Jobs

Software Developer — Trading Strategy Implementation

Turn research models into automated trading systems with the CTO!

Location: Remote/hybrid. Offices in Kiev and Lisbon.
Type: Full-time contractor, long-term cooperation
Reports to: CTO
 

About the role

We are building a compact, high-trust engineering team to implement and operate a proprietary trading strategy. You will work directly with the CTO and lead analyst to turn research models into robust, automated systems.

Precision, discipline, and confidentiality are critical — this role suits an engineer who values structure, responsibility, and long-term collaboration over quick exposure or personal trading.
 

Responsibilities

• Implement and automate trading strategy components (data ingestion, signal generation, execution).
• Integrate external APIs (exchanges, brokers, data providers).
• Maintain data accuracy, test coverage, and reproducibility.
• Build and document internal tooling for research validation and monitoring.
• Collaborate closely with analytics and ops to ensure reliability and traceability.
   

Requirements

• 3+ years in software development with one of the following stacks:
  • Python: pandas, asyncio, FastAPI, REST/WebSocket
  • JavaScript / TypeScript: Node.js, async pipelines, data services
  • Go: API clients, concurrent execution
  • Rust: data reliability, low-latency systems
• Experience with financial data, backtesting, or API-based trading systems.
• Strong mathematical and data-handling precision.
• Solid English (B2) and written communication discipline.
• Proven track record of delivering secure, maintainable code.
   

Soft profile

• High conscientiousness, integrity, and respect for confidentiality.
• Detail-oriented and cautious around sensitive data.
• Stable personality; prefers deep technical work over side hustles or personal trading.
• Comfortable working under clear supervision with transparent expectations.
   

What we offer

• Work directly with the CTO on a mission-critical trading product.
• Long-term, trust-based cooperation with growth opportunities.
   

Hiring Process

• Initial Screening with Recruiter (20–30 min) — introduction to the company and role; brief review of your background.
• Final Technical Interview (CTO) — stack fit, trading systems experience, problem-solving.
• Test Assignment (sandbox) — exchange connectivity, code quality, accuracy; max 2–3 hours.

Project Description

This is a new long-term project with one of the most prominent players in the energy sector.
This project focuses on developing a tool to transform static, image-based electrical schemas (e.g., scanned blueprints or photographs) into accurate, structured, and usable digital schematics using YOLO and OCR. This solution significantly accelerates the process of migrating legacy or physical documentation into modern CAD/GIS/PLM systems, enabling rapid analysis, modification, and maintenance.

Job Description

• Bachelor’s degree in computer science, information technology, electronics, communications, or similar
• Hands-on experience in object-oriented programming using Python (including web frameworks such as Quart or Flask)
• Strong analytical skills with the ability to implement complex control flows and algorithms.
• The capability to analyze software design on a system level and translate it to code
• Hands-on experience with coding standards and approach in adapting domain-specific nomenclatures.
• Intermediate or higher written and spoken English 
• Communication and interpersonal skills
• Skills: PyQt5, OCR, OpenCV

Job Responsibilities

• Participating in the development of a tool to transform static, image-based electrical schemas into digital schematics using YOLO and OCR
• Conduct and / or participate in unit / bench / API / functional / non-functional testing of software products / features
• Support or participate in preparing technical design documents in response to market/product / technical/functional / non-functional requirements specifications
• Develop/build proof of concepts as a step towards comprehensive software development.
• Develop software and / or review software development according tothe  security development lifecycle and technical design documents.
• Analyze the developed code, prepare bug reports, conduct root cause analysis, suggest fixes, implement and / or ensure implementation of the identified solution, subsequent verification and validation steps

🏦 Python Backend Developer (FinTech)

📌 About the Project

We are building modern FinTech solutions for banks, focusing on reliability, security, and scalability. Our product processes financial operations in real-time, integrates with multiple banking systems, and handles high loads daily.

You will join a strong backend team (Python-focused) working in a microservices environment, using best practices (code review, test automation) and modern tools.

🎯 Responsibilities:

Design and develop microservices using Python.

Build and maintain REST APIs with FastAPI and aiohttp.

Develop background workers with Celery and integrate Redis for caching/queues.

Work with Oracle and PostgreSQL databases.

Implement and maintain unit and integration tests.

Write clean, maintainable, well-documented code.

Collaborate with developers, QA, and product managers.

