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Quandri
4+ YOECandidates need 4 to 6 years of professional data engineering experience, strong Python and SQL skills, and experience with cloud platforms and pipeline tools. Experience with multi-tenant systems, regulated personal data, and AI products is also required.
Databricks, dbt, Apache Airflow, Dagster, AWS Step Functions, Databricks Workflows
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
ContactMonkey
3+ YOECandidates need 3+ years of software engineering experience with LLM or AI/ML features in production, plus Ruby on Rails or similar backend and Vue.js or React experience. They also need infrastructure as code (Terraform preferred), working AWS knowledge, and experience building LLM evaluations.
Ruby on Rails, Vue.js, Amazon Bedrock, AWS EKS, Terraform, Terragrunt
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
LawZero
5+ YOECandidates need a bachelor's degree in a relevant field and 5+ years of experience with large distributed data processing or ML data frameworks. They should have owned a high-throughput system under real reliability and cost pressure.
Ray, Apache Spark, Apache Arrow, Parquet, Kubernetes, Slurm
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
Cohere: Cohere is the leading security-first enterprise AI company.
Candidates need hands-on experience building production Python software, deploying RAG and agentic LLM applications, and building evaluation frameworks. They also need experience leading technical discussions with enterprise stakeholders and owning use cases end to end.
Python, vector databases, LLM orchestration frameworks, North platform
Nexxa.AI
4+ YOECandidates need 4 to 8+ years of backend or ML platform engineering experience, strong TypeScript/Node.js skills, and experience serving LLM or ML models in production. A bachelor's degree in computer science or a related field is required.
Docker, Kubernetes, Kafka, PyTorch, TensorFlow, OpenCV
Nexxa.AI
3+ YOECandidates need 3+ years of experience in computer vision or machine learning, strong Python skills, and hands-on PyTorch and OpenCV work. Experience deploying CV models in production and familiarity with frameworks like YOLO or Detectron2 are also required.
PyTorch, OpenCV, YOLO, Detectron2, MMDetection, Hugging Face Transformers
Nexxa.AI
5+ YOENexxa.AI needs 5 to 10+ years of engineering experience, strong programming skills, and hands-on ML and generative AI work. Candidates also need cloud and container experience and strong communication skills for customer-facing work.
PyTorch, TensorFlow, OpenCV, Docker, Kubernetes, AWS
Menlo Security
Candidates need deep knowledge of AWS and GCP, container security, and web and API security testing. They also need scripting skills, experience with AI tools in security work, and the ability to write clear reports for product teams.
Burp Suite Professional, OWASP ZAP, Terraform, Gatekeeper, Binary Authorization
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
turbopuffer
Candidates need extensive experience in a systems language such as Rust, C++, Java or Go, and expertise in search internals, storage engines or distributed systems. Strong Linux debugging skills and the ability to write clear documentation are also required.
Linux, eBPF, perf, strace, gdb
turbopuffer
turbopuffer needs candidates who write clearly and explain complex ideas simply, are comfortable in Linux terminals and reading logs, and can code in Python or JavaScript/TypeScript. They must also build trust under pressure and work methodically to root cause.
Linux, Slack, Python, JavaScript, TypeScript
NetBrain
3+ YOECandidates need a bachelor's degree in a technical field and 3+ years in software or applied AI, including 2+ years running LLM or agent applications in production. Strong Python and distributed backend skills, plus experience with LLM evaluation and LLM security risks, are required.
LangSmith, LangChain, LangGraph, AutoGen, LlamaIndex
Welcome to the Jungle: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3 to 5 years of software or data engineering experience, recent hands-on work with LLM tools, and strong Python and TypeScript skills. They also need experience with RAG, vector search, an agentic framework, one major AI platform and one cloud platform, plus professional English.
Claude Code, Gemini CLI, Codex, Cursor, React, Terraform
13 companies