Jobs Python

About the role

We are looking for a Senior Backend Engineer to join Proxet and contribute to a long-term engagement with a UK-based technology company developing simulation and decision-support solutions for governments and enterprises.

 

Who are we looking for?

Skills & Experience

• 7+ years of professional software engineering experience, with strong hands-on expertise in Python backend development.
• Experience building and maintaining production services, APIs, and integrations.
• Good understanding of distributed systems, microservice architectures, and asynchronous data processing.
• Experience with relational databases, preferably PostgreSQL, including schema design, query optimisation, and troubleshooting.
• Experience with data ingestion, processing pipelines, and integration of external data sources.
• Practical experience deploying and troubleshooting applications using Docker and Kubernetes.
• Experience with CI/CD pipelines, Git workflows, and automated testing.
• Strong debugging skills and the ability to investigate issues across services, data flows, and deployment environments.
• Experience using AI coding assistants in development, with the ability to review, validate, and take responsibility for generated code.
• Experience communicating directly with customers or external stakeholders to clarify requirements and resolve technical questions.
• Ability to explain technical concepts clearly to non-technical audiences and translate operational needs into engineering tasks.
• Strong ownership, sound technical judgement, and comfort working with evolving requirements.
• Understanding of the Ukrainian context and confidence in communicating with local organisations.
• Professional proficiency in Ukrainian and English for customer meetings, technical discussions, and written communication.
• Willingness and ability to travel to customer sites within Ukraine.

Nice to have

• Hands-on experience with Kafka publishers and consumers.
• Experience with Dagster or similar data orchestration tools.
• Experience working with public-sector organisations, local authorities, or infrastructure operators.
• Experience adapting and deploying software in customer-managed or private-cloud environments.
• Familiarity with GCP, AWS, or Azure.
• Experience with Helm, OpenShift, and shell scripting.
• Familiarity with Parquet, object storage, and metadata management.
• Experience integrating AI agents, MCP interfaces, or LLM APIs.
• Familiarity with simulation platforms, digital twins, or decision-support systems.
• Knowledge of C++.

Responsibilities

• Design, develop, and maintain Python backend services and APIs supporting customer applications and simulation workflows.
• Work directly with customers and external organisations in Ukraine to understand their needs, operational processes, and local constraints.
• Participate in customer meetings, clarify requirements, and explain technical options and trade-offs.
• Translate customer needs into implementation tasks, data requirements, and integration specifications.
• Adapt existing platform capabilities to local use cases and share customer insights with the wider engineering and product teams.
• Build and maintain data ingestion and processing pipelines using Dagster.
• Integrate customer data sources with platform services and containerised simulation models.
• Work with Kafka publishers and consumers to process simulation outputs.
• Design and optimise PostgreSQL schemas and queries, and support appropriate data storage solutions.
• Build reusable backend components and identify opportunities to apply customer-specific improvements across other deployments.
• Contribute to deployment and troubleshooting of containerised applications in Kubernetes-based environments.
• Maintain automated tests and CI/CD workflows to support reliable delivery.
• Collaborate with frontend engineers, platform specialists, modellers, and delivery stakeholders.
• Participate in code reviews and technical design discussions, documenting decisions and integration approaches.
• Use AI development tools effectively while maintaining code quality, correctness, and maintainability.
• Communicate progress, dependencies, and technical issues clearly to both internal teams and customer stakeholders.

Ми шукаємо Senior Python Backend Developer у продуктову команду, яка розробляє real-time платформу для крос-біржового арбітражу на perpetual futures.

Це технічно складний FinTech/crypto продукт із фокусом на швидкість виконання, стабільність, роботу з біржами та обробку даних у real-time.

Технологічний стек:

• Python 3.11+, asyncio, FastAPI, Pydantic
• PostgreSQL, SQLAlchemy async, Alembic, TimescaleDB
• Redis
• NATS JetStream, Kafka
• aiohttp, httpx, WebSockets
• ccxt та API криптобірж
• AWS, Docker, GitHub Actions
• Prometheus, Grafana, OpenTelemetry

Проєкт працює з Binance, MEXC, BingX, Bybit та іншими біржами.