Participate in code reviews and contribute to continuous improvement.

Integrate with external systems using JSON/XML/SOAP protocols.

✅ Requirements:

3+ years of professional experience with Python.

Strong knowledge of FastAPI, aiohttp, and async programming.

Experience with Celery, task queues, and distributed systems.

Experience with Oracle and/or PostgreSQL.

Familiarity with Redis, Docker, and microservice architecture.

Practical experience integrating with external systems over JSON, XML, SOAP.

Experience writing unit and integration tests.

Strong knowledge of Git and team workflows (branching, PRs, code review).

Good communication skills and ability to work in a team.

➕ Nice to Have

Experience in financial operations (payments, money transfers) or knowledge of banking products.

Understanding of message brokers (RabbitMQ, Kafka).

Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK).

💎 We Offer:

Flexible work format (remote or hybrid).

Modern tech stack and opportunity to work on high-load FinTech systems.

A team of skilled engineers who value code quality and knowledge sharing.

Real influence on architecture and technical decisions.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world.
 

We are currently looking for a Python Developer to join the Core team.

👥 About the team:

The Core team is responsible for the mission-critical services of the platform: user management (IAM), financial transactions, anti-fraud, and event history.
We are actively decomposing a legacy monolith (Python/Tornado) and rewriting critical parts of the system using a modern tech stack.

📋 Key responsibilities and your contribution:

• Decomposing the monolith by extracting functionality from the Core service (Python 3.6+/Tornado) into microservices
• Developing and supporting services for transaction processing (a business-critical area)
• Designing asynchronous processes with RabbitMQ/Kafka
• Optimizing MongoDB (shared database antipattern) and migrating services to PostgreSQL
• Integrating with internal payment systems and external anti-fraud providers
• Refactoring heavily debt-loaded code (tech debt 9/10) and increasing test coverage (currently <20%)
• Building and optimizing server-side applications and microservices for processing data
• Setting up and maintaining integrations with external financial systems, payment gateways
• Writing unit tests, conducting integration testing, optimizing performance, and debugging code issues

📚 Your qualifications:

• 3+ years of experience with Python (working with both legacy and modern code)
• Strong knowledge of PostgreSQL and MongoDB in production
• Experience with asynchronous programming (asyncio, multithreading)
• Solid skills in SQL and ORM usage (we are migrating to PostgreSQL)
• Hands-on experience with high-load systems
• Strong debugging, optimization, and problem-solving skills
• Excellent communication skills to collaborate with technical and non-technical stakeholders

➕ Nice to have:

• Experience decomposing monoliths into microservices
• ORM optimization via RAW queries
• FastAPI framework knowledge
• Familiarity with GoLang or Node.js
• Experience with RabbitMQ/Kafka
• Previous work with financial systems or payment solutions
• Experience with Redis

Benefits:

⭐ Days of recovery: 20 paid vacation day per year and unlimited sick leave days.
⭐ Health: corporate medical insurance, a company psychologist and a Cafeteria of Benefits for personal wellness choices.
⭐ Education: a variety of foreign languages course for you to choose from. Also we are open for your development and you can choose different courses /training for improving your skills.
⭐ Compensation: additional benefits that can be used according to company policy, e.g. paid business trips, international conference opportunities, lunch perks at our offices etc.
⭐ Work Environment: work remotely or from one of our offices in Cyprus, Portugal, Poland, equipped with the equipment you'll need for success.

• Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process.
  We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results.

• Responsibilities:

  Design and develop PoCs and present them to business stakeholders.
  Build and deploy innovative AI solutions using state-of-the-art models.
  Integrate LLMs into existing and new applications.
  Develop new functionalities within R&D applications..
  Promote and implement best process practices across AI development workflows.

• Mandatory Skills Description:

  6+ years of experience in AI/ML development.
  Advanced proficiency in Python.
  Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
  Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
  Solid foundation in Data Science and statistical modeling.
  Experience with Agentic Workflows using LangChain-based agents.
  Hands-on experience with LangGraph (e.g., hackathons or MCPs).
  Deep understanding of fine-tuning techniques for LLMs.
  Hands of experience on Transformer architecture and its evolution from earlier models.

• Project Description:

  Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process.
  We are seeking a highly skilled and innovative Python/AI Engineer to join our team. The ideal candidate will be responsible for developing cutting-edge AI solutions, creating Proof of Concepts (PoCs), and integrating Large Language Models (LLMs) into our application landscape. This role involves close collaboration with business stakeholders and R&D teams to drive AI adoption and deliver impactful results.

