301 to 325 of 407 FastAPI Jobs

Senior Backend Engineer – Python | Django | FastAPI | AWS Build systems that power the future of AI Are you a high-agency backend engineer who thrives on solving complex problems at scale? Do you enjoy designing secure, production-grade systems and shipping robust APIs that make advanced technology accessible? Would you like to shape core infrastructure for AI-powered products in a … from the ground up in a company that genuinely values engineering excellence. Why This Role is Great In this role, you’ll get to: Design scalable backend architecture using FastAPI and Python for high-performance workloads Build and maintain robust APIs following RESTful conventions and OpenAPI/Swagger standards Own the performance of PostgreSQL databases , including partitioning, indexing, and horizontal … recovery About You You might come from a variety of backgrounds, but you’ll thrive in this role if you’re excited to: Work with modern tools like Python, FastAPI, PostgreSQL, Docker, and AWS Engage with real-time systems and AI model integration pipelines Build on your experience of deploying APIs, writing clear documentation, and maintaining strong testing practices Apply More ❯

You’ll be part of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining … reliable infrastructure. Collaborating with cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment More ❯

You’ll be part of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining … reliable infrastructure. Collaborating with cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment More ❯

You’ll be part of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining … reliable infrastructure. Collaborating with cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment More ❯

You’ll be part of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining … reliable infrastructure. Collaborating with cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment More ❯

You’ll be part of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining … reliable infrastructure. Collaborating with cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment More ❯

and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications (FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor … and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/GitHub, CI/CD) Experience More ❯

and data infrastructure. You'll work closely with data engineers, AI specialists, and frontend developers to deliver robust, production-quality software. Key Responsibilities: Build and maintain Python web applications (FastAPI preferred) Integrate AI/ML components with backend, data, and compute infrastructure Deliver clean, well-documented code following best practices Implement automated testing frameworks and CI/CD workflows Monitor … and improve performance metrics across deployed tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/GitHub, CI/CD) Experience More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback … pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data More ❯

Software Engineer - Python/FastAPI/React/Functional programming/Typescript Location: London, UK (Hybrid) Type: Full-time Level: Mid to Senior Salary: £70,000 to £100,000 Company: VC back Startup About the Role: This startup is building a cutting-edge platform to transform how engineers design physical products. Instead of creating one solution at a time, this … brilliant minds from Cambridge, MIT, and Google across Software Engineering, Data Science, Theoretical Physics, and Computational Geometry. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and … moving, early-stage product Requirements Bachelor's degree in Computer Science 2+ years of experience building web applications in a production environment Strong experience with Python and API frameworks (FastAPI, Flask, etc.) Proficiency with React and TypeScript Comfort or interest in functional programming principles and clean code architecture A genuine interest in engineering and the physical world Ability to thrive More ❯

What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well-tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/ More ❯

Technical Lead (Python) | £70,000 - £90,000 | Leeds (hybrid)| Tech-for-Good | AWS | Flask/FastAPI/Django Locations: Leeds - 2 days a week on-site Salary Expectations: £70,000 - £90,000 (DOE) Are you an experienced Python Engineer ready to take ownership of technical direction while staying fully hands-on? We’re partnered with a purpose-led organisation using … while influencing architecture, mentoring others and driving best practices across the stack. What you’ll be doing Designing and developing new features and backend services using Python with Flask, FastAPI or Django Collaborating closely with frontend engineers working in React or Vue to build seamless, user-first experiences Owning infrastructure decisions across AWS, Terraform and Docker Setting the standard for … for a chat to learn more about how you could help shape something meaningful. Technical Lead (Python) | £70,000 - £90,000 | Leeds (hybrid)| Tech-for-Good | AWS | Flask/FastAPI/Django More ❯