Jobs Python

We are hiring a Full Stack & Python AI Engineer for an international product company operating globally in the consumer and manufacturing domain. The company is building internal digital platforms focused on automation, data-driven decision-making, and AI-powered workflows used across multiple business units.

The role is part of a long-term initiative to develop and evolve core internal systems that combine modern web applications, real-time communication, and LLM-based features.

You will work across the full stack, owning features end to end, from Angular frontend components to Python backend services and AI integrations.

Responsibilities

• Develop full stack features using Angular 18+ and Python

• Build backend services with Quart (async Flask-style framework)

• Design and maintain REST APIs and WebSocket-based real-time functionality

• Implement AI-driven features using LLMs, embeddings, and RAG pipelines

• Work with vector databases (Qdrant or similar) and MongoDB

• Use Docker for development and deployment workflows

• Improve existing systems, focusing on performance, scalability, and architecture

• Collaborate with engineers and stakeholders on system design and long-term evolution

Requirements

• 7+ years of overall experience as a full stack or backend-focused engineer

• Strong hands-on experience with Python, including Flask or Quart

• Production experience with Angular (project uses Angular 18+)

• Experience building Web APIs and real-time systems

• Hands-on experience with LLMs, embeddings, and text-based AI use cases

• Experience working with MongoDB and SQL databases

• Practical experience with Docker

• Ability to work independently and take ownership of complex systems

• Professional English level

Nice to Have

• Experience with Azure

• Familiarity with LangChain or LangGraph

• Background in enterprise or manufacturing-related systems

• Experience with Django

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects, and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture sustain Syndicode’s success. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, and Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and can analyze a variety of sources to make sound, timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the role

As a Python Team Lead, you will be responsible for the backend architecture that supports the mobile application. You will lead the development team, make critical architectural decisions, ensure high availability and performance of APIs used by mobile apps, and promote technical excellence throughout the project.

What you’ll be doing

• Lead and manage a cross-functional engineering team of  back-end, web, or mobile developers
• Own technical architecture decisions and drive the overall backend and API strategy
• Define development standards, code review processes, and testing practices across the team
• Coordinate work between backend and client engineers to ensure seamless API contracts and integration
• Hands-on contribution to critical backend services and infrastructure using Python (FastAPI/Django)
• Build and optimize scalable, service-oriented systems supporting real-time features
• Ensure platform security, GDPR compliance, and audit logging
• Mentor and grow engineers technically and professionally, fostering a culture of ownership and quality 

What you’ll need

• 6+ years of professional software development experience, with strong Python backend expertise
• 2+ years of experience leading or managing engineering teams
• Proven experience building and shipping products that span web and mobile platforms
• Deep understanding of RESTful API design
• Strong experience with relational databases (PostgreSQL), data modeling, and query optimization
• Experience with cloud platforms (AWS or GCP), containerized deployments (Docker, Kubernetes), and CI/CD pipelines
• Familiarity with mobile development workflows, release cycles, and platform-specific constraints
• Solid understanding of testing strategies (unit, integration, e2e) and quality assurance practices across backend and mobile
• Experience with event-driven architectures, message queues (Redis, RabbitMQ, or Kafka)
• Strong understanding of asynchronous programming (asyncio, async/await) and concurrency patterns in Python
• Strong understanding of authentication, authorization, and security best practices
• Excellent communication skills with the ability to align technical and non-technical stakeholders

Nice to have   

• Experience with AI/ML integration, vector databases (Pinecone, Weaviate, pgvector), or recommendation systems
• Experience with NoSQL or non-relational databases (MongoDB, DynamoDB, Cassandra, or similar)
• Hands-on experience with or close collaboration with teams building client applications (React, React Native, Flutter, Next.js, or similar web/mobile frameworks)
• Experience with real-time systems (WebSockets, live streaming, push notifications)
• Background in marketplace, e-commerce, or content-driven platform engineering
• Experience with multi-language/localization systems
• Exposure to tax/VAT compliance logic or fintech-adjacent workflows
• Experience scaling teams and processes during rapid growth phases
   

What you’ll get at Syndicode

• 15 days of vacation, 11 days off for holidays, and 20 sick leave days per year
• Fully remote job
• Educational support
• Internal tech meetups
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world and market changes.

ROLE

Property Leads is a fast-growing startup building cutting-edge lead generation and data solutions for the real estate industry. We're a lean, high-impact team of 16, solving complex problems at the intersection of technology, data, and growth.
 