• Responsibilities:

  Design and develop PoCs and present them to business stakeholders.
  Build and deploy innovative AI solutions using state-of-the-art models.
  Integrate LLMs into existing and new applications.
  Develop new functionalities within R&D applications..
  Promote and implement best process practices across AI development workflows.

• Mandatory Skills Description:

  6+ years of experience in AI/ML development.
  Advanced proficiency in Python.
  Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).
  Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).
  Solid foundation in Data Science and statistical modeling.
  Experience with Agentic Workflows using LangChain-based agents.
  Hands-on experience with LangGraph (e.g., hackathons or MCPs).
  Deep understanding of fine-tuning techniques for LLMs.
  Hands of experience on Transformer architecture and its evolution from earlier models.

• Nice-to-Have Skills Description:

  Knowledge of Multiple LLMs and their adoption in commercial projects

• Languages:
  • English: C1 Advanced

Who We Are

We're a product company, working on one of the best note-taking apps in the world. We pioneered the market 15 years ago as a two-person startup and evolved into a well-established company throughout the years.

Workplace

No daily standups or story points. You look at the users' feedback, ship some code, look at the feedback again. You work on code until it's done and ship when it's ready. You refactor what needs refactoring when it needs refactoring and you optimize what needs optimizing when it needs optimizing. You invest your time in what makes sense for the business, and the more you understand the product the more freedom you have in deciding what makes sense for the business.
 

You'll work on twisted, unfamiliar problems with no standard solutions, hack through the mix of legacy and modern technology, optimize slow database queries, debug distributed task processing issues, refactor Django code written a decade ago, wonder why certain architectural decisions were made, deal with data migrations on large tables, and many other fun and interesting things.

Technology

WorkFlowy is a classical single-page application, split into a client and an API.
 

The backend is written on Python 3 / Django, PostgreSQL, Celery, Redis. Besides the API, the backend contains a set of internal tools for marketing and support.
 

The client is written in TypeScript / React, with a few (a million) sprinkles of jQuery. It's a hybrid application, that works on the web by default, and is wrapped into Capacitor for the phones and Electron for desktop.
 

The pipeline is managed by GitHub Action, which deploys it all on AWS with Docker.

About you

We expect you to have a solid backend foundation. You, of course, do not need to be an expert in everything (nor we consider it possible), but you have to have a good grasp on what's going on on the backend in general, beyond Python and Django.
 

• You are familiar with Python, its quirks, weak spots, and workarounds. You can name at least three things which you don’t like in Python, and what is usually done to work around its limitations. You follow the evolution of the Python ecosystem
• You don't need to know the intricacies of threaded or asynchronous code, but need to have a general sense of when you might need these
• Besides Python, you used at least one other programming language to create commercial or open-source products
• You are familiar with PostgreSQL or MySQL and know at least some of its quirks, weak spots and workarounds. You can name at least one thing you don’t like in your database of choice and how to work around its limitations. You care and understand the performance impact of SQL queries your code makes, and have experience assessing and optimizing their performance
• You might not know all the pitfalls of sharding and replicating databases, but you should be aware such things are possible and be ready to explain why they exist
• You should understand what's Nginx and how it interacts with Django, even though it's totally fine if you're unable to configure Nginx yourself
• You’ve written unit-tests for your code long enough to have a taste of how a good test looks like, and follow testing best practices
• You understand the value and cost of abstraction and have a habit of making refactorings to follow best practices and apply programming principles such as DRY, SRP, YAGNI, etc.
• You are familiar with some software design patterns and can implement them in Python
• You feel comfortable in the Unix shell. You generally prefer TUIs and CLIs over graphical UIs and it often feels simpler to you to just type a command in the terminal than to click around

Compensation

We'll propose an above-average salary should your skills match our requirements. Paid vacations, sick leaves, days off for personal business, etc. are, of course, included.

Senior Python Engineer (AI-driven Recommendation Platform, iGaming domain)

About the product
AI-powered performance improvement platform for online casinos and sportsbooks.
The product helps operators increase key business metrics by enhancing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform aggregates and analyzes player behavior data across multiple client platforms, builds detailed player profiles, and provides insights and recommendations such as:

• identifying users who exploit bonus systems without long-term engagement,
• detecting patterns of risky or excessive play to promote responsible gaming,
• recommending relevant games and activities based on user preferences and history.

