similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use of Jupyter Notebooks for quick prototyping. DevSecOps Practices: Understanding of secure coding and automated testing. Experience with Pytest or a Python testing framework. More ❯
with both a technical and non-technical audience Independent and self-driven learner, able to step outside of their area of expertise Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL Experience with transformer LLMs - attractive, nice to have Cloud (AWS) deployments and monitoring, basic networking More ❯
using Terraform, Docker, and Git-based workflows. -Write unit and integration tests using pytest, applying TDD principles where it makes sense. -Use ORMs and validation frameworks (e.g. Django ORM, Pydantic, SQLAlchemy) to model and persist data cleanly. -Help monitor and debug production systems using tools like CloudWatch, X-Ray, and structured logging. -Collaborate on prototype-to-production projects - balancing speed More ❯
As Backend Developer, you'll have the opportunity to work primarily on Pydantic Logfire, andoccasionally Pydantic and Pydantic AI. You'll be deeply involved in the development andmaintenance of our core paid product. What you will do Contribute to the development of Pydantic Logfire Write and maintain documentation and examples Engage with the community through GitHub discussions, issues, and other … GitHub for version control and community management Various testing frameworks and tools Documentation tools and static site generators CI/CD pipelines for automated testing and deployment About Us Pydantic Validation is the data validation library that powers modern Python development - 300 million downloads per month, used by virtually every tech company you've heard of. Why? Because we obsess … over developer experience and write code we'd actually want to use ourselves. We're applying that same engineering mindset to Pydantic Logfire , our observability platform built for today's development reality: AI workloads, multi-language environments, and cloud infrastructure that's designed to be straightforward to set up and maintain. We build with technologies developers actually want to work More ❯
awareness. Service Architecture : experience building and operating high-availability, distributed systems (microservices and event-driven). API Design : REST and gRPC, with versioning, throttling, auth, and schema validation (OpenAPI, Pydantic, Protobuf). Datastores : deep knowledge of RDBMS (PostgreSQL/MySQL), NoSQL (DynamoDB, Redis, Cassandra), and storage optimization techniques. Asynchronous Processing : familiarity with task queues (Celery, Sidekiq, SQS, Kafka consumers), cron More ❯
tech Ensure high-quality code and best practices. Write clean, maintainable and efficient code and ensure code quality through TDD and observability practices Develop RESTful APIs using FastAPI and Pydantic Work with SQL and NoSQL databases, as well as ORM tools like SQLAlchemy and SQLModel Participate in Agile XP methodologies like pair programming and code reviews Deploy applications to Google More ❯
requirements and solution architecture for complex AI systems. Strong experience building and consuming API services in Python, using FastAPI or similar. Strong experience with LLM frameworks such as langchain, Pydantic-AI, Google ADK, OpenAI's Assistants, litellm, etc (it's not required to know them all), and an understanding of how they facilitate agentic AI development. Strong practical knowledge of More ❯
production-grade systems end-to-end 1+ years of professional software engineering experience Solid Python skills and hands-on experience with agent frameworks (LangChain, Google ADK, etc ) Experience using Pydantic , and FastAPI Experience with SQL , DBT , and BigQuery Cloud infrastructure experience (preferably GCP) with Docker & Terraform Experience with AI development environments like Cursor, Windsurf, Claude Code TDD mindset and comfort More ❯
for technical products Preferred qualifications: Degree in Computer Science, Engineering, Data Science, HCI, AI, or related fields, or equivalent experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied AI and Machine Learning experience, familiarity with large language models Experience with Distributed Systems, Kubernetes, cloud platforms (AWS, GCP, Azure) Open source involvement or More ❯
to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms More ❯
to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms More ❯
team with deep experience in healthcare, operations, and applied AI. Tech Stack Infra/Ops : AWS, Terraform, Docker, Datadog, Sentry, Modal Frontend : Next.js, React, PostHog, AWS Amplify Backend : FastAPI, Pydantic, PostgreSQL About the Role We're hiring a number of hands-on Lead Product/SoftwareEngineers to own key domains within our AI platform. You'll work closely with engineers More ❯
backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks including Langchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the More ❯
Python backend services, with additional OfficeJS API knowledge preferred Extensive knowledge of AI and machine learning ecosystems, including proficiency in modern RAG/Agent frameworks includingLangchain/Langgraph, Llamaindex, Pydantic, Vercel AI SDK, and DSPY Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the More ❯
Python Experience with the management of scientific and experimental wet labs data in a pharma context Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL Experience designing, implementing and maintaining relational data models with Python-based interfaces Experience developing frontend applications in a scientific context Experience building, optimizing and productionizing large scale deep learning More ❯
Python Experience with the management of scientific and experimental wet labs data in a pharma context Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL Experience designing, implementing and maintaining relational data models with Python-based interfaces Experience developing frontend applications in a scientific context Experience building, optimizing and productionizing large scale deep learning More ❯
a Senior GenAI Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures More ❯
/observability tools as needed Is this you? Minimum 5+ years of experience in full stack software engineering Expert-level knowledge of Python, especially in building production systems (Mypy, Pydantic, type hinting, Pytest, etc.) Experience with Vue.js and TypeScript, or a willingness to pick up Vue quickly if coming from React Strong grasp of web performance, frontend testing, and browser More ❯
collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story's Agent TCP/IP, Near's AITP), distributed systems, distributed AI architectures, and consensus mechanisms. Ability to lead and supervise other More ❯
likely to extend paying £475 per day In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP Servers Front End: some experience with Typescript, REACT Application Servers, web Servers, database Servers, docker Front End (TS/React) and a Back End … Python/FastAPI) leveraging a Python-based framework for LLMs and AI-agent (pydantic-ai). Everything will be hosted on AWS (currently EC2). If you have the above experience please send your CV for immediate consideration as our client are looking to hire ASAP - this is initially 6 months outside IR35 and remote working, £475 per day Senior More ❯
Growth Marketing & Developer Relations Engineer Last updated: 2025/06/30 Marketing & DevRel Engineer at Pydantic As a Marketing & DevRel Engineer, you'll join our team building and scaling Pydantic Logfire, our observability SaaS platform with first-class AI support. While marketing and developer relations are distinct disciplines, this role blends both-much of your marketing work will involve … dogfooding Logfire and Pydantic AI to create authentic content, tutorials, and documentation that genuinely helps developers. You'll own the growth engine for our platform, combining technical expertise with marketing savvy to drive adoption. This role offers significant autonomy to define the right mix of activities that suits your instincts and our business needs as we scale with our current … SEO, establishing Logfire as the go-to resource for observability best practices Build and nurture our email marketing program, including a technical newsletter for the developer community Represent & support Pydantic at conferences, meetups, and in online developer communities Manage social media presence with authentic, developer-focused content Implement growth experiments across the funnel, from awareness to activation Optimize our website More ❯
extend this is paying £475 a day In order to be considered for this role you will need to have - Python, SQL, Unix, Cloud (AWS preferred) LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP servers Front end: some experience with Typescript, REACT Application servers, web servers, database servers, docker Some context: frontend (TS/React) and a backend … Python/FastAPI) leveraging a Python-based framework for LLMs and AI-agent (pydantic-ai). Everything will be hosted on AWS (currently EC2) If you have the above experience please send your CV for immediate consideration as our client are looking to hire ASAP - this is initially 6 months outside IR35 and remote working, daily rate dependent on experience More ❯