We’re looking for a Senior Software Engineer to take ownership of challenging projects, contribute to our technical direction, and stay deeply engaged with the code. This role is hands-on and impactful — ideal for someone who thrives in fast-paced environments, enjoys solving complex technical problems, and wants to directly influence the growth of a product and company.
 

You’ll work closely with the engineering and product teams to scale our technology, improve systems reliability, and help shape the next chapter of our platform.

RESPONSIBILITIES

• Design, build, and maintain critical systems that support scalability, performance, and reliability.
• Collaborate with product, design, and business teams to translate requirements into technical solutions.
• Contribute to architecture discussions and advocate for best practices in engineering.
• Take ownership of projects from planning through production, ensuring quality and performance.
• Dive into the codebase, especially for high-impact systems (distributed systems, high-throughput APIs, data pipelines).
• Proactively identify areas for improvement and introduce tools, workflows, or frameworks that increase development speed and reliability.
  
   

REQUIREMENTS

• 3+ years of experience in software engineering, with demonstrated success delivering complex projects.
• Strong expertise in distributed systems, backend APIs, and cloud infrastructure.
• Proficiency in Python, AWS Lambda, MongoDB, and familiarity with ML/AI concepts.
• Solid architectural skills and ability to make pragmatic design tradeoffs.
• Track record of working effectively in fast-paced, ambiguous environments.
• Strong communication and collaboration skills, with empathy for cross-team needs.
• Highly motivated, detail-oriented, and comfortable owning projects end to end.
  
   

RESULTS

In your first 6–12 months, success looks like:

• Improved performance, reliability, and scalability of core systems
• Shipped major features that unlock growth and operational efficiency for sales and marketing.
• Reduced errors and downtime in production through thoughtful engineering practices.
• Helped elevate engineering standards across testing, deployment, and code quality.
• Built strong relationships with product and business teams to align technical work with company goals.

We are looking for experienced Lead Python Engineer to join our team.

About the project:

The project is dedicated to building an AI-driven solution for transforming paper documents (tax services domain) into a digital form using Microsoft’s IDP service.

Responsibilities:
● Build robust and scalable software using Python
● Design and implement low-latency, high-availability, and performant applications
● Refactor and review code
● Lead the development team in their everyday activities
● Design tests for automated build and test pipelines
● Solve complex performance problems and architectural challenges
● Work closely with stakeholders on the architecture of the application and requirements clarification
● Collaborate with the product and design teams to understand end-user requirements, formulate use cases, and translate them into a pragmatic and effective technical solution

Requirements:
● 6+ years of commercial experience with Python development
● Deep understanding of software engineering best practices
● Solid knowledge of FastAPI, SqlAlchemy, Pydantic, Poetry, asyncio, Azure SDK, DIContainers
● Familiarity and preferably expertise with Azure: AKS, Message Bus, Azure Functions
● Clear understanding of Agile/Scrum methodology
● Upper-Intermediate level of English

Nice to have:
• Experience with Document intelligence
• Experience with AI OCR capabilities (Deepseek OCR)
• Experience with prompt optimization

Our family-style team is looking for a Senior Backend Engineer to help build and evolve the core of a cybersecurity product. You’ll work on scalable backend systems, lead impactful refactoring across microservices, and make thoughtful architectural decisions with cost efficiency in mind. This role is about ownership, clarity, and long-term technical impact.

About the Role
Our client is a growing Israeli cybersecurity startup looking for an experienced Senior Backend Engineer (with strong DevOps background) to play a key role in shaping its backend architecture.
 

You’ll work primarily with Python and also with Node.js (TypeScript), combining deep backend expertise with solid DevOps experience. Success in this role means deeply understanding system workflows, collaborating across teams, and independently driving improvements that raise the overall engineering quality.

What you’ll do:

• Work closely with engineers, Team Leads, and C-level stakeholders in a highly collaborative, Agile environment
• Take strong ownership of backend systems and mentor other developers
• Build and evolve Python and Node.js (TypeScript) microservices, delivering new features while driving meaningful cloud cost optimization
• Own production systems end to end: monitoring, debugging, performance tuning, and incident handling
• Design and evolve backend architectures with a thoughtful balance of scalability, performance, cost, and long-term maintainability

• Partner with DevOps to continuously improve infrastructure, workflows, and system reliability.

