Jobs Python

Senior Python Developer для AI-агентів, LLM systems та agentic workflows.

🚀 Про Workeron.ai

Workeron.ai — AI startup, який створює AI агентів та digital employees для автоматизації реальних бізнес-процесів.

Ми не робимо черговий wrapper над ChatGPT.

Наша ціль — створювати AI-системи, які можуть виконувати реальні задачі всередині компаній та забирати рутину з команд.

Ми працюємо в режимі швидкої перевірки гіпотез:

24 ideas → 6 strong products → 1 scalable winner

Ми цінуємо:

• швидкість
• execution
• ownership

• product thinking

   

⚙️ Engineering Approach

Усі продукти розробляються у shared monorepo на базі:

• uv workspaces

• Turborepo

   

Наш підхід:

• modular monolith
• reusable components
• strict module boundaries
• можливість швидко перейти до microservices після PMF

Наша задача — рухатись швидко без технічного хаосу.

🌍 Формат роботи

• Fully remote
• International AI-focused environment

• Пряма співпраця з founders та Product Owners

   

💰 Compensation

• $4,000–6,000/month

   

💡 Про роль

Шукаємо сильного Senior Python Developer з реальним hands-on досвідом роботи з AI/LLM продуктами та agentic systems.

Ви будете працювати над AI агентами, multi-agent workflows, orchestration systems та швидкою розробкою MVP → production systems.

Ця роль підійде людині, якій подобається:

• швидко будувати продукти
• працювати з неоднозначними задачами
• поєднувати backend engineering та applied AI

• мати прямий вплив на продукт

   

🛠 Що потрібно буде робити

• Розробляти AI агентів та multi-agent workflows
• Будувати agent graphs з використанням LangGraph
• Створювати MVP та production-ready AI systems
• Інтегрувати LLM APIs, external tools та vector databases
• Проєктувати backend architecture на FastAPI + PostgreSQL
• Працювати з async workflows та orchestration systems
• Покращувати reliability та scalability AI systems

• Швидко перетворювати product ideas у working systems

   

✅ Requirements

• Strong Senior-level Python/backend experience
• Відмінне знання FastAPI та PostgreSQL
• Досвід створення AI/LLM продуктів
• Hands-on experience з LangGraph та agentic systems
• Розуміння modular architecture
• Вміння рухатись швидко без overengineering
• Високий рівень ownership

• English — Upper-Intermediate або вище

   

➕ Nice to Have

• React / Next.js
• Temporal
• Qdrant або pgvector
• LiteLLM, Traceloop, Ragas
• Product thinking

• Startup experience

   

🧰 Stack

Python · FastAPI · PostgreSQL · LangGraph · LLM APIs · Qdrant · pgvector · Docker · Turborepo · uv · Temporal

💎 Ми пропонуємо

• Fully remote
• Мінімум бюрократії
• Швидкий процес прийняття рішень
• Сильну AI-focused engineering environment
• Прямий вплив на продукт та архітектуру

• Можливість будувати AI systems від MVP до scale

   

📩 Як податись

Надсилайте:

• Актуальне CV англійською
• Ваш AI / LLM / LangGraph experience
• Telegram link

CodeTiburon is looking for a Founding AI Platform Architect (Python & Kubernetes) to become one of the first key engineers building a next-generation AI platform together with one of our long-term product partners.
 

Greenfield Product • Founding Engineering Team • Python • Kubernetes • LLMs • AI Agents • Knowledge Graphs • AWS
 

This is a rare opportunity to shape the technical foundation of a greenfield AI product from its earliest stages and have a lasting impact on its architecture, scalability, and evolution.
 

The Project
 

We're building a next-generation AI platform that combines LLMs, AI agents, knowledge graphs, and vector search to create reliable, production-grade AI systems.
 

The platform powers intelligent assistants capable of solving complex business problems through advanced orchestration, retrieval, and structured reasoning. Behind the scenes, we're building the distributed infrastructure that enables model inference, AI workflows, knowledge graph integrations, evaluation pipelines, and multi-tenant SaaS capabilities.
 

As part of our long-term engineering partnership, you'll become a founding member of the engineering team responsible for designing and building this platform from the ground up.

The Role
 

This is a highly autonomous, hands-on architecture role where you'll combine backend engineering, cloud infrastructure, and AI platform design.
 

You'll architect the platform, build core backend services in Python, design and evolve the Kubernetes infrastructure, and transform cutting-edge AI research into reliable, scalable production systems.

Working directly with AI researchers, domain experts, and product stakeholders, you'll translate ambitious ideas into production-ready capabilities while shaping the long-term technical direction of the platform.
 

If you enjoy building systems from first principles, making architectural decisions, and taking full ownership of complex engineering challenges, you'll feel at home here.
 