Що потрібно буде робити:

• розвивати Python backend та існуючу мікросервісну архітектуру;
• працювати з real-time market data та execution flow;
• інтегрувати нові криптобіржі та підтримувати існуючі інтеграції;
• працювати з REST API та WebSockets;
• оптимізувати latency та продуктивність системи;
• працювати з PostgreSQL, Redis, Kafka/NATS;
• забезпечувати надійність системи при помилках, часткових відмовах та проблемах із зовнішніми API;
• працювати з trading logic: ордери, risk checks, retry/rollback, reconciliation;

• підтримувати observability та моніторинг системи.

   

Що ми очікуємо:

• 3+ роки комерційного досвіду з Python Backend;
• хороший практичний досвід з asyncio та асинхронним Python;
• досвід із FastAPI / Pydantic;
• впевнене знання PostgreSQL та SQL;
• досвід із distributed/event-driven системами та хоча б одним із брокерів: Kafka, NATS або RabbitMQ;
• розуміння concurrency, race conditions, retries, idempotency та partial failures;
• досвід інтеграції сторонніх API;
• самостійність та здатність працювати з технічно складними задачами.

Важливий момент:

На проєкті основний фокус саме на async Python. Тут не використовуються Django/DRF та Celery, тому нам важливий кандидат, який має реальний досвід роботи з asyncio та розуміє, як працюють конкурентність і event loop.

Умови:

• Формат: remote;
• Графік: 9:00–18:00 або 10:00–19:00;
• Оплата: у USD, двічі на місяць;
• невелика продуктова команда: Product Owner, Architect, Backend, Frontend, DevOps;

• мінімум бюрократії та багато самостійності.

   

Процес найму:

1. Коротка онлайн-зустріч із рекрутером.
2. Технічна співбесіда з CTO.
3. Офер.

На технічному етапі основний фокус буде на asyncio, concurrency, distributed systems, queues та поведінці системи при часткових відмовах.

We're seeking a talented AI Automation Engineer to build reliable AI-powered workflows that automate real business processes for clients in the US and Europe. If you're experienced with n8n, Make, APIs, and LLM integrations and enjoy turning manual processes into efficient automated systems, we'd love to hear from you!
 

Core Competence:
 

• At least 3 years of professional experience in automation, backend development, or a related technical role, with hands-on experience building and maintaining production workflows.
• Practical experience building workflows with n8n, Make, Zapier, or similar automation platforms.
• Working knowledge of JavaScript or Python for building custom logic, services, and integrations.
• Strong understanding of REST APIs, webhooks, OAuth, and third-party system integrations.
• Practical experience integrating OpenAI, Claude, or similar LLM APIs into automated workflows.
• Experience implementing error handling, retries, logging, monitoring, and human approval steps to ensure reliable automation.
   

Preferred Qualifications:
 

• Experience integrating HubSpot, Salesforce, Airtable, Google Workspace, Microsoft 365, or similar business platforms.
• Experience with voice or SMS automation using Twilio, GoHighLevel, or related tools.
• Experience self-hosting n8n using Docker.
• Understanding of workflow documentation and designing automations that can be maintained by client teams.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build practical AI automation solutions using modern LLMs, workflow platforms, and business integrations.
• Direct communication with clients from the US and Europe and the opportunity to understand their processes and design effective solutions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

We're seeking a talented Python Backend Developer to build reliable backend services for data-heavy SaaS platforms, integrations, and AI-powered products for clients in the US and Europe. If you enjoy owning backend features from data model to production, we'd love to hear from you!

Core Competence:

• At least 3 years of professional experience in backend development, with strong Python skills and hands-on experience building production applications.
• Strong experience with FastAPI and asynchronous programming; experience with Django or Flask is also relevant.
• Solid knowledge of PostgreSQL, including database design, indexing, migrations, and query optimization.
• Experience building REST APIs and background jobs for production applications.
• Proficiency with Docker, CI/CD, and at least one major cloud platform such as AWS, GCP, or Azure.