   

What We’re Looking For:

• Strong, hands-on Python experience (must-have, high priority) - building scalable backend systems and APIs
• Solid experience with Node.js (TypeScript)
• Solid understanding of software architecture and distributed systems
• Hands-on with databases and storage: PostgreSQL, MongoDB, Redis, AWS S3, Athena, Kafka, SQS/SNS
• Skilled in testing (unit, integration, e2e) and production-grade DevOps: AWS, Docker, Kubernetes, CI/CD pipelines

• Collaborative, high ownership, and able to mentor other developers while working across teams.

   

Will be a plus:

• Experience with Dagster or similar data orchestration platforms is a plus.

   

Working Style:

• Highly collaborative, working closely with engineers, leads, and stakeholders
• Ticket-based workflow using Shortcut to keep projects organized and transparent
• Startup experience is essential, with the ability to thrive in a fast-paced, dynamic environment

• Take full ownership of features from design to production, ensuring quality and impact.

   

What we offer:

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Remote work, full time

• Becoming not just another team member, but a part of UKAD with unique value and long-term relationships.

   

Some facts about UKAD to help you make a decision:
During 2022-2025, we only increased cooperation with our foreign partners
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

Join Preply’s Teams and help us power people’s progress through life-changing learning experiences. We’re on a mission to combine the magic of the best tutors with cutting-edge AI to create personalized journeys that keep learners motivated and inspired. Together, we’ll transform how students expand their vocabulary, master conversational fluency, and deepen comprehension - unlocking their full potential and sparking a lifelong love for learning. Are you ready to make an impact? Let’s redefine education!

The Preply Engineering Team provides the tools to help unlock human potential through learning.

We implement A/B tests to prove the value of our initiatives and improve our product based on data and students and tutors feedback. As part of our commitment to ensuring high-quality products, we prioritize monitoring and metrics analysis to identify areas for optimization and ensure our services are performing at their best.

We are tech-agnostic, meaning we are open to considering candidates with diverse technology backgrounds, such as Java/Spring, Node.js/Express.js, Ruby/Ruby on Rails, Scala/Play, PHP, or Golang.

While Python is our primary programming language, prior experience with it is not mandatory. What truly matters is your enthusiasm for learning Python and your ability to adapt quickly to using it for product development.

At Preply, we release our product 50-60 times per day by leveraging top-notch CI/CD processes. As a fast-growing company we have diverse technical challenges (sometimes we even write about them on our Engineering Blog) that will allow you to develop your skills at scale.

What You’ll Be Doing

You will work in a cross-functional team alongside the Product Manager, Product Designer, UX Writers, Data Analytics, Technical Leads, Engineers and other cross-functional team members to deliver engaging features through A/B tests and build top-notch products, including, but not limited to:
 

• Develop and own backend features using Python/Django, supporting the creation of new backend services as well as design, create, and/or troubleshoot integrations with third-party vendors.
• Think beyond the code and about our customers, understand their needs and define solutions with the team;
• Balance short-term speed of development with the long-term technical quality of our systems;
• As a Senior Engineer, you will leverage your experience to guide the team in making informed technical decisions, such as continuous improvement of best practices (test culture, code reviews, monitoring and scalability of our tools). 
   

What You Need To Succeed
 

• Exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms);
• Familiar and willing to support small JS/TS tasks when needed;
• Expertise in troubleshooting issues, identifying the root cause, mitigating it, and adding setting up safeguards to prevent future issues;
• High level of self-organization, ownership, and responsibility;
• A great collaborator with excellent verbal and written communication skills. Minimum B2 English level;
• Willingness to be on-call for your squad (1 week every 5 weeks).
   

Why you’ll love it at Preply
 

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
• A competitive financial package with equity and leave allowance;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
   

Our Principles
 

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
   

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status

About the Product & Team

The primary objective is to mirror an external candidate database into internal infrastructure to remove external API bottlenecks and provide a centralised data layer for downstream AI workflows.

• The Build: Focuses on continuous synchronisation, database replication, and high-volume data ingestion.
• Team Structure: Engineers will work directly with the Head of AI & Technology, a Technical Product Owner, and the existing backend and DevOps teams.
• Lead Expectations: The Lead Engineer is expected to take technical ownership of the workstream, driving architecture and partnering with leadership to unblock teams.

Responsibilities

• Platform Engineering: Build and maintain a custom API using Python and design services for large-scale data ingestion and replication.
• Cloud-Native Delivery: Deploy containerised services via Docker and Kubernetes while integrating AWS services (S3, API Gateway, Lambda, SQS).
• System Architecture: Implement event-driven patterns using queues and asynchronous processing.
• Quality & Reliability: Implement automated testing (unit, integration, performance) and ensure robust monitoring, logging, and failure recovery patterns.
• Collaboration: Work within agile ceremonies and align closely with DevOps on infrastructure and release processes.

