Jobs Python

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.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and role:
We are looking for a Python Engineer to join our client’s team. It is a defense tech company building a real-time battlefield monitoring platform designed to enhance situational awareness and operational decision-making.

Responsibilities:
- Design and develop high-throughput, low-latency Python services for real-time and streaming applications
- ⁠Apply clean architecture and API design principles for maintainable, long-lived systems
- Build and operate event-driven architectures
- ⁠⁠Optimize Python applications for performance and scalability
- ⁠⁠Design robust data ingestion and stream-processing pipelines handling large volumes of events in real time
- Integrate with analytical and time-series data stores (e.g., ClickHouse, Apache Druid)
- ⁠⁠Ensure system reliability and correctness through strong testing practices, monitoring, and alerting
- Collaborate closely with DevOps and platform teams to deploy, scale, and operate services in Kubernetes environments 

Requirements:
- Strong proficiency in Python with a deep understanding of OOP (Object-Oriented Programming) principles.
- Hands-on experience with FastAPI or Flask for building scalable backend services.
- Practical knowledge of threading and asynchronous programming to handle high-performance tasks.
- Commitment to code quality through comprehensive testing using pytest.
- Proficiency in PostgreSQL (query optimization, schema design).
- Experience with Kafka for building event-driven architectures.
- Solid understanding of Linux environments and CI/CD pipelines for automated deployments.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

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?

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $100,000 – $175,000 USD
• Equity: $75,000+ USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

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

About the Product

We are developing an AI-powered performance optimization platform for online casinos and sportsbooks. The solution helps operators improve key business metrics by increasing player engagement and loyalty through personalized recommendations and predictive analytics.

The platform collects and processes player behavior data across multiple systems, builds detailed user profiles, and generates actionable insights, including:

• identifying players who misuse bonus programs without long-term retention
• detecting patterns of risky or excessive gaming to support responsible play
• recommending relevant games and activities based on user preferences and behavioral history

You will join a team building scalable recommendation systems, working with large volumes of data, and implementing ML-driven personalization to enhance user experience within iGaming products.

Requirements

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

Nice to Have

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

Responsibilities

• Design and develop scalable backend services for AI-powered recommendation systems
• Collaborate with data scientists and ML engineers to deploy models into production
• Optimize data storage, processing, and retrieval for large-scale user datasets
• Ensure system reliability, performance, and scalability
• Take part in architectural discussions, code reviews, and mentoring
• Contribute to new features aimed at increasing 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.

Join our outstanding journey!

At the company, we were founded with a clear conviction: to break away from the sea of sameness and build slot games that are innovative, entertaining, and easy to understand. Backed by experienced industry experts and strong investment, we are a fast-growing studio where creativity, collaboration, and technical excellence come together.

If you’re passionate about game development, enjoy solving complex technical challenges, and want to play a key role in shaping cutting-edge casino platforms, we’d love for you to join us on our journey. This role offers the flexibility to work remotely or from our office in Malta, where you can enjoy our full range of local perks and relocation support.

Your day-to-day will include:

·      Designing, developing, and maintaining game engine programming

·      Collaborating with the Mathematics team and external partners to bring new game concepts to life

·      Supporting partners with game integrations, both internal and external

·      Enhancing and upgrading the engine framework to improve testing and ensure compatibility with new features

·      Programming casino wallet interfaces and integrating new casinos into the LeGa platform

·      Monitoring and maintaining platform stability by reviewing logs, databases, and environment

·      Working across teams to ensure smooth deployments and reliable integrations

How you’ll collaborate:

·      Externally: Game partners, casinos, and third-party companies

·      Internally: Close collaboration with all RAW teams, especially Mathematics and Client Development

Technology stack
The role is currently limited to Python, Linux and PostgreSQL. