Senior Python Engineer (with AI experience)

🏢 Summary: Senior Backend Engineer role focused on designing, developing, and deploying scalable backend services and platform infrastructure using Python and FastAPI. The position involves working with PostgreSQL, Kubernetes, and CI/CD pipelines to deliver production-ready, high-performance systems. You will collaborate with cross-functional teams to build reliable, automated, and maintainable backend solutions. 🗂️ Requirements: 5+ years backend development experience in production environments, Strong proficiency in Python and FastAPI, Experience with relational databases, preferably PostgreSQL, Experience with TypeScript and Nx for tooling or automation, Hands-on experience with Kubernetes and Helm, Experience with Docker and containerization practices, Experience designing and maintaining CI/CD pipelines, Experience with observability, logging, and monitoring tools, Strong system design and problem-solving skills 📃 Skills: Python, FastAPI, PostgreSQL, TypeScript, Nx, Kubernetes, Helm, Docker, GitHubActions, CI/CD, AWS, GCP, Azure, Monitoring, Logging 🏢 Description: Our client is a leading European tech company building scalable, high-performance backend services and platforms for enterprise and AI-driven applications. Our mission is to combine cutting-edge backend technologies with reliable, automated DevOps practices, ensuring secure, maintainable, and high-quality systems for our clients. As a Senior Backend Engineer (Python / FastAPI) , you will play a key role in designing, developing, and deploying backend services, internal tools, and platform infrastructure. You will collaborate closely with product teams, frontend engineers, and DevOps to deliver robust, scalable, and production-ready solutions. Responsibilities: Develop and maintain backend services using Python (FastAPI) Work with PostgreSQL to design schemas, optimize queries, and ensure data integrity Build and maintain internal CLI tools using TypeScript Manage a monorepo using Nx Manage deployment workflows and infrastructure using Kubernetes (K8s) and Helm Implement CI/CD pipelines using GitHub Actions for automated testing and deployment Collaborate with cross-functional teams to improve system architecture, reliability, and scalability Troubleshoot and optimize performance across backend services and infrastructure Requirements: 5+ years of experience in backend development in a production setting with real users Strong proficiency in Python , especially building APIs with FastAPI Solid experience with relational databases, preferably PostgreSQL Experience with TypeScript / Nx for tooling or automation tasks Hands-on experience with Kubernetes (K8s) and Helm Familiarity with containerization best practices (Docker) Experience designing and maintaining CI/CD pipelines (GitHub Actions or similar) Strong problem-solving skills, system design thinking, and attention to detail Exposure to observability, logging, and monitoring tools Nice to Have: Experience with cloud platforms (AWS, GCP, Azure) Exposure to observability, logging, and monitoring tools Experience integrating backend systems with frontend or AI/ML pipelines Technology Stack: Backend: Python (FastAPI), PostgreSQL DevOps / Platform: Kubernetes (K8s), Helm, CI/CD (GitHub Actions) Internal tooling: TypeScript / Nx for CLI and automation tools Other: Docker, cloud infrastructure (AWS/GCP/Azure), monitoring and observability

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 Summary: Senior Python Backend Engineer role focused on building scalable backend services and APIs to power AI-driven investment research platforms for hedge fund clients. The position involves integrating AI/LLM capabilities, ensuring high reliability, compliance, and secure data delivery in production environments. Fully remote within the EU. 🗂️ Requirements: 6+ years professional Python development in production environments, Strong knowledge of REST API design, Strong understanding of backend architecture patterns, Experience delivering production-ready code, Experience troubleshooting live, customer-facing systems, Fluent English, Legal right to work in Europe 📃 Skills: Python, REST, API, AI, LLM, OpenAI, Anthropic, LangChain, Java, Go, Azure, SEC 🏢 Description: Empower the Future of Investment Research — Lead Innovation with Cutting-Edge AI and Backend Solutions! Remote (EU-based) opportunity with full remote work flexibility As a Senior Python Backend Engineer at our client, you will be working for an industry leader revolutionizing investment research through advanced AI-driven infrastructure. You will contribute to building scalable, reliable platform services that support complex AI workflows, expert network management, and data delivery—serving demanding hedge fund clients with strict compliance needs. This role offers a dynamic environment for growth and impactful technological innovation. Your main responsibilities: Design, develop, and maintain robust backend services and APIs in Python to support AI and data pipelines Collaborate with AI/ML teams to integrate language model capabilities into production systems Write well-structured, maintainable, and tested code with a focus on correctness and reliability Troubleshoot and resolve issues impacting live, customer-facing products Contribute to system architecture decisions and participate in code reviews Ensure compliance with SEC regulations and data security standards You're ideal for this role if you