Responsibilities
 

• Design and evolve the overall architecture of the AI platform.
• Build scalable backend services and APIs using Python.
• Design, deploy, and operate production workloads on Kubernetes.
• Architect data storage, retrieval, and messaging solutions.
• Build the infrastructure powering AI agents, LLM inference, RAG pipelines, and knowledge graph integrations.
• Design integrations with external SaaS platforms and enterprise systems.
• Establish engineering standards, architectural principles, and development best practices.
• Evaluate and introduce technologies that improve scalability, reliability, security, and developer productivity.
• Collaborate closely with AI researchers, domain experts, and product stakeholders to bring new capabilities into production.
• Troubleshoot complex production issues across application, infrastructure, and Kubernetes layers.
   

What You'll Own
 

• The overall architecture of the AI platform.
• Technology selection and key architectural decisions.
• Production infrastructure running on Kubernetes.
• Platform scalability, reliability, observability, and performance.
• The technical foundation for future AI capabilities.
   

Requirements
 

Must Have

• Extensive experience designing and building production-grade backend systems in Python.
• Strong hands-on expertise with Kubernetes, including deploying, scaling, operating, and troubleshooting production workloads.
• Proven experience designing distributed systems, microservices, and cloud-native architectures.
• Strong architectural thinking and the ability to make independent technical decisions across application design, infrastructure, data storage, and system integration.
• Solid experience with PostgreSQL and designing scalable data models.
• Experience designing and building scalable REST APIs and integrating external SaaS platforms and enterprise systems.
• Strong understanding of asynchronous and event-driven architectures using technologies such as RabbitMQ, Kafka, or similar.
• Experience building secure, observable, resilient, and maintainable production systems.
• Demonstrated ability to take technical ownership and deliver complex projects from concept to production with a high degree of autonomy.
• Strong communication skills and experience collaborating directly with product stakeholders, domain experts, and engineering teams.
• Professional English proficiency (C1 or higher).
   

Nice to Have

• Experience building AI platforms or LLM-powered applications.
• Experience with LangGraph, LangChain, CrewAI, or other AI agent orchestration frameworks.
• Experience designing and implementing RAG pipelines.
• Experience with vector databases and semantic search technologies such as pgvector, Milvus, or Weaviate.
• Experience integrating knowledge graphs into production systems.
• Familiarity with AI model serving and inference infrastructure.
• Experience with GitOps, ArgoCD, Helm, or Kubernetes Operators.
• Experience with AWS, Azure, or GCP.
• Experience building multi-tenant SaaS platforms.
• Contributions to open-source projects, technical publications, or conference talks.
   

This Role Is for You If...
 

• You enjoy building products from scratch rather than maintaining legacy systems.
• You naturally think in terms of architecture, scalability, and long-term maintainability.
• You prefer technical ownership over simply implementing backlog tasks.
• You're comfortable making architectural decisions in environments with evolving requirements.
• You enjoy collaborating directly with AI researchers, domain experts, and product leaders.
• You value clean architecture, pragmatic engineering, and continuous learning.
• You're excited by the opportunity to build the technical foundation of next-generation AI products.
   

This Role May Not Be the Right Fit If...
 

• You prefer working from detailed specifications rather than defining technical direction.
• You're looking primarily for feature implementation instead of architecture ownership.
• You prefer working exclusively on application code without infrastructure responsibilities.
• You aren't comfortable making independent technical decisions with a high degree of autonomy.
   

Why Join Us
 

• Build a greenfield AI platform from day one.
• Become one of the first engineers shaping the product and its architecture.
• Work at the intersection of AI, distributed systems, and cloud infrastructure.
• Collaborate directly with AI researchers and domain experts.
• Own major architectural decisions with real product impact.
• Solve technically challenging problems instead of implementing routine backlog tasks.
• Help define the engineering culture, standards, and long-term technical vision of the platform.
   

If this opportunity matches your experience and ambitions, we'd love to hear from you. Please send us your CV.
 

Every application is carefully reviewed. Candidates whose experience and background best match the role will be contacted regarding the next steps.

Description:
The project is an AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. It is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements

• 4+ years of professional experience in backend software development.
• Strong proficiency in Python
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems.
• Experience with cloud platforms GCP and developing cloud-native applications.
• Familiarity with containerization technologies (Docker).
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is highly desirable.
• Experience with microservices architecture and distributed system design.
• Proficiency with version control systems, particularly Git.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job responsibilities

• Design and Develop Robust Backend Systems
• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC) that support our various data products and AI platforms.
• Write clean, maintainable, and efficient code in Python using best practices and appropriate design patterns.
• Collaborate with architects and senior engineers to define system architecture, data models, and integration strategies.
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem.
• Ensure Scalability, Reliability, and Performance
• Optimize existing backend services for maximum speed, scalability, and stability, handling large volumes of data and traffic inherent in the AdTech domain.
• Implement robust monitoring, logging, and alerting solutions to proactively identify and address system issues.
• Participate in performance tuning, troubleshooting, and debugging of complex backend systems.
• Contribute to the continuous improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions.
• Uphold Code Quality and Best Practices
• Conduct thorough code reviews, ensuring adherence to coding standards, security best practices, and architectural guidelines.
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components.
• Contribute to technical documentation, including API specifications, architectural diagrams, and system runbooks.
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives.

