urban Ridge Supplies
Candidates need proven experience redesigning a business process with automation, strong programming skills in TypeScript, Python or similar, and hands-on experience running LLM-based systems in production. Good judgment on when to use agents versus deterministic tools is essential.
Claude Code, MCP, n8n, Temporal, Snowflake, Postgres
PLATO: PLATO is a software testing and technology services company trusted by clients worldwide.
5+ YOECandidates need at least 5 years of experience delivering AI, machine learning or advanced analytics solutions, with strong Azure AI, Azure OpenAI and Microsoft Fabric skills. Python, RAG and vector search, CI/CD and Responsible AI experience are also required.
Azure OpenAI Service, Azure Machine Learning, Microsoft Fabric, Azure DevOps, GitHub, MLflow
11 companies