1 to 25 of 26 pydantic Jobs

with Python, TypeScript, and .NET development. Hands-on experience building and deploying AI applications in production. Experience with MCP or orchestration frameworks (LangChain, LangGraph, Pydantic AI). Strong understanding of LLM infrastructure (routing, caching, inference optimisation). Experience with LLM observability tools (eg Langfuse). Strong communication skills and ability ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect) Hands-on experience with AI/ ...

measurable improvements in throughput, quality, and developer experience Responsibilities Design and build AI‐powered services and APIs (FastAPI, Python) Implement structured outputs and validation (Pydantic V2) Develop agent‐based and multi‐step workflows (e.g. PydanticAI or similar) Build RAG‐style solutions for contextual data retrieval Integrate AI services into .NET ...

Familiarity with GCP/cloud infrastructure Experience in recruiting tech, marketplaces, or matching systems The Stack A modern Python stack: FastAPI, Postgres, Redis, Docker, Pydantic AI , running on GCP. Frontend in React/TypeScript. We iterate fast and keep the codebase clean. What We Offer Above market salary ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers ...

Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure ...

Edge Computing: Familiarity with running models under local hardware constraints (e.g., ONNX, TensorRT, CoreML). Programming Proficiency: Advanced skills in orchestration frameworks such as: Pydantic AI, AutoGen, or LangGraph. Education: Degree in Computer Science, Robotics, Engineering, or equivalent practical experience. #J-18808-Ljbffr ...