Jobs Python

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities🌿
We care about Trust, Partnership, Transparency, and Responsibility. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the offices in Kyiv, Lviv or Warsaw with stable electricity and Wi-Fi , great — apply right now

Requirements:
● 5+ years of experience in Python development;
● Architectural Mindset: Proven experience building and scaling large-scale distributed systems;
● Deep knowledge of asynchronous APIs (FastAPI is a priority, Gevent) and microservices architecture;
● Proficiency with MongoDB, Redis, and Elasticsearch;
● Experience writing high-quality, well-tested code (unit, integration, e2e);
● Hands-on experience using AI tools (GitHub Copilot, Cursor, ChatGPT/Claude) to speed up development, especially for frontend tasks and boilerplate;
● Strong knowledge of algorithms and data structures;
● English: Upper-Intermediate or higher (ability to discuss technical trade-offs fluently).

Would be a plus:
● Experience with React (or a strong willingness to own the frontend part using AI assistance);
● Migration Experience: Previous experience moving legacy systems (e.g., Ruby/PHP/Node) to Python;
● Cloud & DevOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins, Spinnaker);
● AI/ML Interest: Familiarity with MLOps, NLP/NLU, or integrating LLMs into production environments.

What you will do:
● Lead the migration of core services from Ruby to Python;
● Design and implement scalable microservices;
● Build and maintain the frontend using React, leveraging AI tools to maintain high efficiency;
● Optimize database performance and search capabilities.

What will you get:
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corрorate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi ( Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

About Revenue Grid

Revenue Grid is a B2B SaaS Revenue Intelligence platform helping sales teams across the US eliminate revenue leaks and make better, data-driven decisions.

We are actively growing our Applied AI & Generative AI direction — a focused engineering team working on real, production-level AI features embedded directly into the product, not experimental demos.

Our goal is to turn LLM capabilities into reliable, scalable tools that solve concrete business problems for sales teams.

What You’ll Do

• Design and implement AI-powered features using Large Language Models (LLMs)
• Build and evolve RAG pipelines, agent-based workflows, and multi-step reasoning systems
• Work hands-on with LangChain and/or LangGraph
• Develop PoCs and MVPs and take them to production-ready solutions
• Integrate AI services with existing backend systems and data sources
• Collaborate closely with product, backend, and data teams
• Continuously experiment with new tools, frameworks, and techniques in applied AI

What You Bring

• Strong Python skills and solid software engineering fundamentals
• Practical experience with prompt engineering
• Hands-on experience with LangChain and/or LangGraph
• Good understanding of LLMs, embeddings, vector databases, and RAG architectures
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Ability to design reliable AI workflows rather than just calling an API
• Product-oriented mindset and ownership mentality

Nice to Have

• Experience with FastAPI
• MLOps or LLM evaluation and monitoring
• Experience with Kafka or data streaming
• Cloud platforms (AWS, GCP, Azure)
• Background in SaaS / B2B products

Why Revenue Grid

• Remote-first setup with flexible working hours
• Real ownership and autonomy — no micromanagement
• Applied AI in production, not just research
• Unlimited vacation policy
• Medical insurance after the trial period
• Strong product culture and experienced engineering team
• Opportunity to grow into AI Architect or Technical Lead roles

Ready to build real AI features used by thousands of sales professionals? 
We’d love to meet you — apply now.

Project Overview

We are building production-grade browser automation systems that power complex, real-world workflows in highly constrained environments. As a Senior Software Engineer, you will own and evolve automation that operates in unreliable, changing, and security-restricted browser environments—and must run consistently at scale. 