have: At least 6 years of professional experience in Python development in production environments Strong knowledge of REST API design and backend architecture patterns Proven experience delivering high-quality, production-ready code Ability to thrive in fast-paced, high-impact settings with live user products It is a strong plus if you have: (optional) Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, LangChain, or similar) Background in statically typed languages such as Java or Go, enhancing AI prompting and system design skills Familiarity with prompt engineering and handling structured LLM outputs Experience working with cloud infrastructure, preferably Azure Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in Europe will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: The offer is for a Python Backend Engineer to build and maintain scalable backend services and REST APIs in a collaborative product environment. The role focuses on developing clean, well-tested code and contributing to architecture and code quality from day one. It is a fully remote position with flexible contract options and long-term international projects. 🗂️ Requirements: 3+ years of professional Python experience, Strong knowledge of FastAPI, Django, or Flask, Experience with PostgreSQL, Experience with REST API design, Proficiency with Git, Experience with pytest, Experience with CI/CD workflows 📃 Skills: Python, FastAPI, Django, Flask, PostgreSQL, REST, Git, pytest, CI/CD, AWS, GCP, Azure, Docker, Kubernetes, Kafka, Redis, RabbitMQ, Poetry, uv 🏢 Description: About the role We're looking for a Python backend engineer to join a client team and build reliable, scalable services from day one. Responsibilities Design and maintain Python-based backend services and REST APIs Write clean, tested, well-documented code Collaborate with product and DevOps teams on feature delivery Participate in code reviews and architecture discussions Requirements 3+ years of professional Python experience Solid knowledge of FastAPI, Django, or Flask Experience with PostgreSQL and RESTful API design Comfortable with Git, pytest, and CI/CD workflows Good written and spoken English Nice to have AWS, GCP, or Azure Docker / Kubernetes Kafka, Redis, or RabbitMQ Poetry or uv for dependency management pre-commit hooks and code quality tooling We offer B2B contract or employment contract (umowa o pracę / umowa zlecenie) — flexible on the form Fully remote, flexible setup Long-term engagements with international clients Dedicated recruiter support through onboarding

🏢 Summary: The offer is for an AI Backend Engineer role focused on building and evolving large-scale digital platforms using Python, Django, and modern cloud infrastructure. The position combines backend ownership, React-based frontend contributions, AWS and Kubernetes deployments, and practical use of AI tools to automate and accelerate development. It emphasizes end-to-end feature delivery, production reliability, and high autonomy within a senior engineering team. 🗂️ Requirements: Minimum 6 years of professional software engineering experience, Strong production experience with Python, Strong production experience with Django, Experience with JavaScript, Experience with React and modern hooks, Experience with AWS services, Experience with Kubernetes and container deployments, Experience building and maintaining production systems, Experience with API design, Experience with data modeling, Ability to design systems and make independent technical decisions, Ability to work with complex existing codebases 📃 Skills: Python, Django, JavaScript, React, AWS, Kubernetes, Docker, REST, CI/CD, APIs, Cloud, AI, LLM 🏢 Description: Client Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship. Project overview This project focuses on building and evolving digital platforms that support music-related products and internal systems at a global scale. The work combines backend services, modern user interfaces, cloud infrastructure, and AI-driven automation to improve how software is built and delivered. Team You will work within a senior engineering team made up of backend, frontend, and infrastructure specialists. The team collaborates closely, values clear ownership, and focuses on shipping production-ready solutions with minimal overhead. Position overview We are looking for an AI Backend Engineer who combines strong Python and Django experience with a product-oriented mindset and a practical, hands-on approach to using AI in daily development work. You will own features end-to-end and contribute directly to both product and technical direction in a low-process, high autonomy environment. Technology stack Python, Django, JavaScript, React, AWS, Kubernetes, Docker, REST APIs, CI CD pipelines, cloud native infrastructure Responsibilities Build and maintain backend services using Python and Django in production environments Contribute to modern React-based frontend applications using current component patterns and hooks Design and deliver features end-to-end from concept through implementation, deployment, and iteration Use AI tools to accelerate development, automation, and product delivery Identify opportunities to replace manual or repetitive work with AI-driven solutions Collaborate with senior engineers on system design, architecture, and production reliability Contribute to AWS based infrastructure and Kubernetes deployments Improve CI CD pipelines and support stable and reliable production systems