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Safe Software
7+ YOECandidates need about 7 years of production backend experience and depth in a modern backend language, ideally with FastAPI. They should have hands-on work with LLM-based agentic applications and LLM evaluation, plus a proven ability to lead ambiguous technical projects.
FastAPI, LangChain, FME, Docker, Kubernetes, pgvector
Extreme Networks
Candidates need to be enrolled in school and have a portfolio of digital and traditional artwork. They should know Adobe After Effects, Premiere, Illustrator, Photoshop and PowerPoint, and stay organized with good visual and communication skills.
Adobe After Effects, Adobe Premiere, Adobe Illustrator, Adobe Photoshop, PowerPoint
Tali AI
5+ YOECandidates need 5+ years of production ML or applied AI experience, deep evaluation experience, and experience with agentic systems. Strong Python, backend systems and data-pipeline skills are required.
Vertex AI, Cloud Run, GCP, Claude, TypeScript
FacilityOS
5+ YOECandidates need 5+ years in data engineering, including ETL/ELT pipelines and warehouse or lake architecture, plus hands-on work with Fabric or modern data stack tools. A bachelor's degree or equivalent practical experience is required, and familiarity with AI/RAG data needs and SOC2 or ISO27001 is an asset.
Microsoft Fabric, dbt, Airflow, Snowflake, BigQuery, Microsoft Graph API
LawZero
5+ YOECandidates need a computer science-related degree, an MSc or higher in machine learning or equivalent experience, and 5+ years of industry experience building complex ML workflows on high performance computing. Cloud, containerization, data infrastructure and deep learning research experience are also expected.
PyTorch, TensorFlow, JAX, AWS, GCP, Azure
LawZero
3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
LanceDB
10+ YOECandidates need 10+ years in customer- or partner-facing technical roles, ideally with data platforms or distributed systems. Strong Python skills, familiarity with Rust, deep knowledge of distributed systems and Kubernetes, and excellent communication skills to present to technical and executive audiences are required.
Python, Rust, Kubernetes, Terraform, Docker, Kafka
TextLayer
8+ YOECandidates need 8+ years of software engineering experience, including 3+ years building Python backend systems and owning production architecture. They also need hands-on experience with FastAPI, LLM-powered features, and working with customers or non-technical stakeholders.
Python, FastAPI, GitHub, Docker, GitHub Actions
7 companies