Requirements

Technical Experience

• Core Stack: Advanced proficiency in Python and strong API design experience.
• Cloud & Infrastructure: Mandatory AWS experience alongside Kubernetes and Docker.
• Systems Design: Experience with distributed systems, high-throughput services, and messaging/queue-based architectures. 
• Preferred Skills: Experience with data replication or ETL-style pipelines and schema design/evolution.
• Typically 8+ years of experience; proven technical ownership of platform initiatives with the ability to set direction and drive architecture.

Business & Soft Skills

• Market Experience: Background in B2B SaaS platforms, data-intensive products, or AI-enabled environments.
• Mindset: Ownership mentality with clear technical communication and the ability to operate effectively with partial requirements.
•  

Assessment Process

1. Stage 1: CV Review.

2. Stage 2: Screening Interview (30 mins).

3. Stage 3: Technical Assessment (1 hour) including pair-programming.

4. Stage 4: Interview with the Head of AI & Technology.

Target Start Date: Immediate.

Engagement Length: 6 months (3 months on custom API build + 3 months integrated into the core team).

What We Offer:

• Full remote with flexible business hours;
• Three weeks of vacation per year (15 working days);
• Paid sick leave per year (5 working days);
• Amazing opportunities for professional growth within a top-notch team of professionals;
• Competitive compensation commensurate with your experience and skills;
• English lessons;
• Co-working compensation;
• An excellent team with a friendly atmosphere.

About the Product & Team

The primary objective is to mirror an external candidate database into internal infrastructure to remove external API bottlenecks and provide a centralised data layer for downstream AI workflows.

• The Build: Focuses on continuous synchronisation, database replication, and high-volume data ingestion.
• Team Structure: Engineers will work directly with the Head of AI & Technology, a Technical Product Owner, and the existing backend and DevOps teams.
• Lead Expectations: The Lead Engineer is expected to take technical ownership of the workstream, driving architecture and partnering with leadership to unblock teams.

Responsibilities

• Platform Engineering: Build and maintain a custom API using Python and design services for large-scale data ingestion and replication.
• Cloud-Native Delivery: Deploy containerised services via Docker and Kubernetes while integrating AWS services (S3, API Gateway, Lambda, SQS).
• System Architecture: Implement event-driven patterns using queues and asynchronous processing.
• Quality & Reliability: Implement automated testing (unit, integration, performance) and ensure robust monitoring, logging, and failure recovery patterns.
• Collaboration: Work within agile ceremonies and align closely with DevOps on infrastructure and release processes.

Requirements

Technical Experience

• Core Stack: Advanced proficiency in Python and strong API design experience.
• Cloud & Infrastructure: Mandatory AWS experience alongside Kubernetes and Docker.
• Systems Design: Experience with distributed systems, high-throughput services, and messaging/queue-based architectures. 
• Preferred Skills: Experience with data replication or ETL-style pipelines and schema design/evolution.
• Typically 5+ years of experience; strong individual contributors

comfortable owning services end-to-end.

Business & Soft Skills

• Market Experience: Background in B2B SaaS platforms, data-intensive products, or AI-enabled environments.
• Mindset: Ownership mentality with clear technical communication and the ability to operate effectively with partial requirements.

Assessment Process

1. Stage 1: CV Review.

2. Stage 2: Screening Interview (30 mins).

3. Stage 3: Technical Assessment (1 hour) including pair-programming.

4. Stage 4: Interview with the Head of AI & Technology.

Target Start Date: Immediate.

Engagement Length: 6 months (3 months on custom API build + 3 months integrated into the core team).

What We Offer

• Full remote with flexible business hours;
• Three weeks of vacation per year (15 working days);
• Paid sick leave per year (5 working days);
• Amazing opportunities for professional growth within a top-notch team of professionals;
• Competitive compensation commensurate with your experience and skills;
• English lessons;
• Co-working compensation;
• An excellent team with a friendly atmosphere.

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects, and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed.

We believe that our people and culture contribute to Syndicode’s continuous success. Shared principles, including Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, and Flexibility, unify our team. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and can analyze various sources to make sound and timely decisions.

We welcome experienced, passionate engineers to apply to join our growing team at Syndicode.

About the role

As a Python Engineer at Syndicode, you will design and develop scalable, secure backend services that power our mobile applications. You’ll build and maintain RESTful/GraphQL APIs, implement business logic, manage database architecture, and ensure high performance, reliability, and data integrity.