Who we are

Adaptiq is a technology hub that helps fast-growing product companies build, scale, and support strong R&D teams across different industries.
 

About the Product

We are developing an AI-first maritime intelligence platform that combines multiple global maritime data sources into one operational view. The product creates a digital twin of worldwide maritime activity and uses behavioral analytics, predictive AI models, and advanced data processing to detect risks such as smuggling, illegal fishing, container threats, and other compliance or security issues.

The platform is used by commercial, regulatory, and government customers, operating at global scale and processing millions of events along with terabytes of geospatial data every day. It is built on cloud infrastructure, microservices, and close integration with research and data science prototypes.
 

About the Role

As a Senior Backend Python Engineer, you will join an autonomous team focused on building and scaling agentic, AI-first workflows within a production-grade maritime intelligence platform.

You will be responsible for designing, delivering, and operating backend services that support generative AI agents at scale. The role involves influencing architecture, improving AI-SDLC practices, and helping shape agent-based automation used in real-world defense, regulatory, and enterprise scenarios.
 

Key Responsibilities

• Design and develop scalable Python-based microservices for agentic workflows, data pipelines, and distributed systems.
• Contribute to frontend development with React when needed.
• Integrate generative AI capabilities into production systems, including LLM APIs, RAG pipelines, and autonomous agents.
• Build operational practices and observability for AI components, including monitoring for model drift, hallucinations, and performance metrics.
• Implement and improve AI-SDLC standards, including code reviews, automated testing, CI/CD pipelines, and trace-based quality evaluation.
• Design and maintain infrastructure as code using Terraform, Kubernetes, and AWS services.
• Improve engineering velocity and product quality through automation, tooling, and architecture improvements.
• Mentor engineers on AI frameworks, developer tools, and best practices for high-scale agentic development.
• Work closely with product and research teams to turn user needs into reliable, secure, and scalable backend services.
   

Required Skills and Experience

• 7+ years of professional backend engineering experience.
• At least 2 years of experience building agentic or autonomous AI workflows in production.
• Strong hands-on experience with Python.
• Practical experience with agentic frameworks such as LangChain, LangGraph, DeepAgents, CrewAI, OpenClaw, Hermes, or similar.
• Proven experience designing scalable, event-driven architectures on AWS.
• Experience with messaging systems such as SQS/SNS and SQL/NoSQL databases.
• Strong understanding of GraphQL or REST API design.
• Solid DevOps background, including CI/CD, Kubernetes, and Terraform.
• Experience with production-grade security, monitoring, and incident response for mission-critical systems.
• Strong communication skills, autonomy, ownership, and ability to work in fast-paced, ambiguous environments.
   

Nice to Have

• Experience with React.js or full-stack development.
• Familiarity with vector databases and similarity search for AI applications.
   

Why Us

• 20 vacation days per calendar year, plus official national holidays in the country where you are based.
• Full accounting and legal support in all countries where we operate.
• Fully remote work model.
• Powerful workstation provided.
• Co-working space support if needed.
• Competitive compensation package with annual performance and salary reviews.

We're looking for a Junior AI-Native Full-Stack Python Developer who is passionate about software engineering and excited to build real products using modern AI tools.

Experience: 6+ months of commercial experience plus personal, freelance, university, or open-source projects that demonstrate your passion for software development.

At Flexipy, you'll build production software for international clients in SaaS, AI, and business automation. We're looking for developers who enjoy solving real problems, communicate well, and are ready to take responsibility for their work. You'll collaborate with experienced engineers while continuously expanding your technical and product expertise.

We believe modern software engineers should know how to collaborate with AI, not compete against it. Claude Code, Cursor, ChatGPT, and similar tools are part of our daily development workflow. We expect every developer to know how to use AI responsibly to accelerate development while maintaining high engineering standards.