Responsibilities

This role is not about one-off scripts or basic scraping. You will design resilient, long-running automation workflows that handle partial success, retries, UI changes, and real-world failure modes across external web portals. Your work will directly reduce manual effort and turnaround time by translating complex workflows into durable automation systems that run in production every day. You will collaborate closely with engineering teams to design and operate automation infrastructure that supports critical business processes where modern APIs or integrations are limited or unavailable. Requirements (Must-have) 
- Strong software engineering background with production experience in browser automation
 - Ability to design long-running, fault-tolerant automation workflows - Hands-on experience handling unreliable external systems and changing UIs 
- Comfort owning automation systems end-to-end: design, implementation, monitoring, and debugging
 - 4–6+ years of professional software engineering experience
 - Strong proficiency in Python 
 - Hands-on experience with browser automation frameworks (Playwright, Selenium, Puppeteer)
 - Solid understanding of web technologies (HTML, CSS, JavaScript) and browser developer tools
 - Experience running browser automation in production environments
 - Familiarity with asynchronous programming, background workers, and job queues
 - Experience designing systems with retries, idempotency, and partial failure handling
 - Strong problem-solving skills and comfort working in ambiguous, evolving problem spaces
 - Experience with Git and CI/CD workflows
 - Clear communicator, comfortable working with cross-functional teams

 Nice to Have

 - Experience operating headless browsers or automation workers at scale
 - Familiarity with TypeScript and Node.js for backend services or internal tooling
 - Experience working with complex external portals (e.g., healthcare, insurance, finance)
 - Knowledge of industry data standards (e.g., HL7, FHIR)
 - Experience with cloud platforms (AWS, GCP) and containerization (Docker)
 - Background in building internal platforms, developer tooling, or automation infrastructure 
 

We are seeking a highly skilled and motivated Python Developer to join our Core Team and help build and scale a high-load Geospatial AI Data Platform. In this role, you will be responsible for productionizing Data Science models and transforming massive volumes of raw aerial imagery into structured, actionable insights that power our client-facing products. You will work closely with Data Scientists, DevOps, and Product teams to deliver reliable, scalable, and high-performance solutions in a cloud-native environment.

Key Responsibilities:

• Data Pipeline Development:
  Design, build, and optimize ETL pipelines for ingesting, cleaning, transforming, and processing large-scale geospatial datasets and aerial imagery.
• API Development:
  Design, develop, and maintain high-performance, scalable RESTful APIs using FastAPI or AWS Lambda Powertools.
• Model Serving & Productionization:
  Collaborate with Data Scientists to containerize, deploy, and maintain machine learning models in production environments.
• Code Quality & Performance Optimization:
  Write clean, efficient, and reusable Python code; optimize data processing throughput and platform latency for large-scale workloads.
• System Architecture:
  Contribute to the design and evolution of Microservices and Serverless architectures, ensuring scalability, security, availability, and observability.
• Cross-functional Collaboration:
  Work in an Agile environment with Data Scientists, DevOps Engineers, and Product Managers to translate business requirements into robust technical solutions.

Required Qualifications:

1. Python & Backend Development

• Python Expertise:
  4+ years of professional experience in Python backend development, particularly in data-intensive or high-load systems.
• Code Quality:
  Strong knowledge of Python 3, adherence to PEP8 standards, solid OOP skills, and understanding of SOLID principles.
• API Development:
  Proven experience building and maintaining production-ready APIs using FastAPI or AWS Lambda Powertools.

2. Cloud & Infrastructure

• AWS Experience:
  Hands-on experience with AWS services including S3, SQS, EC2, API Gateway, Lambda, DynamoDB, CloudFormation / SAM.
• Containers:
  Experience working with Docker and Kubernetes in production environments.
• Linux:
  Strong Linux administration experience (Ubuntu preferred).

3. Databases & Data Storage

• Relational Databases:
  Solid experience working with SQL databases, preferably PostgreSQL.
• Data Handling:
  Experience designing systems that process large datasets efficiently and reliably.

4. Engineering Practices

• Version Control:
  Proficiency with Git and collaborative development workflows.

• Communication:
  Good English communication skills and ability to work effectively in a distributed, cross-functional team.

   

Preferred / Bonus Qualifications:

• Experience with geospatial libraries such as GeoPandas, GDAL, Shapely, Rasterio
• Familiarity with model serving platforms (e.g., NVIDIA Triton)
• Experience with workflow orchestration tools like Apache Airflow
• Exposure to on-premises infrastructure
• Knowledge of CI/CD pipelines, GitHub Actions, and DevOps best practices

Summary

• 5+ years of professional experience with Python;
• Strong experience with FastAPI, Flask, or similar Python web frameworks;
• Experience building and consuming RESTful APIs;
• Experience with relational and/or NoSQL databases;
• Experience with or understanding of: NumPy, SciPy, Pandas, scikit-learn;
• Experience or hands-on experimentation with LLMs (OpenAI, Claude, etc.), prompt engineering, AI-powered assistants, content summarization, and data analysis using AI.

