351 to 375 of 407 FastAPI Jobs

components with data, compute, and frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system … to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong More ❯

roadmap and translate requirements into technical delivery. Technical Excellence Set standards for code quality, testing, and secure-by-design practices. Guide teams in modern software engineering practices across Python, FastAPI, Docker, Kubernetes, Ansible, Bash, Ruby, JavaScript , and related technologies. Provide architectural oversight on distributed systems, APIs, and integrations with GPU/HPC infrastructure. Maintain expertise in emerging technologies including Generative … similar). Proven track record of leading distributed engineering teams in Cloud, AI, or HPC-related environments . Hands-on experience in one or more of the following: Python, FastAPI, Kubernetes, CI/CD pipelines, Ansible, Docker, Bash, Ruby, JavaScript . Experience delivering customer-facing platforms and APIs at scale. Strong understanding of cloud architecture (IaaS/PaaS), GPU compute More ❯

Backend Software Engineer to lead development of APIs and data infrastructure supporting these ML applications. What you'll be doing: Develop backend systems for ML-driven applications using Python (FastAPI) Build data and compute integration pipelines with cross-functional AI teams Design testing and deployment frameworks for model reliability Work collaboratively in agile sprints alongside data and DevOps teams Key … Skills: Python, FastAPI, Git/GitHub, CI/CD, cloud infrastructure (GCP), automated testing (pytest) Nice to Have: Experience with ML model deployment or scientific data systems Ideal for: Engineers who thrive building robust, production-ready backends for AI/ML platforms. More ❯

Senior Backend Engineer, you'll play a central role in building and scaling the systems that power their insurance platform. You'll focus on developing Python-based cloud microservices (FastAPI preferred), contributing to the architecture of resilient, high-performance systems, and collaborating with a cross-functional team to deliver features at pace. This is a hands-on engineering position with … plenty of scope to influence technical direction, improve processes, and grow your expertise in distributed systems. What will I be doing: Design, develop, and maintain Python microservices (FastAPI) running in production. Take ownership of features end-to-end, from design to deployment and monitoring. Write high-quality, testable code with a focus on scalability and resilience. Collaborate closely with engineers … product managers, and designers to deliver quickly. Contribute to evolving architecture, tooling, and CI/CD practices. What experience do I need: Strong background in Python development (FastAPI, Flask, or Django). Good knowledge of microservices, APIs, and cloud-based infrastructure. Experience with SQL and NoSQL databases, Git, and CI/CD workflows. Solid engineering fundamentals - data structures, OOP, debugging More ❯

days required at the office. Why this role Real impact: Ship AI features that directly influence credit research and investment decisions. Modern stack: AWS Bedrock, Python/FastAPI, RAG/GraphRAG, vector databases, and strong automated testing. Engineering culture: Clean code, measurable quality, and shipping to production—regularly. What you’ll do Design and deliver advanced AI applications on AWS … Bedrock (including Converse API interfaces). Build high-performance Python/FastAPI services with comprehensive automated tests. Implement RAG/GraphRAG architectures using knowledge graphs and vector DBs (e.g., OpenSearch , Neptune Analytics ). Create scalable API endpoints for model serving; optimize latency, throughput, and cost . Develop evaluation frameworks and load testing (e.g., Locust ) to ensure reliability at scale. Establish … testcontainers ). Apply API security best practices across microservices. What you’ll bring 3+ years building AI/ML services and Python backends in production. Strong software engineering with FastAPI and RESTful design. Hands-on with pytest/unittest , testcontainers , and performance testing (e.g., Locust ). Experience implementing RAG/GraphRAG for enterprise use cases. Proficiency with AWS Bedrock (model 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 … codebase 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 ❯

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Software Engineer (Power Apps) Location: Telford- Hybrid Duration: 6 Months Pay Rate More ❯

experience in most of the following: - Strong commercial python development experience - Experience working on business transaction projects (pension, banking, accounting, payments, back-office processing etc) - Framework experience - Flask,Django, FastAPI etc - Solid MySQL skills - Experience working in a fast-paced financial services/accounting - Azure cloud exposure - Strong communication and stakeholder engagement skills - Any experience integrating automation solutions into existing … development and progressing quickly in this market leading company please apply now. Python Developer London, Birmingham, Manchester, Leeds, Bristol (long term remote working) Python, Flask ,Azure, MySQL, API, Django, FastAPI, accounting, financial services More ❯