• Experience writing automated tests with pytest and following production-quality development practices.

   

Preferred Qualifications:

• Experience working with LLM APIs, RAG features, or AI-powered applications.
• Knowledge of Celery, Redis, or other queue and background-processing systems.
• Experience with Supabase, multi-tenant SaaS platforms, or role-based access control.
• Experience integrating third-party APIs such as Stripe, HubSpot, Google, or Twilio.

• Upper-intermediate level of English for clear and effective communication in a global team.

   

What We Offer You:

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build modern SaaS and AI-powered products and continuously develop your backend expertise.
• Direct communication with clients from the US and Europe and the opportunity to contribute to technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

We're seeking a talented AI Engineer to build production-ready AI features and help turn LLM ideas into reliable products for clients in the US and Europe. If you're experienced with RAG, AI agents, and LLM APIs and want to work on real-world AI products, we'd love to hear from you!

Core Competence:
 

• At least 3 years of professional experience in software development, with strong Python and production backend development skills, preferably with FastAPI or a similar framework.
• Hands-on experience building RAG pipelines, including ingestion, chunking, embeddings, vector search, reranking, and citations.
• Practical experience with OpenAI and/or Anthropic APIs, function calling, structured outputs, and multi-step AI agents.
• Experience with vector databases such as Qdrant, pgvector, Pinecone, Weaviate, or similar technologies.
• Solid knowledge of PostgreSQL, Docker, REST APIs, Git, and production software development practices.
• Ability to communicate technical concepts and explain architectural trade-offs clearly to non-technical clients in English.
   

Preferred Qualifications:
 

• Experience with LangGraph, LangChain, LlamaIndex, or MCP servers.
• Knowledge of LLM evaluation and tracing tools such as LangSmith, Langfuse, or similar.
• Experience with voice agents, document AI, OCR, or related AI applications.
• Experience with TypeScript / Next.js for building interfaces around AI features.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build production AI products for clients in the US and Europe and work with modern AI technologies.
• Direct communication with international clients and the opportunity to have a real impact on product and technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- 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;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

Hi! We are looking for a Middle Backend Engineer to develop the backend for a new AI-powered video recording and editing platform with Mobile, Web, and Desktop clients.
 

Key Responsibilities

• Design, develop, and maintain backend services for cross-platform applications.
• Build REST APIs for content management, including secure S3 uploads, media metadata, thumbnails, and scheduling.
• Orchestrate video processing jobs using existing AI workers on RunPod, including job scheduling, status tracking, and error handling.
• Integrate third-party services for payments, analytics, AI, and API security (e.g., RevenueCat, Firebase App Check, OpenAI).
• Implement real-time communication and state synchronization between clients using WebSockets.
• Develop and maintain background jobs, queues, and scheduled tasks.
• Collaborate with product managers and client application developers.
• Participate in architectural decisions and technical improvements.

Requirements

• Solid experience with backend frameworks, databases, and database design.
• Understanding of authentication, authorization, and API security.
• Experience integrating third-party APIs and handling webhooks.
• Experience with Docker, Git, and CI/CD pipelines.
• Ability to deliver maintainable, production-ready code.

How to Apply

Please respond with 1–2 relevant projects.

This is not a traditional fullstack development assignment. Client requires specialists capable of combining established software engineering practices with the design, integration and optimisation of AI-powered functionalities within business-critical banking applications.

The candidates will initially support the maintenance, stability and continuous improvement of existing applications. Over time, they will progressively assume full responsibility for implementing new functionality and translating business requirements into production-ready solutions.