About the role

We are looking for a Senior Python Developer to join a globally distributed team supporting high-volume digital initiatives for a large international automotive group, covering both passenger vehicles and commercial transport solutions (fleet, vans, etc.) across multiple markets (USA, Canada, Europe, and globally).

This role requires a strong backend-focused Python developer with broad technical exposure, including API development, data processing, and some frontend interaction. The ideal candidate is communicative, proactive, and comfortable collaborating directly with client stakeholders, while also being capable of working independently and leading initiatives when needed.

You will primarily support long-term enterprise automotive projects (99–100% allocation), working on scalable, production-grade systems that increasingly leverage Python, AI, and data-driven architectures.

Responsibilities:

• Design, develop, and maintain scalable Python-based backend services;
• Build and maintain APIs (primarily using FastAPI and/or Flask);
• Implement data processing pipelines and transformations;
• Support frontend applications by serving structured, well-optimized data;
• Work across frontend, backend, and data layers when needed;
• Collaborate closely with frontend developers building SPAs and feature apps;
• Integrate with Adobe Experience Manager (AEM)-based platforms;
• Participate in architecture discussions and technical decision-making;
• Improve and refactor existing codebases for maintainability and scalability;
• Contribute to AI-powered features and workflows;
• Implement testing strategies and ensure code quality;
• Identify performance bottlenecks and propose scalable solutions;
• Take ownership of features or systems end-to-end when required.

Required Skills & Experience

• 5+ years of professional experience with Python;
• Strong experience with FastAPI, Flask, or similar Python web frameworks;
• Experience building and consuming RESTful APIs;
• Solid understanding of backend architecture and service design;
• Experience with data processing, transformations, and structured outputs;
• Experience with relational and/or NoSQL databases;
• Familiarity with asynchronous programming and concurrency;
• Experience with Git-based workflows;
• Strong debugging and problem-solving skills;
• Ability to work independently and take ownership;
• Strong communication skills - able to explain technical decisions clearly.

Data & AI Exposure (Highly Desired)

The client is increasingly focused on AI-driven workflows and data-heavy systems. The ideal candidate should be comfortable discussing:

• Experience with or understanding of: NumPy, SciPy, Pandas, scikit-learn;
• Data transformation pipelines;
• Serving processed data to dashboards, charts, or frontend visualizations;
• Scraping, parsing, and processing large volumes of data;
• Queue-based systems and background processing;
• Handling concurrency, scaling, and performance challenges.

AI & LLM Experience (Big Plus)

The team is actively working on GenAI-powered solutions for a large international enterprise client. Even if not currently working with AI, candidates should ideally have:

Experience or hands-on experimentation with:

• LLMs (OpenAI, Claude, etc.);
• Prompt engineering;
• AI-powered assistants;
• Content summarization;
• Data analysis using AI;

Ability to discuss:

• Proofs of concept;
• Scaling AI features from PoC to production;
• Challenges around infrastructure, cost, reliability, and governance.

Team and Collaboration, 

• The team is globally distributed (US, Canada, Europe);
• The candidate will be based in Europe and will most likely have a Tech Lead in the UK as their main technical point of contact;
• Direct communication with the client is strongly encouraged;
• The candidate must be comfortable discussing ideas, raising concerns, suggesting improvements, and asking questions when needed;
• At the same time, the candidate must be able to work independently, as some projects may involve being the only developer on a given initiative.

DATAOX

We at DataOX are looking for a Junior Python Developer to join one of our ongoing projects focused on intelligent web scraping and data extraction. You will play a crucial role in developing and maintaining robust scraping solutions to collect and analyze data from various sources. You will work closely with our experienced team to deliver high-quality solutions that meet client requirements.