Core Technical Skills:

• 6+ months of commercial experience plus personal, freelance, university, or open-source projects that demonstrate your passion for software development
• Good understanding of Python Core (OOP, clean code, basic async)
• Experience with Django or FastAPI
• Basic understanding of REST APIs and backend architecture
• Basic knowledge of PostgreSQL or other relational databases
• Basic knowledge of React and JavaScript/TypeScript
• Experience using Git and collaborative development workflows

AI Development Skills:

• Daily experience using AI-assisted development tools such as Claude, Claude Code, Cursor, ChatGPT, GitHub Copilot, or similar
• Ability to write clear, structured prompts for software engineering tasks
• Understanding of prompt engineering fundamentals and effective context management
• Experience using AI for code generation, debugging, refactoring, documentation, testing, and research
• Ability to review, validate, and improve AI-generated code instead of accepting it blindly
• Curiosity to explore new AI tools and incorporate them into daily development workflows

Communication & Professional Skills:

• English level: B2+ (written and spoken) — comfortable communicating directly with teammates and clients
• Good communication and collaboration skills
• Responsibility and ownership of assigned tasks
• Self-organization and attention to detail
• Strong problem-solving mindset
• Curiosity, continuous learning, and willingness to grow professionally
• Ability to receive feedback and continuously improve

What You'll Do:

• Build backend features using Django or FastAPI
• Contribute to real client projects in SaaS, AI, and business automation
• Build and maintain REST APIs
• Fix bugs and implement new features
• Support frontend development using React
• Work with PostgreSQL and integrate third-party APIs when needed
• Write clean, maintainable, and well-documented code
• Use AI tools such as Claude Code, Cursor, and ChatGPT as part of your daily development workflow
• Participate in code reviews, daily syncs, technical discussions, and occasional client meetings
• Continuously improve your technical, product, and AI development skills

Nice to Have:

• Docker and Docker Compose
• Celery and Redis
• Basic CI/CD knowledge
• Experience with OpenAI, Anthropic, or other LLM APIs
• Testing fundamentals (Pytest, frontend testing)
• AWS, DigitalOcean, or other cloud platforms
• Active GitHub profile or open-source contributions

What We Value:

• Responsibility and ownership
• Honest and open communication
• Curiosity and continuous learning
• Attention to detail
• Teamwork and collaboration
• Product mindset
• Long-term commitment and professional growth

What We Offer

• Fully remote work
• Flexible working hours (start between 8:00–10:00)
• Work on modern international SaaS, AI, and automation products
• Mentorship from experienced engineers
• Daily use of modern AI development tools and workflows
• No micromanagement or screen monitoring
• Daily team syncs and weekly planning
• Friendly and collaborative engineering culture
• Learning budget after successful probation (courses, books, certifications)

Compensation:

$500–800/month, depending on your technical assessment, experience, communication skills, and interview results.

Career Growth:

We believe in growing engineers—not just filling positions.

We conduct a performance and salary review after approximately 6 months, focusing on your technical growth, ownership, communication, and overall contribution to the team.

Our goal is to provide a clear and transparent career path:

Junior Full-Stack Developer

⬇️ After consistently demonstrating technical growth, responsibility, and strong performance

Junior+ Full-Stack Developer

⬇️ After taking ownership of more complex features, working independently, and contributing to technical decisions

Middle Full-Stack Developer

Career growth at Flexipy is based on your impact, technical skills, communication, ownership, and continuous improvement—not simply the amount of time you've spent in the role.

Ready to Apply?

If you're passionate about Python, AI, and modern software development—and want to build real products while growing alongside experienced engineers—we'd love to hear from you.

Please include:

• Your CV or LinkedIn profile
• GitHub profile (if available)
• A few words about projects you've worked on (commercial, freelance, university, or personal)
• A short note describing how you use AI tools (Claude, Cursor, ChatGPT, Claude Code, etc.) in your daily development workflow
• Your English level and availability

About us

TeamCraft Roofing (TCR) is a commercial roofing contractor in the US - 300+ employees, projects in 30+ states, Fortune 500 clients. We are building the company's data and AI platform: AI agents in production over live business data, a document-processing service, a storm-response tool for the sales team, plus a data lakehouse and an in-house CRM currently being built.

About the role
You would join the platform team as its dedicated backend engineer, working directly with the core engineering team. The core of the role is the layer connecting our business systems, the data lakehouse, and the AI agents. It's a backend-first role - frontend is a small share of the work, but you shouldn't be blocked by it.

We build with AI coding agents as a normal part of the workflow, and we hold the quality bar anyway: agent-assisted or not, code ships reviewed, typed, and tested.

Responsibilities
- Build and maintain connectors for ERP, CRM, HR, and field-operations data. Not all of these systems have clean APIs - part of the job is making ingestion reliable anyway.
- Design and ship REST APIs (FastAPI) serving AI agents and internal applications
- Implement RAG pipelines for document-based assistants
- Build the service layer of our in-house CRM
- Contribute to the lakehouse build (medallion architecture on Azure)
- Occasionally build or modify an internal UI (Next.js) when the work calls for it

Tech stack
Python (FastAPI), SQLAlchemy, PostgreSQL (complex SQL, JSONB), Redis, OpenAI and Anthropic APIs, Next.js/TypeScript on the frontend, Docker, Azure, GitHub Actions. Claude Code in daily development.