You’ll be part of a team building scalable recommendation systems, working with large datasets, and applying ML-driven personalization to improve the user experience across iGaming products.

Requirements

• 5+ years of experience in backend development with Python
• Strong background in math, statistics, or computer science
• Experience with FastAPI / Django / Flask
• Solid understanding of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases (PostgreSQL, Redis, DynamoDB, MongoDB, etc.)
• Practical knowledge of Kafka / RabbitMQ and asynchronous architectures
• Cloud experience (AWS — Lambda, S3, RDS, SQS, etc.)
• Experience building high-load and scalable systems
• English — (B2)

Nice to have

• Experience with recommendation systems, data analysis, or ML-driven personalization
• Familiarity with data pipelines and ETL processes
• Experience with Kubernetes, Docker, CI/CD
• Familiarity with Elasticsearch or data visualization tools (Grafana, Kibana)

Responsibilities

• Design and develop scalable backend components for AI-driven recommendation systems
• Work closely with data scientists and ML engineers to integrate models into production
• Optimize data retrieval, storage, and processing for large user datasets
• Ensure system stability, performance, and scalability
• Participate in architectural decisions, code reviews, and mentoring
• Contribute to building new features that improve player engagement and retention

Tech stack

Python, FastAPI, Django, Flask, Kafka, RabbitMQ, PostgreSQL, Redis, DynamoDB, AWS (Lambda, S3, RDS, API Gateway, CloudWatch), Kubernetes, Pandas, Numpy, SQLAlchemy, Celery, Elasticsearch, Prometheus, Grafana.

Our client is a global consumer goods company investing heavily in digital transformation and advanced AI. You will build and ship AI-powered products end to end that improve operations and decision-making across multiple business units.

What you will do

Design, implement, and scale production systems, APIs, data flows, and user interfaces. Integrate LLMs and ML components, ensure reliability and performance, and collaborate with a senior engineering team in a fast-moving environment.

Must-have experience

• 7+ years leading end-to-end software development, including greenfield builds
• Python 3+ years with typing; Flask or Quart for APIs and WebSockets; Docker
• Node.js with TypeScript 5+ years
• Angular v18+ 3+ years; solid HTML/CSS/SCSS/JavaScript; responsive UI/UX
• Databases: PostgreSQL and SQL 10+ years including complex queries, functions, procedures; MongoDB
• AI: hands-on with ML models and LLMs (OpenAI/GPT or similar), embeddings, vector databases (Qdrant is a plus)
• Git 3+ years; proficiency with VS Code
• Strong software architecture skills and practical cloud experience

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Saturday & Sunday options by GMT+2 (choose one):

• 00:00–06:00
• 12:00–18:00
   

What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

We are looking for a dynamic Python AI Engineer (Generative NLP, AI Agents, Prompting) with strong experience in Python API development. This is an exceptional opportunity for someone passionate about shaping the future of AI-driven conversational interfaces and eager to work with cutting-edge technologies, including API development and integration of LLM APIs such as those offered by OpenAI.

As a Python AI Engineer, your primary mission will be to design, develop, and deploy AI solutions that integrate into our existing systems. You will have the chance to work on API development as well as prompt-based and API-based solutions, reflecting our commitment to rapid delivery without compromising on innovation.

About the project:

A stable enterprise product for creating marketing presentations, preparing accompanying materials, and developing sales cycle business assistants for global pharmaceutical companies such as AstraZeneca, Novartis, Pfizer, Veeva etc., and financial institutions like ING and Van Lanschot. Completely our code base, we have been developing it since 2015.

Our services are distributed across multiple Availability Zones, adhering to a service-oriented architecture. Since 2018, we have prioritized GraphQL, although we maintain comprehensive support for RESTful APIs. Our core API services are built on a diverse stack of programming languages, each chosen to optimize task performance. This stack includes a rapidly evolving Golang Core API, legacy Core API services in PHP (leveraging frameworks like Laravel and Yii2) for established business logic and data layer interactions, Node.js (utilizing both JavaScript and TypeScript), Python APIs, and .NET Core C# components.

We utilize a hybrid cloud infrastructure, harnessing the strengths of both AWS and GCP to meet our operational needs, and focus on Serverless. Our work also involves extensive integration with API partners, including Veeva, Salesforce, and a variety of others, to ensure a seamless and robust service ecosystem.