Working closely with mobile developers, QA, and product teams, you’ll contribute to backend architecture decisions, optimize system performance, and support seamless integration between mobile clients and cloud-based infrastructure.

What you’ll be doing

• Design and build scalable backend services and RESTful APIs using Python (FastAPI/Django)
• Architect and maintain modular, service-oriented backend systems supporting high-traffic workloads
• Integrate third-party services (payment providers, messaging platforms, cloud infrastructure)
• Build and optimize data pipelines and integration points for AI/ML-powered personalization and recommendation systems
• Work with PostgreSQL and vector databases to model complex relational and unstructured data
• Implement real-time features, including notifications and live event handling (WebSockets, pub/sub)
• Collaborate with frontend and mobile engineers to define clean, well-documented API contracts
• Set up and maintain CI/CD pipelines, infrastructure-as-code, and environment management
• Write and maintain comprehensive tests (unit, integration, end-to-end) to ensure code quality and system reliability
• Ensure platform security, GDPR compliance, role-based access control, and audit logging
• Mentor junior engineers and contribute to architectural decisions and code review culture

What You’ll Need:

• 5+ years of professional Python development experience
• Strong experience building production APIs with FastAPI, Django, or Flask
• Solid understanding of relational databases (PostgreSQL), query optimization, and data modeling
• Experience with cloud platforms (AWS or GCP) and containerized deployments (Docker, Kubernetes)
• Familiarity with event-driven architectures, message queues (Redis, RabbitMQ, or Kafka)
• Strong understanding of asynchronous programming (asyncio, async/await) and concurrency patterns in Python
• Experience integrating third-party APIs (payments, logistics, messaging)
• Proven experience with testing frameworks (pytest, unittest) and a test-driven or test-first development mindset
• Working knowledge of CI/CD tooling and infrastructure-as-code (Terraform, CloudFormation)
• Strong understanding of authentication, authorization, and security best practices
• Ability to work in cross-functional teams in a fast-paced, early-stage environment
• Excellent communication and documentation skills

Nice to Have:

• Experience with AI/ML integration, vector databases (Pinecone, Weaviate, pgvector), or recommendation systems
• Experience with NoSQL or non-relational databases (MongoDB, DynamoDB, Cassandra, or similar)
• Experience with real-time systems (WebSockets, live streaming infrastructure)
• Familiarity with React Native or Flutter backend requirements for mobile-first products
• Experience with multi-language/localization systems
• Exposure to tax/VAT compliance logic or fintech-adjacent workflows
• Experience with load testing, performance profiling, or automated QA pipelines
• Contributions to open-source projects or a visible engineering blog/portfolio

What you’ll get at Syndicode

• 15 vacation days, 11 public holidays, and 20 sick leave days per year
• Hybrid work model (2–3 days in our Kyiv office per week)
• Educational reimbursement and internal knowledge-sharing sessions
• Collaborative team environment with regular feedback
• Flexibility in planning your schedule and work tasks
• An opportunity to influence product decisions and propose improvements

ABOUT THE ROLE

In Stellantis, we build production-grade software and AI enablers for Stellantis enterprise. The development focuses on delivering robust AI features that would mundane manual work. 

We are looking for an MLOps Engineer who will work with Production-grade AI Solutions (LLMs), the cloud infrastructure (python, AWS), and collaborate with a wide range of AI Engineers. You will work closely with AI Engineers to deliver AI solutions to a production/RnD environment and have the opportunity to work in many different AI domains. 

Key Responsibilities:

• Implement Engineering Pipeline and maintain AI-based solutions for the Stellantis Ukraine
• Implement ETL (Extract-Transform-Load) pipeline on AWS for production AI Usage
• Contribute to a production-grade AWS Infrastructure platform for AI Projects
• Collaborate with AI Engineers to product robust and scalable AI Solutions
• Participate in code reviews, refinements, and sprint plannings. 
• Be responsible for monitoring, alerting and visibility for AI Solutions

ABOUT YOU

Qualifications and Experience:

• At least three years of working experience in Python or Java development
• Experience with AWS (at least Cloud Practitioner certification would be a benefit)
• Experience with Terraform
• Experience working with AI Pipelines, in turns of infrastructure, monitoring, maintance
• Experience with Containerization (Docker)
• Experience setting up CI/CD pipelines for AI projects

Would be a plus:

• Knowledge and experience of robust AI Monitoring tools (Prometheus, Grafana, Comet Opik or others)
• Experience with GenAI (LLM)
• Experience with AI frameworks and tools (LangChain, LangGraph, RAG)
• Experience working with Serverless 
• Advanced experience with LLMOps / MLOPS: Model drift detection, Performance degradation, LLM-as-a-judge testing

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

Full-time
Remote
Very strong English skills is a must — about C1 level 🇬🇧

We are looking for a Senior Python Engineer — Data Platform expert to join a European company that works on cutting-edge Regulatory Technology (RegTech) solutions, providing independent regulatory intelligence for highly regulated industries.