Requirements:

- around 1 year of Python experience;
- Desire to work in a dynamic team on the same projects, ability to search for solutions independently before asking;
- Solid understanding of OOP;
- Strong SQL knowledge;
- Experience with PostgreSQL;
- Familiarity with Docker and Docker Compose;
- Experience with FastAPI;
- Proficiency with Git.
- Upper-Intermediate level of English for direct communication with clients.

Will be a big plus:

- Technical education (Computer Science, Mathematics, etc.).
- Experience with web scraping projects.

Responsibilities:

- Collaborate with the development team to design, develop, and maintain scraping applications and tools;
- Implement efficient scraping algorithms and techniques to collect data from diverse websites and APIs;
- Write clean and well-structured code in Python to ensure reliable and scalable scraping solutions;
- Perform data cleaning, validation, and transformation to ensure data accuracy and integrity;
- Troubleshoot and resolve issues and challenges;
- Take part in cooperation with clients to understand their requirements and provide technical guidance;
- Assist in testing, deployment, and documentation of projects.

Why DataOx?

- Remote-first with flexible hours;
- Exciting and innovative projects;
- No micromanagement, flat hierarchy;
- Legal & financial support for private entrepreneurs;
- 20 vacation/sick days per year;
- Financing of courses, certifications, and training.

Hiring process

- Test task (up to 4 hours)
- HR interview (30 min)
- Technical interview with live coding (90 min)
- Final interview with PM (30-60 min)
- Offer 🎉

About Us

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.

We’re building an AI-native CRM platform that completely redefines how sales automation works.
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.

Our mission: to build a CRM that works for User, not the other way around.

About the Role

We’re looking for a Senior / Principal Backend Engineer who thrives in dynamic environments, enjoys solving complex data challenges, and wants to shape a product from its early stages.

At ChatRevenue, we focus on goals, not ceremonies – no endless grooming sessions or heavy planning rituals.
You’ll have a direct influence on architecture, product decisions, and data design. Decisions are made quickly through open discussion and collaboration, without corporate bureaucracy.

What You’ll Do

• Design, develop and maintain backend services and APIs using Python / FastAPI
• Work with structured and unstructured data
• Implement AI-driven features into backend logic and APIs
• Ensure DevOps best practices (testing, CI/CD, security, Docker/Kubernetes)
• Collaborate closely with product, data, and frontend engineers to deliver business values fast

What We’re Looking For

• Strong Python experience, ideally with FastAPI, async programming, proven capacity to write production-ready code with speed and precision.
• Experience with SQL (PostgreSQL) and data processing frameworks (Pandas, ETL/ELT)
• Hands-on experience with Docker, Kubernetes, and Azure Cloud
• Understanding of data architecture, performance optimization, and scalability
• Experience with CI/CD pipelines, Git, and code review culture
• Excellent teamwork skills – constructive feedback, collaboration, and ownership mindset

Nice to have

• Experience with OpenSearch, Kafka, or Azure Data Services
• Exposure to DevSecOps and advanced debugging
• Knowledge of Generative AI integration into backend systems
• Develop and maintain data flows, ETL/ELT pipelines, and integrations between internal and external systems

Why Join Us

• Remote-first culture – work from anywhere
• Flexible schedule aligned with European time zone
• Direct impact – your work is visible in the product from day one
• Professional growth – as we scale, you can own a technical domain or lead a module
• Core team – become one of the people who know the product best and grow together with it
• Competitive compensation

If you want to build an AI-native CRM from the ground up and be part of the core team shaping the product, we’d love to hear your story.

Apply or reach out directly – let’s build something truly transformative together.

About Us 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems. 

We’re building an AI-native CRM platform that completely redefines how sales automation works. 
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface. 

Our mission: to build a CRM that works for User, not the other way around. 

About the Role 

We’re looking for a Senior Python AI Engineer to join our core team and take ownership of GenAI and RAG pipelines in production. 

This role is ideal for engineers who enjoy ambiguity, move fast, and want their work to be visible in the product from day one. 
We focus on outcomes, not ceremonies –  minimal bureaucracy, fast decisions, real ownership. 