As a product with high-security requirements, we undergo regular penetration testing from auditors and client companies to ensure compliance with industry standards such as OWASP, SOC, and ISO.

Key Responsibilities:

- Design, develop, and deploy AI solutions utilizing Python.

- Construct and enhance Chains, AI Agents, and AI Pipelines with tools such as Langchain and LlamaIndex.

- Develop robust APIs leveraging Flask and FastAPI frameworks.

- Develop solutions using Vector Databases.

- Gather, clean, and analyze data to uncover patterns and derive insights.

- Research and apply novel AI techniques and algorithms for continuous improvement.

- Fine-tune LLMs using both manual and automated feedback mechanisms.

- Ensure the reliability and optimal performance of AI services through diligent site reliability engineering.

- Work collaboratively with cross-functional teams to craft impactful AI solutions that drive business growth.

Qualifications:

- Bachelor’s degree in Computer Science, Artificial Intelligence, or a closely related field.

- Prompt engineering skills.

- High proficiency in at least one of the following programming languages: Python, TypeScript, Golang, or Rust.

- Minimum of 1 year experience in developing AI solutions, preferably with LLMs.

- Strong foundation in Python, with at least 1 year of experience.

- Ability to design, develop, and deploy machine learning models.

- Basic NLP skills, including sentiment analysis, named entity recognition, and part-of-speech tagging.

- Understanding of machine learning principles and algorithms.

- Familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.

This position offers the chance to be at the forefront of AI development, working on solutions that leverage the latest advancements in AI technology. If you are driven by innovation, eager to tackle challenging problems, and ready to make a significant impact, we would love to hear from you.

Benefits:

In addition to a great base salary, we offer:

1) Funding for conferences, co-working spaces, software licenses, and other work-related expenses

2) MacBook if you require one

3) Mobile devices if you are involved with mobile development projects

4) Flexible working hours and fully remote working without micromanagement

5) Modern technology stack

6) Time for open source development

7) Bonus at the end of the year

8) Paid study leave

9) Paid English language courses

10) 36 company-paid days off per annum

11) Access to educational streaming services like Pluralsight

12) Input on the development of the company

Our core values:

We are open-minded, humble, respectful, self-driven, and honest, which allows us to create an atmosphere of synergy. Our team is a great fit for those who value self-organization and are passionate about personal growth. If this resonates with you, we’d love to have you join the team.

Description

We are seeking a highly skilled AI/ML engineer to help us with the digital transformation of testing processes.

We aim to enhance QA processes by powering continuous integration and development with more automated checks and AI integration into development infrastructure. You will support data curation for model training and evaluation, and contribute to recommendation systems and model tuning.

By integrating AI-based plugins into CI pipelines, we aim to shorten the time for root-cause analysis of issues that occur during planned runs. Implementation of Jira issue categorization using AI models will help us with triaging.

Job Description:

6+ years of experience as an AI/ML Engineer or similar role in data-intensive environments.
Strong hands-on expertise with:

• Background in AI/ML pipelines and model lifecycle management. 
• Familiarity with data curation and feature engineering. 
• Experience with integrating into existing CI/CD pipelines. 
• experience in training, fine-tuning, evaluating, and deploying ML models in production environments
• Upper-intermediate English proficiency (both spoken and written
• Knowledge of Jira or other issue tracking systems 
• Python proficiency for ML integration and automation.

Nice to Have:

• Experience integrating ML systems with APIs or back-end services

Job responsibilities

• Assist in integrating AI into DevInfra workflows, with planned expansion to QA-related tasks. 
• Support data curation for model training and evaluation. 
• Contribute to the development of recommendation systems and model tuning. 
• Integrate AI-based plugins into CI pipelines. 
• Implement Jira issue categorization using AI models. 

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About the Role:

We’re looking for a Vibe Coder — a proactive and curious developer eager to dive into the world of AI, LLMs, and innovative internal tools. This is a perfect role for someone with a solid technical background (preferably a recent graduate or final-year student) who wants to grow fast by working hands-on with cutting-edge technologies.

You’ll work on internal R&D initiatives, experimenting with product ideas and integrating AI-driven features. While the role has a strong backend focus, you’ll also get the chance to explore the “vibe” of front-end coding — building functional and intuitive interfaces to bring ideas to life.