Our client develops advanced data-driven platforms that help global brands stay ahead of regulatory change, mitigate risk, and unlock new opportunities.

About the Role

This is a systems engineering position, not an AI research role. The successful candidate will design, build, and own production-grade data ingestion and enrichment systems that power regulatory intelligence workflows across the platform.

You will take ownership of Python services responsible for regulatory data ingestion, transformation, enrichment, and internal operational tooling. The role requires strong engineering discipline with a focus on reliability, structure, security, and operational impact.

Key Responsibilities:

Architect and build Python services and ETL pipelines

Design data transformation layers from raw source to structured output

Implement schema validation and data integrity checks

Integrate LLM services with proper retry, monitoring and guardrails

Build APIs that expose structured data to Drupal and Node applications

Improve determinism and predictability of enrichment workflows

Optimise performance, throughput and cost

Contribute to internal tools that improve operational efficiency

Contribute to integration layers within Drupal where necessary

Apply secure coding practices aligned to our ISO 27001 controls

Use AI tools effectively in your own engineering workflow to accelerate delivery and improve code quality
 

💡What You’ll Bring (required skills):

Technical Skills

• Strong Python experience building production systems
• Experience designing ETL or data processing pipelines
• Strong understanding of data modelling and schema design
• Experience integrating external APIs
• Familiarity with LLM based systems
• Experience working with relational databases
• Experience exposing or consuming REST APIs
• FastAPI or similar async Python api framework
• Pydantic or equivalent schema validation
• AWS deployment experience
• Testing discipline for data heavy systems
• Understanding of secure coding principles and cloud security fundamentals

AI Capability and Leadership

• Comfortable using AI tools to accelerate design, debugging and refactoring
• Able to prompt effectively and critically evaluate AI generated code or analysis
• Understands the limitations, non determinism and failure modes of LLM systems
• Able to design guardrails, validation layers and fallback strategies
• Treats AI as part of a system, not an oracle
• Willing to share best practice and act as a responsible advocate for AI usage across engineering

Engineering Mindset

• Thinks in systems and data flows
• Values reliability, observability and security
• Pragmatic about AI, focused on structure and validation
• Comfortable working across boundaries between data and application layers
• Writes clean, maintainable and well tested code
• Comfortable owning services long term
• Uses AI to enhance productivity without compromising standards
   

This is a challenging but exciting opportunity for a strong engineer. If this sounds like you, apply now and let’s start the conversation!

Hi there,

We are looking for a Senior Full-Stack Engineer (Python + React/Next.js) with AI experience to join our team!
 

You’ll be joining an international consulting company that helps enterprises modernise their systems through cloud technologies, data platforms, and artificial intelligence.

Requirements:

• Strong proficiency in full-stack development
• 7+ years of experience with Python
• 3+ years of experience with React, TypeScript and Next.js 
• Proven experience writing application code for AWS
• Familiarity with AWS Containers
• Experience with cloud-native architectures
• Experience with GenAI integration

• Background in data-heavy or AI-related projects

   

Responsibilities:

• Build and maintain scalable web applications running on AWS
• Design serverless workflows and backend services
• Develop fast, user-friendly interfaces with React and Next.js
• Ensure secure authentication and authorisation across applications

• Work closely with AI/ML engineers to embed intelligent functionality into products

   

What we offer:

• Flexible Work Environment: Opportunity to work fully remotely.
• 1:1 English Classes: Individual English language lessons to improve communication skills.
• Great Team: Supportive, collaborative, and dynamic international team culture.
• Equipment Provided: All necessary equipment supplied for efficient and comfortable work.
• Paid Time Off: 18 days of paid annual vacation and 7 paid sick leave days.
• Public Holidays: Ukrainian public holidays are preserved.
• Commitment to Hiring Ukrainians: We are dedicated to hiring Ukrainian talent and promoting Ukraine as a great place to work.
• Flexible Payment System: Multiple convenient payment options with easy fund withdrawal.