Take ownership of production services with minimal day-to-day oversight Requirements At least six years of professional software engineering experience Production experience with Python and Django Experience with JavaScript and React, including modern hooks and component architecture Experience working with AWS services Experience with Kubernetes and container-based deployments Background in building and maintaining production systems Experience with API design, data modeling, and system-level thinking Ability to make independent technical decisions and take responsibility for outcomes Ability to ramp up quickly in existing and complex codebases Strong written and verbal communication skills and a proactive ownership approach Nice to have Experience building AI-powered products or integrations, such as LLM-based features, agents, or automation tools Startup or founder experience Experience working in fast-moving teams with lightweight processes What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: The offer is for a Senior Python Backend Engineer to design and maintain scalable, cloud-native backend systems on AWS, including REST APIs and AI/LLM integrations. The role focuses on distributed systems, asynchronous processing, observability, and high code quality within a modern CI/CD environment. It involves working with both serverless and containerized deployments in a collaborative, agile team. 🗂️ Requirements: 3–5+ years of professional Python backend development experience, Experience building cloud-native systems on AWS, Strong knowledge of REST API design and OpenAPI, Experience with asynchronous processing and queue-based architectures, Hands-on experience with core AWS services (Lambda, API Gateway, S3, IAM, ECS/EKS, CloudWatch), Knowledge of DynamoDB and NoSQL data modelling, Knowledge of PostgreSQL, SQL, and relational data modelling, Experience with serverless and containerized deployments, Experience integrating external APIs and third-party services, Experience with automated testing using pytest, Familiarity with CI/CD tools, Understanding of distributed systems, scalability, and reliability, Practical understanding of LLM-based or AI-driven applications, Ability to apply SOLID principles and clean code practices, Fluent English (written and spoken) 📃 Skills: Python, AWS, FastAPI, Pydantic, SQLAlchemy, boto3, REST, OpenAPI, Celery, SQS, Lambda, ECS, EKS, S3, CloudFront, IAM, SecretsManager, CloudWatch, DynamoDB, PostgreSQL, SQL, pytest, GitHubActions, Jenkins, NewRelic, Docker, Kubernetes, LLM, Cursor, Claude, Copilot 🏢 Description: We are looking for a Senior Python Backend Engineer with experience in building cloud-native backend systems on AWS. This role is focused on designing, developing, and maintaining scalable Python services, integrating AI/LLM-based capabilities, working with distributed systems, and ensuring high reliability, observability, and code quality. Your responsibilities: Design, build, and maintain backend services using Python in an AWS-based environment. Develop and maintain REST APIs together with clear OpenAPI documentation. Implement asynchronous processing and queue-based communication between services. Design data access patterns for application features using NoSQL and SQL storage. Integrate backend services with internal systems, external APIs, and AI/LLM-based components. Implement reliable communication patterns, including retries, timeouts, and circuit breakers. Build and maintain operational CLI tooling for day-to-day platform tasks (e.g. content ingestion). Contribute to architectural decisions across software and infrastructure as the stack evolves. Create observability for distributed systems, including logging, metrics, tracing, and alerting. Write automated tests and support high code quality across the backend codebase. Contribute to CI/CD processes and deployment automation. Collaborate with product, frontend, QA, DevOps, AI/ML teams, and content creators. Review code, share knowledge, and raise the bar for engineering practice across the team. We are looking for you, if you have: 3–5+ years of professional experience in Python backend development. Solid understanding of REST API design and OpenAPI standards. Experience with asynchronous processing and queue-based architectures, e.g. Celery, SQS. Experience with libraries and frameworks such as FastAPI, Pydantic, SQLAlchemy, boto3. Hands-on experience with core AWS services such as Lambda, API Gateway, S3, CloudFront, Secrets Manager, IAM, ECS/EKS, CloudWatch, etc. Good knowledge of DynamoDB and NoSQL data modelling. Good knowledge of PostgreSQL, SQL, and relational data modelling . Experience with both serverless (Lambda) and containerized (ECS/EKS) deployment models. Experience integrating with external APIs and third-party services. Experience with pytest and automated testing practices. Familiarity with CI/CD tools such as GitHub Actions and/or Jenkins. Experience with observability tools such as New Relic and CloudWatch. Understanding of distributed systems, scalability, reliability, and fault tolerance. Ability to apply SOLID principles, clean code practices, and common design patterns. Practical understanding of LLM-based applications or AI agentic frameworks. Ability to use AI development tools such as Cursor, Claude Code, or GitHub Copilot. Experience working in agile software development teams. Fluent English, both written and spoken. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.

