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Planview Incorporated
3+ YOECandidates need 3 to 4 years of software development experience, skill in C# or Java and SQL, AWS and REST API experience, and familiarity with Python, LLM applications, CI/CD and Docker.
AWS, AWS Bedrock, .NET Orleans, PostgreSQL, Snowflake, Docker
The Descartes
2+ YOECandidates need at least 2 years of full stack C# and .NET experience, including ASP.NET Core, Blazor and SQL Server. Azure cloud experience, Git and CI/CD pipelines, and strong communication skills are also required.
Azure DevOps, Git, SQL Server, Blazor, Azure OpenAI
Basis
8+ YOECandidates need at least 8 years of professional software engineering experience, including recent work shipping production LLM-powered or agent systems. Expert Python skills and proven technical leadership are required.
Python, LangChain, LangGraph, FastMCP, FastAPI, Langfuse
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD in computer science, machine learning, statistics, mathematics or a related field, or an equivalent research track record. They need hands-on research experience in machine learning, the ability to work independently with high-level guidance, and clear technical communication.
Research, Technical writing, ML, Debugging
Poka FR
2+ YOE2 à 4 ans d'expérience pertinente en test ou SDET; Maîtrise de Python et de TypeScript; Intérêt pour le comportement des LLM et leurs échecs
Python, TypeScript, promptfoo, Claude Code, AWS, Docker
Poka EN
2+ YOECandidates need 2 to 4 years of relevant experience, a background in test automation or as an SDET, and programming skills in Python and TypeScript. Curiosity about how LLMs behave and comfort judging quality without a single right answer are also required.
Python, TypeScript, Claude Code, promptfoo, AWS, Docker
Tree Top Staffing LLC
5+ YOE5+ MgmtCandidates need advanced experience in statistics, business or information technology, plus experience leading technical teams that support production ML models. Hands-on skill with cloud ML platforms and tools such as Azure ML, Python, SQL and CI/CD pipelines is required, along with five years of production ML leadership experience.
AzureML, Vertex, SageMaker, Snowflake, Databricks, Tableau
High Tech Genesis
10+ YOECandidates need 10+ years building production distributed systems, strong Java and Spring Boot skills, and solid AWS and edge computing experience. They also need ML serving experience, and a track record of taking systems from 0 to 1 and communicating architecture decisions across teams.
AWS, Spring Boot, GitHub Copilot, Databricks
Cover Genius
8+ YOECandidates need 8+ years in data science or machine learning, including 2 to 3 years shipping LLM-based or agentic systems to production. They need deep LLM evaluation skills, strong Python, and experience influencing technical direction beyond their own team.
Python, AWS Bedrock, Temporal
Life360
6+ YOECandidates need 6+ years of Android engineering experience shipping consumer apps, 1+ year of AI-assisted iOS work, and experience with Google Play Billing and StoreKit. They also need Kotlin, Jetpack Compose, mobile performance skills and familiarity with A/B testing.
Android Studio, Gradle, Fastlane, GitHub Actions, Bitrise, Perfetto
Paralucent
Candidates need proven experience as a software, AI, platform or cloud developer in complex enterprise settings. They also need strong programming skills, exposure to AI, GenAI or LLM applications, and experience with APIs, databases and AWS or Azure.
AWS, Azure, Jira, ServiceNow, Confluence, Azure DevOps
Fetch
6+ YOECandidates need 6+ years of machine learning or software engineering experience, including owning production ML systems at scale in personalization, relevance, search or ad tech. A bachelor's degree in a technical field and strong distributed systems and system design skills are required.
Machine learning, ML, Coaching, Computer science, Child care
21 companies