Requirements
- 5+ years of Python backend development
- Strong SQLAlchemy; solid Pandas/NumPy for data processing
- Hands-on RAG or LLM-backend experience that real users touched
- You work with AI coding agents (Claude Code or similar) day to day - and you review what they produce before it ships
- Basic frontend ability: enough JavaScript/TypeScript to make changes in a Next.js/Vite app
- PostgreSQL performance tuning
- Pytest and type hints as a default working style - we hold an 80% coverage bar
- English B2+ for daily calls with the US team

Nice to have
- Azure ecosystem experience
- dbt
- OCR / document processing
- Construction or logistics domain experience

We offer
- 100% remote, long-term engagement
- Direct contract with the US company - no outstaffing, no agency in between
- Small team, short decision paths, real ownership of what you build

- hours overlap with US Eastern time
 

Hiring process
Intro call with the tech team -> technical interview, including a short live session driving Claude Code on a small task -> in some cases, a short paid test task -> offer

Phenomenon Studio is a boutique product design and development agency founded in 2019. We work with teams who’ve outgrown what they’ve built — from venture-backed startups to established market leaders — and own the work end to end: strategy, design, development, and post-launch.

The team of 70+ senior specialists is based in Europe, with entities in the USA, Estonia, and Switzerland, serving SaaS, fintech, healthcare, and EdTech. Across 120+ launches, clients have raised $500M+. Phenomenon is HIPAA-compliant, Nielsen Norman Group UX certified, and a Webflow Experts partner, holding a 5.0 rating on Clutch — and most clients come back for a second project.

Our customer is a GRC (Governance, Risk & Compliance Assessment) platform designed to automate risk assessment, vendor management, and compliance with security standards. It streamlines complex GRC processes by centralizing data, enabling efficient reporting, and reducing manual workload.

The product is used by universities and public sector organizations in the US.

Team: Solution Architect, 2x Backend, 2x Frontend, QA, PM, PO, UI/UX Designer

Requirements:

• 5+ years of commercial backend development experience
• Strong knowledge of Python 3.12+ and async programming (asyncio, async/await patterns)
• Strong hands-on experience with FastAPI (dependency injection, Pydantic, middleware)
• Solid experience with SQLAlchemy 2.0 (async), PostgreSQL (asyncpg), and Alembic migrations
• Experience building real-time features with Socket.IO (or equivalent WebSocket frameworks) - rooms, namespaces, auth, scaling across workers
• Experience with Redis and distributed task queues (Celery, or arq/dramatiq)
• Understanding of multi-tenant architectures and data isolation patterns
• Experience with JWT-based auth and role/permission-based access control (RBAC/ABAC)
• Discipline around clean layering - clear separation between routes, services, and repositories (no SQL in the service layer)
• Hands-on experience with AWS (ECS Fargate, RDS, ElastiCache, S3, Secrets Manager, IAM), Docker (multi-stage builds), and Bash
• Experience designing and operating microservices (service boundaries, inter-service communication via internal SDKs, observability)
• Experience with Infrastructure as Code using Terraform (AWS provider, module composition)
• Strong experience writing unit and integration tests (pytest, pytest-asyncio)
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level
   

Nice to have:

• Experience with aioboto3 or other async AWS interaction patterns
• Experience scaling WebSocket/Socket.IO deployments (sticky sessions, Redis adapter, horizontal scaling)
• Experience with performance profiling and query optimization at scale
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI)
• Familiarity with uv(Astral) or other modern Python package managers
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000, SOC 2)
• Experience with GRC (Governance, Risk, Compliance) domain

Responsibilities:

• Develop and maintain backend microservices using Python, FastAPI, and async SQLAlchemy
• Design efficient database schemas, write performant queries, and manage schema evolution via Alembic
• Build and maintain real-time features via Socket.IO - event flows, room/namespace design, and reliable delivery under load
• Implement asynchronous workflows using Redis and Celery where appropriate
• Contribute to the microservices architecture - propose improvements for scalability, reliability, and clear service boundaries; consume and evolve internal SDKs for inter-service communication
• Work within a multi-tenant environment - build features that respect tenant isolation and scale across tenants
• Provision and evolve cloud infrastructure on AWS via Terraform (ECS Fargate, RDS, ElastiCache, ALB, IAM), following IaC best practices
• Lead by example through code reviews, mentorship, and adherence to engineering standards (clean layering, tested code, meaningful abstractions)
• Collaborate with team members to align technical implementation with business goals
• Deploy and operate services using Docker and CI/CD pipelines
• Communicate effectively with stakeholders to clarify technical requirements and provide accurate estimations
• Take initiative to identify improvements, propose technical solutions, and contribute ideas that enhance product quality, performance, and security posture