Key responsibilities:
1. Maintain, troubleshoot and continuously improve existing applications and services to ensure stability, performance and reliability.
2. Independently analyse business requirements, design solutions and implement new application features and enhancements.
3. Contribute to the design, development and continuous improvement of AI-powered application functionalities.
4. Support the architecture and implementation of intelligent chatbot solutions powered by Large Language Models.
5. Develop and integrate application interfaces to enable reliable communication between internal systems, external platforms and AI services.
6. Participate in architectural decisions concerning application scalability, infrastructure, maintainability and security.
7. Support deployment, operation and optimisation of applications within cloud-native and containerised environments.
8. Collaborate closely with developers, architects, business stakeholders and other cross-functional team members.
9. Work within an Agile/Scrum environment, participating in planning, refinement, implementation and delivery activities.
10. Apply secure development practices, including protection against misuse, inappropriate content and unauthorised access.
11. Ensure that implemented solutio

Must-haves:
1. Python development: Strong professional experience developing, maintaining and optimising backend services using Python. Candidates must be capable of independently implementing complex business logic and delivering reliable, maintainable applications.

2. Angular 21+: Hands-on experience developing modern frontend applications using Angular version 21 or newer, including implementing new features, maintaining existing components and integrating frontend applications with backend services.

3. Fullstack software engineering: Proven ability to work across frontend and backend components, understand end-to-end application architecture and deliver complete functional solutions.

4. AI and LLM integration: Practical experience designing, developing and integrating AI-powered application components, particularly solutions based on Large Language Models.

5. LangChain and LangGraph: Hands-on experience with both frameworks to develop, orchestrate and manage LLM-driven workflows, application logic and AI-based interactions.

6. MCP and A2A: Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies for connecting AI systems, external tools and agent-based functionalities.

7. LLM chatbot development: Experience designing and implementing LLM-powered chatbot solutions, including conversation handling, integration with existing systems and production deployment.

8. Prompt Engineering: Ability to design, structure, test and optimise prompts to improve the quality, consistency, reliability and relevance of AI-generated responses.

9. OpenAI integration: Experience integrating OpenAI or comparable AI platforms into software applications through APIs and related integration mechanisms.

10. AI solution architecture: Understanding of architectural patterns for building secure, reliable, scalable and maintainable AI-powered software solutions.

11. Containerisation and orchestration: Practical experience with OpenShift, Kubernetes and Docker for deploying, managing and maintaining containerised applications.

12. GitLab and Helm: Experience using GitLab within software development workflows and Helm for managing application deployments in Kubernetes environments.

13. PostgreSQL: Experience working with PostgreSQL databases, including application integration, data persistence and database-related development activities.

14. REST API development: Strong experience designing, developing, integrating and maintaining REST APIs and other application interfaces.

15. Network infrastructure and security: Good understanding of networking principles, infrastructure components, secure communication and relevant application security concepts.

16. AI application security: Experience implementing security and protection mechanisms, specifically:
- Rate limiting to control request volumes and prevent misuse.
- Spam protection to reduce malicious or unwanted interactions.
- Guardrails to control AI behaviour and enforce application policies.
- Content filtering to prevent inappropriate or prohibited outputs.
- Content moderation to identify and manage potentially harmful user inputs and AI-generated content.
17. Agile/Scrum: Practical experience working within Agile software development teams, including sprint planning, collaboration, iterative delivery and continuous improvement.

18. Jira and Confluence: Experience using Jira for task and project tracking and Confluence for technical documentation and knowledge sharing.

19. Independent delivery: Ability to transition from supporting maintenance activities to independently owning the implementation of new features and business requirements.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

Summary

• Senior Python Engineer for Pathfinder (strategic roadmapping & portfolio planning platform) at a travel agency.
• Focus: backend, data processing, APIs, performance & scalability. Ukraine, ФОП 3 група

About the Client & Project

We are partnering with a travel agency. You will join a cross-functional team building Pathfinder - a complex, data-heavy web application designed for strategic roadmapping and portfolio planning.

The focus of this role is backend engineering, data processing, APIs, performance, and scalability.