What You’ll Do 

• Design, build, and maintain production-grade GenAI / RAG pipelines 
• Integrate LLMs and agentic assistants into real business workflows 
• Build and operate vector search, embedding stores, and knowledge graphs 
• Ingest, clean, enrich, and structure large external data streams 
• Experiment with new GenAI frameworks, tools, and multi-agent systems 
• Improve reliability, latency, and cost-efficiency of AI pipelines 
• Mentor engineers and share best practices across the team 

What We’re Looking For 

• Strong Python backend experience (FastAPI, async, APIs) 
• Hands-on experience with LLMs in production (OpenAI-family or similar) 
• Practical experience with RAG pipelines, embeddings, vector stores 
  LangChain / LangGraph / LangSmith or similar orchestration frameworks 
  SQL, data processing (Pandas), ETL / data cleaning 
• Docker, CI/CD, Git; experience deploying to cloud (Azure preferred) 
• Ability to work independently in a fast-moving startup environment 
• Good English for documentation and technical communication 

Nice to have 

• Graph databases and graph-based retrieval (Neo4j, NetworkX) 
• Kafka / Azure EventHub 
• Multi-agent LLM frameworks 
• Production ML / NLP experience 

Why Join Us 

• Remote-first – work from anywhere 
• Flexible schedule aligned with the European time zone 
• High impact – your work goes live, not into a backlog 
• Strong technical ownership and influence on architecture 
• Competitive compensation: $6,000-$9,000 
• Core team role in an AI-native product built from scratch 

What makes you a great fit:

• 5 years of programming experience: Python experience at least 2 years — must
• AWS experience — must
• Experience with high-performance, multi-threaded, multi-processed environments
• Experience developing a high-scale, multi-tenant cloud SaaS mission-critical applications
• Knowledge of different databases — relational, Key-Value, document, Data Lakes
• Knowledge of microservices architecture, design patterns and best practices
• Degree in computer science/software engineering or equivalent

• At least an upper-intermediate level of English

   

Why work with us?

• People-oriented management without bureaucracy
• The friendly climate inside the company is confirmed by the frequent comeback of previous employees
• Flexible working schedule
• 29 paid time off (18 working days per year, plus 11 days — all national holidays)
• 10 sick leave days
• Full financial and legal support for private entrepreneurs
• Free English classes with native speakers or with Ukrainian teachers (for your choice)

• Dedicated HR

   

Your day-to-day in this position:

• Develop production-grade, large-scale cloud-based security products
• Design and develop data-driven applications in an agile development environment
• Collaborate cross-functionally with product managers, QA, automation, data engineers, and other engineers to achieve elegant solutions

• Work alongside other engineers on the team to elevate technology and consistently apply best practices

   

What is your new project?

• Domain: Email Security
• Location: Israel
• Company size: 51-200 employees

• Founded in: 2020

   

Our next steps:

✅ Intro call with a Recruiter — ✅ Test assignment — ✅ Client tech interview — ✅ Managerial interview — ✅ HR client interview — ✅ Reference check — ✅ Offer

We're hiring an AI Software Development Engineer specialized in Python / RAG /

Language Models to join our AI Engineering team. You will maintain existing

solutions, develop innovative AI-powered features, and integrate AI technologies

into our product ecosystem.

Experience:

• 3+ years Python development
• 1+ year developing commercial or notable open-source LLM applications
• Computer Science / Math / AI degree preferred

Technical Skills:

• Strong Python
• Prompt engineering, LLM integration, RAG architectures, MCP, embeddings
• RDMBS / SQL — complex queries, performance optimization
• Solid async/multiprocessing skills; microservice architecture; working knowledge of industry-standard libs and frameworks like FastAPI, SQLAlchemy, LangChain, Gunicorn, etc.
• Docker, Git, CI/CD, Pytest
• Strong command-line skills in Linux/Unix systems
• Basic JS/CSS/HTML (nice to have)

Soft Skills:

•   Problem-solving mindset
• Attention to detail in code
• Proactive learner, keeps up with AI/ML trends
• Upper-intermediate English (written and verbal)

We offer:

• Medical Insurance
• Sports expenses compensation
• English courses
• Fully remote
• 20 vacation working days, 10 sick leaves

HOW TO APPLY

CV + short description of an LLM problem you've solved.