What we offer:

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off
   

Recruitment process: Recruitment interview — Technical interview — Final interview

 

Job Description

• End-to-End Project Ownership: 2+ years of continuous experience on a single relevant project, guiding it through the entire lifecycle - from initial concept and deployment to production support and maintenance.
• Tech Lead Experience: Proven track record in a Tech Lead or Team Lead role, with experience mentoring developers and establishing engineering best practices.
• Python & Django Expertise: Extensive professional software development experience with deep, hands-on mastery of Python and the Django framework.
• AWS Competency: Practical familiarity with AWS infrastructure and core services, particularly serverless and messaging components (Lambda, SNS, SQS).
• Frontend Oversight Capability: A solid conceptual understanding of any modern JavaScript framework (such as Vue, React, or Angular) - enough to assess tasks, manage delivery, and unblock engineers. Deep frontend development expertise is not required.
• Infrastructure Basics: Practical familiarity with Docker and CI/CD pipelines to support platform migration initiatives.

Job Responsibilities

• Technical Leadership: Act as the Tech Lead for the engineering bench, driving code reviews and setting a high quality bar for overall team delivery.
• Backend Development: Take ownership of core backend services using Python and Django within a multi-region SaaS architecture.
• Infrastructure & Cloud: Work with AWS services (Lambda, SNS, SQS) to support application workflows and assist with the ongoing Kubernetes (K8s) migration.
• Frontend Oversight: Effectively manage and distribute tasks across the frontend scope (built on Vue.js), focusing on high-level architecture and task delivery rather than hands-on frontend development.

Department/Project Description

GlobalLogic is seeking a Fullstack Lead Engineer to step into a Tech Lead role for our engineering bench, supporting a sophisticated, regulated medical technology platform. This position is ideal for a seasoned backend-heavy leader with deep expertise in Python and Django, a solid understanding of AWS, and the ability to oversee a cross-functional engineering team.

As a Lead Engineer, you will set the quality bar for the team, drive code reviews, and ensure the operational excellence of the platform. While your hands-on focus will be primarily on scaling and maintaining our Python/Django services and AWS infrastructure, you will also oversee the frontend scope. You don't need to be a Vue.js expert - your role is to understand modern frontend architectures well enough to effectively delegate, manage, and unblock the frontend workload. Additionally, you will support strategic platform evolutions, including an upcoming Kubernetes migration.

WebParsers is seeking a talented Python Developer specializing in web scraping to join our dynamic team. We offer a collaborative work environment, flexible scheduling, and opportunities for growth. We're open to considering final-year students with relevant commercial experience.
 

Required Skills:

• Minimum 1 year of commercial Python experience
• Proficiency in web scraping, data gathering, and data cleaning
• Web automation expertise
• Hands-on experience with BeautifulSoup, Selenium, and lxml
• Work with SQL and NoSQL databases
• Ability to deploy scrapers on servers
• High self-management skills
• Great communication skills
• Take responsibility for tasks and ensure they are completed independently
   

Core Responsibilities:

• Design and implement efficient web scraping and parsing solutions
• Work closely with project managers to address client needs
• Optimize applications to meet project requirements
• Proactively learn new technologies and improve existing workflows
   

Preferred Skills (Nice to Have):

• Experience with Nodriver
• JavaScript proficiency
• Familiarity with Mobile Application Scraping (Android, IOS)
• Familiarity with Pandas for data manipulation
• Experience with CAPTCHA-solving services like 2Captcha and AntiCaptcha
• AI prompting knowledge is a plus
   

If you're passionate about data extraction and looking for a challenging role in a supportive environment, we'd love to hear from you. Join WebParsers and help us push the boundaries of web scraping technology!

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role:
We are looking for a Middle Python Engineer to join our clients team, who will build high-throughput data pipelines and shared memory infrastructure.

Responsibilities:
— Develop and optimize the core Pipeline Engine (Python DAG orchestrator);
— Maintain shared memory pools (C library) and develop Python/Go bindings;
— Design and scale low-latency ZeroMQ IPC layers;
— Implement FlatBuffers for high-performance metadata serialization;
— Support and expand the ProcessorWrapper infrastructure.

Requirements:
Must-have:
— Middle-level Python expertise, including deep understanding of concurrency, multiprocessing, GIL behavior, and memory management;
— Experience building internal developer platforms or tooling for ML pipelines, robotics systems, or real-time inference platforms;
— Solid experience with Docker and containerized environments;
— Solid Linux fundamentals;
— Models inference experience (preferably computer vision).

Nice-to-have:
— Basic understanding of CUDA, including IPC handle management, stream synchronization;
— Knowledge of C/C++/Go.

The client offers:
— Good compensation;
— Benefit package;
— Strong team and career growth;
— Challenges every day!