About the Role

As a Senior Python Engineer, you will become part of a mixed internal and client-side team that includes:

• Senior Python Engineer(s)
• Senior Full-Stack Engineer
• Senior JavaScript Engineer
• Senior AQA / Manual QA
• Senior DevOps
• Senior Product Designer
• Solution Architect

You will work closely with the Solution Architect and the rest of the team within a shared tech stack. The environment is lean, fast-moving, and start-up-like, with evolving requirements.

Key Responsibilities

• Design and develop robust, scalable backend services and APIs
• Build efficient solutions for large-scale data processing, transformation, and aggregation
• Implement appropriate caching, queuing, batch processing, and optimisation where needed
• Write clean, testable, and maintainable code with strong automated test coverage
• Investigate and resolve complex technical and performance issues
• Collaborate closely with Solution Architect, AQA, Manual QA, and Front-end developers
• Design solutions with performance, scalability, reliability, and maintainability in mind
• Make pragmatic technical decisions considering cost, performance, and development effort
• Challenge unnecessary complexity and deliver what is actually needed

Requirements

• Strong commercial experience with Python and modern Python frameworks
• Proven ability to design and develop robust, scalable backend services and APIs
• Experience building efficient large-scale data processing, transformation, and aggregation solutions
• Strong knowledge of SQL and relational databases (query optimisation and data modelling)
• Experience with REST APIs, service integration, and asynchronous / background processing
• Solid understanding of software architecture and engineering principles (beyond framework-level development)
• Ability to analyse technical problems and choose the most appropriate solution
• Comfort working with complex data models and business logic
• Strong focus on performance and efficiency, especially when processing large datasets
• Clear understanding of the trade-offs between simplicity, scalability, and maintainability

Note: AWS experience is not required.

Nice to Have

• Strong engineering fundamentals and a pragmatic, no-over-engineering mindset
• Ability to take ownership of technically challenging backend and data-processing problems and deliver robust, evolvable solutions

Engagement Details

• Location: Ukraine
• Contract type: ФОП 3 група (FOP 3rd group)
• Model: Direct Hire
• Duration: 4 months (November start - contract will not be prolonged)
• Start date: Beginning of November
• Working hours: European time zone

• Project Description:

  The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

• Responsibilities:

  - Operate within D&A Landscape primarly using AWS Cloud Services and Azure AD, supporting our R&D efforts in drug discovery and development.
  - Supporting and implementing the technical roadmap
  - maintaining platform functionalities, engineering data archive process and adapting to emerging technologies.
  - implementing new features and building and managing deployments.

• Mandatory Skills Description:

  Programming Skills: In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
  • Services : Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
  • Cloud Skills: Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
  • Best Practices: Knowledge of Object Oriented Programming (OOP) and design patternsand excellent code and technical documentation as well as experience with code review.
  • CI/CD & Automation: Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure DevOps).
  • Testing Framework: Experience in testing framework
  • Security: Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

• Nice-to-Have Skills Description:

  Containerization: Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
  • Data Tools: Experience with Iceberg and Snowflake.
  • Familiarity with Terraform, CloudFormation, or CDK for infrastructure automation.
  • Knowledge of NoSQL databases.

• Languages:
  • English: B2 Upper Intermediate

We are looking for a Senior Python Developer for a very long-term project.

Must have Python: website scraping, FastApi, Websockets, asynchronous programming, object-oriented programming. 

Databases: SQL Server, Redis

Good English, the interview with the customer would be in English

Great communication, team player, hard worker, having a sense of urgency

Working hours Israel - from Sunday to Thursday, Friday Saturday days off 

Sometimes, needs to fix bugs during nights or weekends, depending on the level of code - the better level, the fewer issues

The project is about collecting and processing data for sports games, to provide data as a service for other services.

It's a data-collecting and processing platform, there are a lot of parsing and scraping tasks.

We are an outstaff company, working with a client for a long time, looking for a new team member to make the team stronger.

We’re looking for a Python Full-Stack Developer with 1–2 years of experience to help build and maintain web applications and backend services.