Open-source contributors — share your GitHub.

Requirements:

— 2+ years of experience with Python / FastAPI / Django

— Solid understanding of web technologies and client-server communication Python 3.8+ proficiency

— English – Intermediate level or higher (able to participate in technical discussions)

— Good knowledge of Docker and Docker Compose

— Experience with AWS services (EC2, RDS, etc.) is a plus

— Confident in using Git: able to read and review teammates’ code

— Basic knowledge of deployment and CI/CD processes; experience with GitHub Actions or similar tools

Responsibilities:

— Develop and maintain backend web applications using Python (FastAPI / Django / DRF)

— Implement new features and APIs based on business requirements

— Maintain and improve existing codebase for stability and performance

— Collaborate closely with the frontend team (React/Next.js/React Native) to ensure smooth integration

— Participate in code reviews and contribute to improving development processes

— Assist with deployment, CI/CD workflows, and basic DevOps tasks

Nice to have:

— Ability to work independently: while there will be regular team meetings and brainstorms, you should be comfortable solving problems on your own

— Experience with Flask is a plus

— Understanding of microservices architecture is a plus

— Basic understanding of the frontend (React/Next.js/React Native) is a plus

— Willingness to continuously improve your skills and take initiative in improving project quality

Python and Django developer needed. Join the team for a UK-based healthcare company that enables remote patient monitoring, clinical research, and personalized healthcare.

What You'll Do

• Design and develop backend features using Python and Django REST Framework
• Maintain and improve the architecture, performance, and scalability of the backend codebase
• Collaborate closely with frontend developers and product owners
• Drive best practices in coding and testing for backend development
• Conduct code reviews

What We're Looking For

• 3+ years of experience in backend development with strong knowledge of Python and Django
• Solid understanding of RESTful API design and microservices architecture
• Experience with PostgreSQL, Redis, and message queues (Kafka preferred)
• Strong knowledge of Docker, containerization, and cloud platforms (GCP/AWS/Azure)
• Ability to write clean, maintainable, and well-tested code
• Proficiency in version control systems like Git
• Excellent communication skills and a proactive approach to problem-solving
• Upper-intermediate English level or higher with good spoken and written skills

Nice to Have

• Experience with MongoDB and NoSQL databases
• Familiarity with CI/CD pipelines and Kubernetes/cHelm deployments
• Exposure to healthcare domain or medical device integrations
• Knowledge of async programming and performance optimization techniques

Full-time, remote | Long-term collaboration | Start: ASAP
 

We are seeking a strong Python Developer with solid commercial experience in Go who is ready to assume Leadership within the team and shape the architecture of high-load, data-intensive services.

Our product is a distributed system that processes billions of real-time events. We are building a modern infrastructure where engineering thinking, responsibility, and clean code truly matter.
 

Your Impact
You will become a key technical decision‑maker for one of our core data processing domains. Together with the Product and Data teams, you’ll define the technical roadmap, choose tools and approaches, and directly influence how our real‑time platform evolves over the next few years.
 

What You’ll Do

• Develop and scale backend services in Python and Go
  Python will be your primary language; Go is used for high-performance, low-latency services.
• Lead and mentor a small team of 3–6 engineers: planning, 1:1s, onboarding, code reviews, and knowledge sharing.
• Make key architectural decisions for high‑load, event‑driven services.
• Work with large volumes of data and integrate with analytical pipelines.
• Participate in code reviews, performance optimization, and API design.
• Collaborate with DevOps, Product, and Data teams to ensure a cohesive system architecture.
• Define and uphold technical standards, best practices, and quality guidelines for your team.
   