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models
and transforming massive volumes of raw imagery into meaningful, structured insights that
power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you.

Key Responsibilities:
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for
collecting, cleaning, transforming, and loading large volumes of geospatial data.
● API Development & Deployment: Design, build, and maintain high-speed, scalable
RESTful APIs (using frameworks like FastAPI/Powertools for Lambda).
● Model Integration & Productionization: Work closely with Data Scientists to containerize
and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform.
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code.
Optimize data processing and platform latency to handle requests and queries at
massive scale and high volume.
● System Architecture: Contribute to the design and implementation of our Microservices
and Serverless architectures, ensuring high availability, security, scalability and
observability.
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and
Product Managers to translate business requirements into technical solutions.

Required Qualifications:
● B.Sc. degree in Computer Science or a related technical field.
● Demonstrable professional experience as a Python Developer with a focus on data-
intensive backend systems (4+ years).
● Expert knowledge of Python 3, follow PEP8.
● Hands-on experience with C# / .NET for backend development (APIs or services in
production).
● Experience developing using OOP and SOLID principles.
● Proven experience designing and developing production-ready APIs using a modern
Python web framework such as FastAPI or Powertools for AWS Lambda.
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB,
CloudFormation/SAM using boto3.
● Experience with Docker/Kubernetes.
● Experience with Linux, preferably Ubuntu.
● Experience with SQL Databases (e.g. PostgreSQL)
● Experience with version control (Git) and collaborative development workflows.
● Good communication skills in English

Preferred/Bonus Qualifications:
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio).
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server.
● Experience with Workflow Management platforms such as Apache Airflow.
● Experience with on-prem servers.
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices.

What Do We Do?

Madgicx is transforming how eCommerce brands scale their digital advertising through AI-powered automation and intelligent optimization. Our platform empowers thousands of brands to make smarter marketing decisions, automate complex workflows, and achieve unprecedented ROAS. We’re building the future of autonomous advertising, where AI and human creativity combine to unlock exponential growth.

Why Madgicx Needs You

As a Backend Engineer at Madgicx, you are responsible for building and maintaining the core APIs and services that power our AI-driven advertising platform. You will design resilient, high-performance backend systems that handle millions of advertising operations daily, integrate with multiple advertising platforms, and serve as the foundation for our AI agent ecosystem.

This is a hands-on engineering role where you’ll ship production code daily, collaborate closely with AI/ML teams, and directly impact thousands of brands’ advertising performance.

What You’ll Own

1. Core API Development

• Build and maintain RESTful APIs serving web, mobile, and AI agent clients
• Design database schemas and optimize query performance for high-traffic endpoints
• Implement authentication, authorization, and rate limiting for secure API access
• Write comprehensive tests (unit, integration, E2E) ensuring code quality and reliability

2. Service Integration & Data Pipelines

• Integrate with advertising platform APIs (Meta Marketing API, Google Ads API, TikTok Ads)
• Build data ingestion pipelines processing campaign metrics, creative performance, and audience insights
• Handle webhook processing, event streaming, and asynchronous job processing
• Implement retry logic, circuit breakers, and graceful degradation for external service failures

3. AI-Ready Infrastructure

• Build backend services that support AI agent workflows and LLM integrations
• Design APIs that enable AI agents to query data, execute actions, and receive feedback
• Implement observability hooks (tracing, logging, metrics) for AI system monitoring
• Collaborate with Data Science teams to productionize ML models and predictions

4. Performance & Scalability

• Optimize API response times (P95 <500ms) and database query performance
• Implement caching strategies (Redis, CDN) for high-traffic endpoints
• Design for horizontal scalability using containerization and orchestration
• Monitor system health, troubleshoot production issues, and participate in on-call rotation

5. Code Quality & Collaboration

• Write clean, well-documented, and maintainable Python code following team standards
• Conduct thorough code reviews providing constructive feedback to peers
• Participate in pair programming sessions and knowledge-sharing activities
• Contribute to technical documentation, runbooks, and architectural decision records

What You’ll Bring

Required

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of production backend development with demonstrable impact on system reliability and performance
• Python expertise: Strong proficiency in Python web frameworks (FastAPI, Flask, Django) and async programming
• API design: Experience building RESTful APIs with proper versioning, error handling, and documentation (OpenAPI/Swagger)
• Database proficiency: SQL expertise (PostgreSQL, MySQL) including schema design, indexing, and query optimization
• Cloud infrastructure: Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure
• GenAI & Agentic Framework familiarity: Practical experience using GenAI tools (GitHub Copilot, ChatGPT, Claude) for development, understanding of LLM capabilities/limitations, worked on setting up agentic toolings such as RAG, Guardrails, Feedback loops, planning, MCP’s and orchestration tools etc...
• Containerization: Production experience with Docker and Kubernetes for service deployment