You’ll work closely with experienced engineers to develop new features, integrate APIs, and contribute to reliable, user-friendly applications while continuing to grow your technical skills.

What you’ll do

- Develop and maintain backend services and REST APIs using Python
- Work with frameworks such as FastAPI, Django, or Flask
- Build and maintain frontend components using JavaScript or TypeScript and React
- Work with relational databases such as PostgreSQL or MySQL
- Write clean, maintainable, and testable code
- Integrate third-party APIs and external services
- Write unit tests and participate in code reviews
- Troubleshoot bugs and improve application performance
- Use Git for version control and collaborate with the development team
- Participate in technical discussions and contribute to improving existing solutions
- Document technical implementations when needed
 

What we’re looking for

- 1–2 years of commercial experience in Python development
- Good knowledge of Python fundamentals and object-oriented programming
- Familiarity with at least one Python web framework, preferably FastAPI or Django
- Understanding of REST APIs and HTTP fundamentals
- Experience working with SQL databases, preferably PostgreSQL
- Basic knowledge of JavaScript or TypeScript, HTML, and CSS
- Familiarity with React or another modern frontend framework
- Understanding of Git, unit testing, and software development best practices
- Basic knowledge of Docker and application deployment concepts
- Good problem-solving skills and willingness to learn
- Intermediate English or higher
 

Nice to have

- Experience with asynchronous programming in Python
- Familiarity with Redis or other caching solutions
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with CI/CD pipelines
- Experience integrating AI APIs or working with LLM-based applications

🎁 What we offer
- 100% remote work
- Flexible working hours
- Competitive compensation
- Paid vacation and sick leave
- Health insurance / medical support
- Professional development and learning opportunities
- A friendly, supportive team with direct communication
- The opportunity to work on challenging international projects

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

Project overview:

Group107 is building a dedicated AI Unit to drive automation across the company and deliver AI-powered solutions for client projects.

We are hiring Junior AI Developers who think fast, learn faster, and are already productive with modern AI-assisted development workflows.

You will work directly under the Tech Director and grow into autonomous AI engineers capable of owning full delivery pipelines.

Requirements:

• 1+ year of hands-on software development experience (commercial or substantial personal projects)
• Demonstrable proficiency with AI coding tools: Claude Code, Cursor, GitHub Copilot, or equivalent
• Working knowledge of at least one: TypeScript/JavaScript or Python
• Experience deploying web applications (Vercel, Netlify, or similar)
• Understanding of LLM fundamentals: prompting, context windows, token management, tool use
• Ability to read, debug, and refactor AI-generated code critically — not just accept output blindly
• Git proficiency and basic CI/CD awareness
• Strong English communication (both written and spoken)
   

Nice to have:

• Experience with v0, Bolt, Lovable, Replit Agent, or similar AI app builders
• Familiarity with MCP (Model Context Protocol) and agentic AI patterns
• Contributions to open-source AI tools or published AI-related content
• Experience with RAG pipelines, vector databases, or embeddings
• Backend experience with Node.js, Next.js, or FastAPI
• Understanding of DevOps basics: Docker, serverless functions, edge computing
   

Responsibilities:

• Build internal automation tools and workflows using AI coding assistants (Claude Code, Cursor, Copilot)
• Develop and ship AI-powered features and full applications for client projects
• Prototype rapidly using vibe-coding methodology — prompt-driven development with AI pair-programming
• Integrate LLM APIs (Anthropic, OpenAI, open-source models) into production systems
• Deploy and maintain applications on modern platforms (Vercel, Cloudflare, AWS)
• Create and manage AI agents, MCP servers, and tool-use pipelines
• Evaluate, benchmark, and select AI models and tools for specific use cases
• Document solutions, write technical specs, and contribute to the internal knowledge base
  
  We offer:
• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

• You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

   

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

   

• Mandatory Skills Description:

  - 6+ years of commercial experience with Python
  - 2+ years of PySpark experience
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

   

• Nice-to-Have Skills Description:

  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

   

• Languages:
  • English: B2 Upper Intermediate