1 to 25 of 103 Remote FastAPI Jobs

GPT models, Anthropic Claude) and fine-tuning techniques. Strong understanding of RAG architectures and vector database integration (e.g., Opensearch, Pinecone, Weaviate). API Development: FastAPI, Flask, Django Containerization: Docker, AWS ECS, Kubernetes Cloud & Data Tools: Experience with cloud platforms such as AWS (SageMaker preferred), GCP Vertex AI, or Azure ML More ❯

and Vue.js Prior experience working in a cybersecurity role Demonstrated ability to learn and adapt to emerging technologies Familiarity with SQLAlchemy and PostgreSQL, Redpanda, FastAPI, and Pydantic. Software design and implementation experience with event-modeling and data integration as it relates to distributed systems. Benefits We Provide Equity at a More ❯

and Vue.js Prior experience working in a cybersecurity role Demonstrated ability to learn and adapt to emerging technologies Familiarity with SQLAlchemy and PostgreSQL, Redpanda, FastAPI, and Pydantic. Software design and implementation experience with event-modeling and data integration as it relates to distributed systems. Benefits We Provide Equity at a More ❯

as Python, SKLearn, XGBoost, SparkML, etc. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing. Experience with CI/CD pipelines (e.g., DevOps pipelines, Git actions). Knowledge of infrastructure as code (e.g. More ❯

deployment) Familiarity with REST APIs and version control (Git) Able to work independently and take full ownership of features Nice to Have: Experience with FastAPI, Flask, or Django Knowledge of asyncio or asynchronous programming Familiarity with CI/CD and cloud environments (AWS/GCP) Working Model: Hybrid role – regular More ❯

or equivalent work experience Bonus Points Additional skills that would be beneficial include: Experience in a startup environment Knowledge of Python frameworks (Django, Flask, FastAPI), Rust, and machine learning libraries Familiarity with Generative AI, MLOps, CI/CD, and cloud platforms (AWS/GCP/Azure) Expertise with container tools More ❯

and CI/CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend More ❯

trends and technologies to keep the tech stack efficient. Requirements: Proven experience as a Full Stack Engineer Expertise in back-end (Python, Typescript, Node.js, FastAPI) and front-end (NextJS, React) technologies. Familiarity with cloud services (AWS, Azure, Google Cloud), containerization tools (Docker, Kubernetes), and CI/CD pipelines. Location: Hybrid More ❯

trends and technologies to keep the tech stack efficient. Requirements: Proven experience as a Full Stack Engineer Expertise in back-end (Python, Typescript, Node.js, FastAPI) and front-end (NextJS, React) technologies. Familiarity with cloud services (AWS, Azure, Google Cloud), containerization tools (Docker, Kubernetes), and CI/CD pipelines. Location: Hybrid More ❯

years' experience in software/application development Full-time on-site in Chantilly, VA with core hours of 9am - 3pm Python development experience, including FastAPI and SQLAlchemy Familiarity with Linux OS Experience with Cloud Infrastructure (AWS, etc.) Experience with CI/CD tools like Jenkins and GitHub Understanding of how More ❯

data scientists, software engineers, and product managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. More ❯

data scientists, software engineers, and product managers to align AI solutions with commercial goals. Financial services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. More ❯

join us: AWS: developing and deploying cloud native solutions using Terraform or similar IaC tools (ESSENTIAL) Server-side development using Golang, Node.js or Python FastAPI Relational database technologies, such as PostgreSQL, including experience with query optimisation and schema design Non-relational database technologies such as DynamoDB or MongoDB Familiarity with More ❯

issues. Maintenance & Scaling: Manage deployment, monitor performance, and ensure scalability. Required Skills & Qualifications: Programming Skills: Proficiency in PHP, JavaScript/TypeScript, Node.js, Django/FastAPI, React/Vue Full-Stack Development: Experience in building end-to-end applications, designing databases, creating APIs, and implementing UIs. Integration and API Knowledge: Handling More ❯

Non-Essential Skills Containerization: Hands-on experience with containerization technologies like Docker. Web Development: Experience with TypeScript and modern web frameworks such as React, FastAPI or Flask. Cloud computing experience. Familiarity with structural biology and structural biology workflows. Why Astex We offer excellent training and career development opportunities as well More ❯

patterns. Ability to convey ideas, designs and approaches through visual representations (diagrams, UML). Proficiency in Python and its eco-system, including Django and FastAPI frameworks. Proficiency with the SQL language and structuring relational database. Experience with document or timeseries databases is a plus. Understanding of web protocols and standards. More ❯

help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures More ❯

experience aligning backend APIs with frontend needs is essential. Ideal Candidate: 5+ years of Python expertise, with deep knowledge of Flask (or Django/FastAPI with repository pattern experience). Strong familiarity with JavaScript, TypeScript, and React (full-stack exposure is highly desirable). Proven track record in system refactoring More ❯

experience aligning backend APIs with frontend needs is essential. Ideal Candidate: 5+ years of Python expertise, with deep knowledge of Flask (or Django/FastAPI with repository pattern experience). Strong familiarity with JavaScript, TypeScript, and React Proven track record in system refactoring, modular design, and scalable architecture. Financial services More ❯

you also get a taste of our tech stack! Requirements This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, httpx, 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!) Rest More ❯

join us: AWS: developing and deploying cloud native solutions using Terraform or similar IaC tools (ESSENTIAL) Server-side development using GO, Node.js or Python FastAPI Relational database technologies, such as PostgreSQL, including experience with query optimisation and schema design Non-relational database technologies such as DynamoDB or MongoDB Familiarity with More ❯

where youll be responsible for developing scalable, high quality backend software products and mentoring junior developers Essential: Strong experience in Python backend development (Flask, FastAPI, or similar) Proven ability to design and build REST APIs. Experience with Cloud Functions and Cloud Runs Proficiency with containerisation tools like Docker/Kubernetes More ❯

pipelines & GenAI applications within Cloud environments. These projects are large-scale, complex and have a huge impact for their clients. Experience of Interest Python, FastAPI, Application Development. Data Pipeline Processing/Data Engineering Cloud expertise - AWS/GCP Terraform, Docker, Bash Github, CI/CD, Jira, Confluence Agile, Scrum, Kanban More ❯

code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL processes. Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP. Understanding algorithms & data structures; software & system design principles. Strong knowledge in Probability and Statistics (e.g. MLE; CLT; hypothesis More ❯

communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred More ❯