🏢 Summary: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. ・Working with structured data, documents, tables, financial metrics, and normalized evidence flows. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good understanding of AI / ML product workflows or strong interest in building software around AI outputs. ・Experience designing and consuming API contracts, schemas, and structured JSON payloads. ・Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. ・Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: ・100% remote work. ・Opportunity to work on a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.

🏢 Summary: Python Developer role focused on building backend systems and AI/LLM integrations, starting with an open-source AI Red Teaming platform. The position involves developing a modular Python backend with integrations to major AI providers, real-time streaming, evaluation engines, analytics, and AWS deployment. Work includes commercial and open-source projects for international clients. 🗂️ Requirements: 3+ years commercial experience in Python backend development, Experience with Django, FastAPI, or Flask, Experience integrating AI/LLM APIs (e.g. OpenAI, Anthropic), Strong knowledge of PostgreSQL, Experience designing REST APIs, Experience with asynchronous programming in Python, Experience with Docker, Experience with CI/CD pipelines, Experience writing automated tests, Good command of English, Degree in Computer Science or related field 📃 Skills: Python, Django, FastAPI, Flask, PostgreSQL, REST, AsyncIO, Docker, CI/CD, OpenAI, Anthropic, Gemini, AWS, EKS, S3, RDS, WebSockets, SSE, LiteLLM 🏢 Description: We're looking for a Python Developer to join our team and work across a range of commercial and open-source projects focused on Python backend development and AI/LLM solutions. You'll build backends, design integrations with AI model providers, and contribute to products used by international clients. Project description: Your first project will be developing a Python-based backend for an open-source AI Red Teaming platform - a tool that enables organizations to systematically test and evaluate AI/LLM models for safety, fairness, and reliability. The project involves building a modular backend with integrations to major AI model providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, and others), real-time streaming, evaluation engine, analytics, and deployment on AWS. The platform will be released as an open-source product with a separate managed instance for the client. Requirements: - 3+ years of commercial experience in Python backend development - Experience with at least one modern Python web framework (Django, FastAPI, or Flask) - Practical experience integrating AI/LLM APIs into applications (e.g. OpenAI, Anthropic, or similar providers) - Solid knowledge of PostgreSQL and REST API design - Familiarity with async programming in Python - Experience with Docker and CI/CD pipelines - Experience writing automated tests - Good command of English (daily communication with an international client) - Degree in computer science or a related field Nice to have: - Experience with FastAPI - Experience with LiteLLM or similar LLM abstraction/routing libraries - Experience with real-time streaming (SSE, WebSockets) - Experience with AWS services (EKS, S3, RDS) - Familiarity with React or frontend technologies - Experience with open-source projects What We Offer - Fully remote work within a small, supportive team - Real responsibility from the start - no months of onboarding before you contribute - Variety - multiple projects mean diverse problems and technologies - Opportunities for professional growth, including contributions to open-source projects - A team culture built on transparency, trust, and fast feedback We look forward to hearing from you!