👉 What You’ll Do:

• Develop and maintain internal tools and prototypes related to AI and LLM initiatives.
• Work primarily with Python (Django or FastAPI) and learn to extend functionality into the front end.
• Collaborate closely with internal teams to turn ideas into working product experiments.
• Continuously research, test, and apply new technologies in AI-driven development.
• Participate actively in brainstorming sessions and product discussions.

👉 What We’re Looking For:

• 1–2 years of hands-on commercial coding experience.
• Technical education background — Computer Science, Engineering, or related field.
• Solid knowledge of Python, experience with Django or FastAPI is a strong plus.
• Eagerness to learn and experiment with LLMs, AI frameworks, and front-end basics.
• A proactive and self-driven attitude — you don’t wait for tasks, you create them.
• Curiosity about how products are built and how AI can enhance real-world solutions.

👉 What we offer:

📈 Professional Growth Opportunities

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;

• Possibility for both vertical or horizontal growth (in case you want to try a different path).

   

🎁 Benefits Program

• 18 working days of fully paid days off.
• Help with individual entrepreneurs’ questions and accounting support;

• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

   

😌 Comfortable Working Conditions

• Flexible working hours;
• Provision of required equipment;
• Remote working model.

Are you an easy-going and experienced professional?

Then this opportunity below is right for you!

On behalf of our Norwegian Client — NUU (nuu.no), we are looking for an expert Python developer.

NUU — is a modern recruitment tool where job seekers can make their own video-CV. With a skilled team, a curious corporate culture, and best-in-class technology, they help companies make recruitment efficient and fun.

Leading technologies — Python, Django, Elasticsearch, Redis, Unix shell (Ubuntu), PostgreSQL, AWS (S3, EC2).

What are you going to deal with

• Development of new features and maintenance of the existed ones;
• Troubleshooting of end-users problems;
• Environment maintenance;
• Direct communication with the client (CEO, Product Owner) and participation in product evolution;
• The team is still small, so a lot is possible!

Is it you?

• 5+ years of experience with Python;
• Experience with the backend is a must, meaning designing DB, API, knowledge of best practices in Python;
• 3+ years of experience with Django + Django REST framework environment;
• Working experience with back-end environment — Unix shell (Ubuntu);
• Working experience with PostgreSQL and AWS;
• It will be a plus an experience with Heroku, Nginx, JIRA, GitHub, Sentry, New Relic;
• Ability to debug;
• Desire to learn more and improve oneself;
• Outstanding communication skills with team members, senior staff members, and clients;
• Ability to write simple unit tests;
• Follow tech trends and implement the best practices;
• Self-manageable and proactive person;
• English — speaking level no less than Intermediate;

Reasons to join us

• Fully remote work;
• Friendly environment with minimum bureaucracy;
• 20 working days of annual paid vacation + holidays;
• Paid sick-leaves;
• Professional education coverage (conferences, webinars, online courses, certificates);

We are looking for a Senior Python Developer to join our team on an outstaffing basis.

📌 About the Project:
The project focuses on building internal AI- and data-driven applications using Databricks and Streamlit, aimed at improving investment analytics and internal decision-making processes. Tools leverage LLM integrations to streamline data workflows and provide actionable insights.

⏳ Project Duration: 3 months
🌎 Location: Canada 
🗣 Language: English B2+

🔧 Requirements:

• 5+ years of Python development experience
• Proven experience with Databricks and Streamlit
• Background in data engineering / analytics (SQL, data transformations, pipelines)
• Experience building LLM-integrated applications (OpenAI, Anthropic, etc.)
• Familiarity with cloud environments (AWS / Azure / GCP) and version control (Git)
• Excellent communication skills and ability to collaborate in distributed teams

💡 Nice-to-have:

• Experience with Golang or React
• DevOps knowledge (CI/CD, containerization, cloud functions)

• Experience with data analytics projects

   

🧩 Key Responsibilities:

• Develop and maintain applications built with Databricks and Streamlit
• Design and implement LLM integrations (model interaction, prompt handling, deployment)
• Collaborate closely with data and product teams to deliver pipelines, analytics, and insights
• Optimize and refactor existing code for scalability and maintainability
• Contribute to ad-hoc internal tools and automation initiatives

• Participate in feature discussions, prioritize tasks, and provide technical input for roadmap planning

   

📩 Interested? Send your CV in DM!