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role:
We are looking for a Senior Python Engineer to join our clients team, who will build high-throughput data pipelines and shared memory infrastructure.

Responsibilities:
— Develop and optimize the core Pipeline Engine (Python DAG orchestrator);
— Maintain shared memory pools (C library) and develop Python/Go bindings;
— Design and scale low-latency ZeroMQ IPC layers;
— Implement FlatBuffers for high-performance metadata serialization;
— Support and expand the ProcessorWrapper infrastructure.

Requirements:
Must-have:
— Senior-level Python expertise, including deep understanding of concurrency, multiprocessing, GIL behavior, and memory management;
— Experience building internal developer platforms or tooling for ML pipelines, robotics systems, or real-time inference platforms;
— Solid experience with Docker and containerized environments;
— Solid Linux fundamentals.
— Models inference experience (preferably computer vision)

Nice-to-have:
— Basic understanding of CUDA, including IPC handle management, stream synchronization;
— Knowledge of C/C++/Go.

The client offers:
— Good compensation;
— Benefit package;
— Strong team and career growth;
— Challenges every day!

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

     Skills requirements:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Deep understanding and hands-on experience with GraphQL (schema design, resolvers optimization, federation is a plus) along with traditional REST API approach;
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

     Optional skills (as a plus):

• Experience with Strawberry or Ariadne (Python GraphQL libraries);
• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

     Key responsibilities:

• Designing and developing high-performance Backend APIs using FastAPI and GraphQL;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.
   

  We offer:

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the WPP Open AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements:

• 3+ years of professional experience in backend software development
• Good proficiency in Python
• Proven experience building and maintaining RESTful APIs
• Solid understanding of database systems
• Experience with cloud platforms (GCP) and developing cloud-native applications
• Familiarity with containerization technologies (Docker)
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is a plus
• Good understanding of microservices architecture and distributed system design concepts
• Proficiency with version control systems, particularly Git
• Strong problem-solving skills, analytical thinking, and attention to detail
• Excellent communication and collaboration skills to work effectively within cross-functional teams

Job responsibilities:

Develop and Maintain Robust Backend Systems

• Develop, implement, and maintain scalable backend services and APIs (REST, gRPC) that support our various data products and AI platforms
• Write clean, maintainable, and efficient code in Python using team coding standards and appropriate design patterns
• Collaborate with architects and senior engineers to implement system architecture, data models, and integration strategies
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem

Support Scalability, Reliability, and Performance

• Optimize existing backend services for better speed, scalability, and stability, helping handle large volumes of data and traffic inherent in the AdTech domain
• Help implement monitoring, logging, and alerting solutions to identify and address system issues
• Participate in performance tuning, troubleshooting, and debugging of backend systems
• Contribute to the improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions

Uphold Code Quality and Best Practices

• Participate in code reviews, ensuring adherence to coding standards, security practices, and guidelines
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components
• Contribute to technical documentation, including API specifications and system runbooks
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives

Department/Project Description

GlobalLogic is looking for a Software Engineer to join a dedicated team delivering a high-fidelity medical technology platform. This role is designed for a developer with a primary focus on backend services and cloud infrastructure, contributing to the development of a multi-region SaaS architecture. While your core strengths should lie in backend logic and cloud environments, you will also have the opportunity to support Vue.js frontend tasks as needed to ensure end-to-end feature delivery.

Job Description

• Professional Experience: 2–4 years of experience in software development.
• Backend Expertise: Solid foundation in Python development.
• Cloud Knowledge: Working experience with AWS services and an understanding of multi-region architectures.
• Frontend Awareness: Basic familiarity with Vue.js; willingness to learn and contribute to frontend tasks when necessary.
• Execution Focus: Proven ability to handle day-to-day implementation tasks and manage individual ticket assignments effectively.
• Regulated Industry: Familiarity with delivering software for regulated environments (e.g., medical devices or healthcare) is highly preferred.
• Communication: Effective verbal and written communication skills to collaborate within a distributed engineering team.

Job Responsibilities

• Backend Development: Implement and maintain scalable backend logic using Python-based services.
• Cloud Infrastructure: Support the development and optimization of services hosted within AWS environments.
• Full-Stack Flexibility: Contribute to Vue.js (2 & 3) frontend tasks when required to support the usability and tech debt workstreams.
• Backlog Execution: Own the day-to-day implementation of tasks within the project backlog, focusing on backend reliability and API performance.
• Performance & Observability: Assist in establishing performance baselines and improving service observability across the platform.
• Regulated Quality: Ensure all code contributions adhere to strict quality standards for regulated product delivery within the healthcare sector.
• Team Collaboration: Pair with senior engineers on complex tickets and participate in rotations to support infrastructure and platform work.