Non-Negotiable Technical Skills

Backend Core
Python Web Frameworks (FastAPI, Flask, or Django with async capabilities), SQL Database Design (PostgreSQL schema design, indexing strategies, query optimization), and API Architecture (RESTful design, authentication/authorization, rate limiting, error handling)

Cloud & Infrastructure
Google Cloud Platform (Compute Engine, Cloud Run, Cloud SQL, Pub/Sub, Secret Manager, IAM), Container Orchestration (Docker containerization, Kubernetes deployments, service configuration), and Infrastructure as Code (Terraform or equivalent for reproducible deployments)

Integration & Data
Third-Party API Integration (OAuth flows, webhook processing, rate limit handling, retry logic), Message Queuing (Pub/Sub, RabbitMQ, or Kafka for async processing), and Caching Strategies (Redis for session management, query results, and rate limiting)

GenAI & Observability
GenAI Tool Proficiency (Active use of GitHub Copilot, ChatGPT, or Claude for code generation, debugging, and documentation), LLM Integration Basics (Understanding of API usage, token management, prompt engineering, etc... ), and Observability (Structured logging, distributed tracing, metrics collection, and alerting)

Our Operating Principles

• Ship Code, Not Slides: We measure success by features in production, not meeting decks
• Engineering Excellence: Clean code, tested systems, thorough documentation, and scalable architectures
• Speed to Production: From feature branch to deployment in days, not weeks

• Data-Driven Decisions: We trust metrics, experiments, and user feedback over opinions

   

Continuous Learning: Every production incident and performance issue teaches us something new

What Success Looks Like (First 12 Months)

• Shipping velocity: Consistently deliver features from design to production within sprint cycles
• System reliability: Maintain <0.1% API error rate and P95 response times under target SLAs
• Code quality: Your PRs require minimal revisions and serve as examples for junior engineers
• AI readiness: Backend services seamlessly support AI agent integrations and ML model deployments
• Team impact: Improve developer productivity through better tooling, documentation, or architectural patterns

What’s In It For You

• Impact: Your APIs power advertising decisions affecting billions in ad spend across thousands of brands
• Technical Growth: Work with cutting-edge AI/ML systems, high-traffic APIs, and modern cloud infrastructure
• Ownership: Full responsibility for services from design through production operation
• Learning Budget: Conferences, courses, certifications, and dedicated learning time
• Compensation: Competitive salary, equity, performance bonuses, and comprehensive benefits
• Flexibility: Remote-first culture with flexible hours and work-life balance

Ready to Build the Future of Advertising AI? If you’re excited by the challenge of building ML systems that generate millions in revenue, we want to talk. Send us your GitHub, examples of production platforms you’ve built, and evidence of business impact you’ve driven. Show us why you’re the engineer who will help us revolutionize advertising through AI.

Are you passionate and curious about server architecture?

Bizzabo is looking for a Senior Backend Engineer in Ukraine to join our fantastic engineering team.

Our server architecture is based on Java 8 and Python microservices. We are using the Spring Boot framework for our Java services with ElasticSearch, Redis, Temporal, and many other buzzwords as part of our ecosystem :) 

We are advocates for cutting-edge technology. We are looking for someone to join our team that is in charge of a product that connects Software and Hardware and real-time communication with an extremely interesting and lucrative product offering. 

WHAT YOU’LL BE DOING

• Be dedicated to product quality and have excellent analytical and problem-solving skills
• Continuously design, develop, and deploy backend services
• Focus on high availability, low latency, and scalability
• Contribute your analytical abilities
• Enthusiastically research new methods for doing things
• Provide solutions to challenging problems

WHAT YOU HAVE

• 5+ years of development experience using Python
• Working with databases 
• Built a microservices architecture for large-scale applications
• Have a deep understanding of security risks
• Working with AWS infrastructure: EC2, S3, RDS, SQS, etc.
• Computer science degree from a leading institute

 WHAT WOULD BE A BONUS

• Familiarity with Kotlin
• Experience with Kubernetes
• Experience with TDD or a testing culture

YOUR JOURNEY

✅ Prescreen with recruiter → ✅ Complete assignment → ✅ Technical interview → ✅ Interview with manager → ✅ Reference check → ✅ Job offer