Requirements

• 5+ years of production experience with Python (backend and/or data‑intensive systems).
• 2–3+ years of commercial experience with Go in production
  (mid‑level proficiency, with motivation to grow further; we will support this growth via reviews, pair programming, and knowledge sharing).
• Experience building and operating microservices in production.
• Solid experience with relational databases (MySQL or similar) and message brokers/streams (Kafka or similar).
• Proven experience as a Team Lead / Tech Lead: leading a small team, owning delivery, and driving technical decisions.
• Good communication skills and ability to work in a distributed, remote‑first team.
   

Nice to Have

• Experience with Airflow or other workflow/ETL orchestration tools.
• Experience with Prometheus or other monitoring and alerting tools.
• Experience with Puppet or other configuration management tools.
• Experience with Angular / TypeScript or willingness to occasionally work with frontend tasks.
• Hands‑on experience implementing data pipelines and event‑driven architectures.
• Experience building high‑load, real‑time data processing systems.
   

Tech Stack

Backend:

• Go (1.15+)
• Python
• Microservice architecture
• MySQL, ClickHouse, Redis
• Elasticsearch, Kafka

Frontend:

• Angular 17+, TypeScript

DevOps:

• Docker, Kubernetes, Ansible
• CI/CD
• Monitoring and alerting systems
   

We Offer

• Time Off. 20 working days of paid vacation, paid sick leave days (no doctor’s note required), and one day off per month.
• Learning & Development. Up to 100% education cost compensation for role‑relevant courses, conferences, and certifications.
• Workplace & Equipment. Assistance with laptop purchase and setting up a comfortable home office (equipment and accessories needed for effective remote work).
• Remote‑first & Flexible Schedule. Fully remote work with flexibility in planning your day — we focus on results, not on tracking every hour.
• Team Culture. Regular team buildings, off‑sites, and company events — we work hard but also celebrate wins together.
• Autonomy & Ownership. Transparent processes, no micromanagement — we trust you to take the lead and drive results, with a real chance to shape and grow a complex, high‑traffic product serving millions.
• Support for Ukrainian teammates. Assistance with ensuring a stable working environment (e.g., partial compensation for power backup/internet solutions) for candidates located in Ukraine.

We are looking for a Python Developer to work on extending an existing AI-driven automation system.

Responsibilities:

- Improve automation using LLMs, OCR, and document chunking

- Implement multi-pass extraction and refinement logic

- Handle visual-heavy documents and slides

- Optimize AI iterations and reduce duplicate or weak signals

- Integrate workflows with n8n and Airtable
 

Requirements:

- Strong Python experience

- Hands-on experience with LLMs and OCR

- Experience in document processing and data extraction

- Familiarity with n8n and Airtable (or similar)
 

Nice to have:

- Experience with AI refinement pipelines

- Experience processing presentations or visual-heavy documents

- Understanding of prompt engineering and extraction optimization

Quintagroup is looking for a Senior Python Developer to join a project for a leading UK-based fintech product. 

Our client builds innovative financial solutions and actively uses modern technologies to support both businesses and consumers.

RESPONSIBILITIES:

• development with Python, AWS
• participation in planning and execution stages
• collaborate closely with an international development team (UK/UA/US) and the CTO to design, implement, and optimize fintech applications.
• take part in project planning and execution to ensure timely delivery of key milestones.
• build and integrate cloud-based solutions, primarily on AWS.
• improve application performance and maintain the security of sensitive financial data.

TECH STACK:

Python 3.11, Django 4.2, Postgres, AWS (EventBridge, Lambda, ECS, RDS, DynamoDB etc.), Docker, Pandas, Polars, Terraform

REQUIREMENTS

• 6+ years of experience with Python
• 4+ years of experience with Django Python frameworks
• Experience with AWS 
• Able to work in a team-oriented, collaborative environment
• Ability to share knowledge
• Excellent communication skills in English (B2+ level or higher).

WE OFFER:

• Flexible working format: fully remote, hybrid, or office-based.
• Competitive salary and comprehensive compensation package.
• Personalized career growth paths and mentorship opportunities.
• Access to professional development tools, including tech talks and training sessions.
• Education reimbursement for relevant certifications or courses.
• Memorable gifts for anniversaries and corporate events.
• Engaging team-building activities and location-specific perks.

HIRING PROCESS:

• HR interview
• Tech interview
• Offer