We are the Product Security team, responsible for the security, reliability, and trust of Raiffeisen Bank’s digital ecosystem.
Our mission is to embed security at every stage of the software development lifecycle and continuously strengthen the resilience of our services.

We are looking for an AI Engineer (Security) — a specialist who combines strong software engineering experience, hands-on expertise with LLMs and AI tools, and a desire to apply these skills within the cybersecurity domain.

In this role, you will design AI-driven solutions to automate security team processes, assess the security of AI systems implemented across business and IT, and help colleagues integrate AI into their daily workflows.

Your future responsibilities:

In this role, you will be responsible for designing and implementing AI solutions for security teams. You will build LLM agents, RAG systems, AI pipelines, and integrations using modern tools.

At the same time, you will implement a Shift-Left AI Security approach — embedding AI security checks early in the development lifecycle by integrating them into CI/CD pipelines and SSDLC processes. This includes:

• Analyzing AI-specific threats
• Managing Shadow AI risks
• Helping Security team to build tools for conducting security reviews of AI products before they go into production
• Defining architectural standards for AI security tooling across the organization
• Mentoring engineering teams on secure AI integration patterns and best practices
• Leading technical decision-making for AI security infrastructure choices

If you are passionate about combining artificial intelligence and cybersecurity in a complex, technology-driven financial environment — this role is for you.

Your skills and experience:

• 5+ years of software development experience
• Strong proficiency in Python and other programming languages for building automation, scripts, and integrations
• Hands-on experience with LLMs: prompt engineering, building chains/agents, working with model APIs (e.g., OpenAI, Anthropic)
• Experience with LLM frameworks
• Practical use of AI assistants in development (e.g., GitHub Copilot, Claude Code, Cursor or similar)
• Understanding of RAG architectures: vector databases, embedding models, chunking strategies
• Knowledge of OWASP Top 10 for LLM Applications
• Ability to rapidly prototype — from idea to working PoC in days, not months
• Experience influencing technical direction across multiple teams or projects
• Track record of knowledge transfer — documentation, workshops, or internal enablement

Will be a plus:

• Experience with model fine-tuning
• Knowledge of Cloud AI services: Azure OpenAI, AWS Bedrock, GCP Vertex AI
• Basic understanding of information security processes (SOC, Incident Response, AppSec, GRC)
• Familiarity with NIST AI RMF, EU AI Act, or other AI regulations
• Experience building multi-agent systems
• AI or Cloud certifications

Personal Qualities:

• Practitioner mindset — not just understanding LLMs, but having built real solutions
• Self-sufficiency — ability to take ownership from problem to solution without micromanagement
• Strong communication skills — able to explain complex topics in simple terms to non-AI teams
• Curiosity and adaptability in a fast-evolving AI landscape
• Focus on delivering measurable business value
• Ability to lead by expertise — guiding teams without formal authority

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program with rewards for bringing in new colleagues to Raiffeisen Bank. 
• Social package: official employment, 28 days of paid leave, additional paternity leave, and financial assistance for parents with newborns. 
• Comfortable working conditions: possibility of a hybrid work format, offices equipped with shelters and generators, modern equipment. 
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist, or lawyer; discount programs for sports and purchases; family days for children and adults; in-office massages. 
• Training and development: access to over 130 online training resources; corporate training programs in CX, Data, IT security, leadership, agile, сorporate library. 
• Great team: our colleagues form a community where curiosity, talent, and innovation are welcome. We support each other, learn together, and grow. You can find like-minded individuals in over 15 professional communities, reading clubs, or sports clubs. 
• Career opportunities: we encourage advancement within the bank across functions. 
• Innovations and technologies: Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Android). Data stores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink. AI: building expertise and actively integrating into processes. 
• Support program for defenders: we maintain jobs and pay average wages to mobilized individuals. For veterans, we have a support program and develop the Bank’s veterans community. We work on increasing awareness among leaders and teams about the return of veterans to civilian life. Raiffeisen Bank has been recognized as one of the best employers for veterans by Forbes. 

Why Raiffeisen Bank? 

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter! 
• One of the largest lenders to the economy and agricultural business among private banks. 
• Recognized as the best employer by EY, Forbes, Robota.ua, Stud-Point, Delo.UA, NV, Odgers, UAFIC. 
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ). 
• One of the largest IT product teams among the country’s banks. 
• One of the largest taxpayers in Ukraine; 6 billion UAH were paid in taxes in 2025. 

Opportunities for Everyone: 

• Raif is guided by principles focused on human development and the well-being of 5,000 employees and over 2.5 million clients. 
• We uphold the principles of diversity, equity, and inclusion. 
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to meet your specific needs. 
• We collaborate with students and experienced professionals alike, creating opportunities for growth at every stage of a career 

You matter at Raif! 

Want to learn more? — Follow us on social media:

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