next-generation data and intelligence platform. You'll play a key role in building performant, modern web applications that visualise complex data and integrate seamlessly with a Python/FastAPI backend. The team values clean, reliable, and maintainable code - so this is a great opportunity to make an impact in both product and technical decision Location: Remote (UK) Contract … Previous experience in data-heavy systems or B2B SaaS Key Responsibilities: Develop and maintain responsive frontend applications using React and TypeScript . Collaborate with backend engineers to integrate APIs (FastAPI, SQLModel, PostgreSQL). Optimise performance and scalability of frontend components for complex data workloads. Implement clean, reusable UI components and modern design patterns. Work closely with product and data teams More ❯

technical stakeholders define their needs. What you will do Own delivery of end-to-end automation and AI workflows using Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly … led work that shows value quickly, then scale the right solutions What experience will you have? 5 to 8 years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI More ❯

technical stakeholders define their needs. What you will do Own delivery of end-to-end automation and AI workflows using Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly … led work that shows value quickly, then scale the right solutions What experience will you have? 5 to 8 years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI More ❯

technical stakeholders define their needs. What you will do Own delivery of end-to-end automation and AI workflows using Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly … led work that shows value quickly, then scale the right solutions What experience will you have? 5 to 8 years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI More ❯

technical stakeholders define their needs. What you will do Own delivery of end-to-end automation and AI workflows using Python and SQL, with frameworks such as Streamlit and FastAPI, plus cloud orchestration Build reusable components and templates to accelerate future delivery Integrate LLMs into production use cases, including prompt engineering, RAG pipelines and agentic patterns where appropriate Work directly … led work that shows value quickly, then scale the right solutions What experience will you have? 5 to 8 years’ in developing AI/ML solutions API development with FastAPI or Flask Orchestration and automation, for example Airflow or asyncio Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI More ❯

/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 2–4+ years building production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/… orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram More ❯

/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 2–4+ years building production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/… orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram More ❯

/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 2–4+ years building production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/… orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram More ❯

/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 2–4+ years building production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/… orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram More ❯

/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 2–4+ years building production backends/services , with shipped work and clear ownership. Strong Python (FastAPI) and database skills ( PostgreSQL/MongoDB ); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/… orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram More ❯

Become a core member of the company and execute on ambitious milestones, taking ownership of projects. Work closely with the leadership team within a highly collaborative company culture. Own the design and implementation of infrastructure for reliable and highly performant More ❯

and own development initiatives. *Responsibilities* * Design, build, and maintain web services and applications with a focus on quality and usability and reliability. * Build and maintain backend services (Python/FastAPI or Ruby on Rails) deployed in AWS. * Develop Vue.js front-ends for highly interactive training and workflow applications. * Contribute to architecture decisions for new products and internal tools. * Collaborate with … least one backend stack in using Python, Ruby, Node or Go (we use a mix of Python and Ruby*). *Familiarity with related tools and frameworks such as Rails, FastAPI, Pydantic, etc. * Proficiency in modern front-end frameworks, such as Vue and React (we use Vue) * Solid understanding of AWS (ECS, S3, CloudFront, Lambda, RDS/DynamoDB, Cognito, etc.). More ❯

Full-Stack Engineer – London (Hybrid) Our client is a fast-growing software business delivering market-leading ticketing products to forward-thinking organisations worldwide. Their platform is used by hundreds of thousands of people and powers ticket sales for some of More ❯

Full-Stack Engineer – London (Hybrid) Our client is a fast-growing software business delivering market-leading ticketing products to forward-thinking organisations worldwide. Their platform is used by hundreds of thousands of people and powers ticket sales for some of More ❯

Full-Stack Engineer – London (Hybrid) Our client is a fast-growing software business delivering market-leading ticketing products to forward-thinking organisations worldwide. Their platform is used by hundreds of thousands of people and powers ticket sales for some of More ❯

Full-Stack Engineer – London (Hybrid) Our client is a fast-growing software business delivering market-leading ticketing products to forward-thinking organisations worldwide. Their platform is used by hundreds of thousands of people and powers ticket sales for some of More ❯

Full-Stack Engineer – London (Hybrid) Our client is a fast-growing software business delivering market-leading ticketing products to forward-thinking organisations worldwide. Their platform is used by hundreds of thousands of people and powers ticket sales for some of More ❯