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 ❯
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 ❯
startup environment. Requirements: 1st class - 2;1 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 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 ❯
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 ❯
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 ❯
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 ❯
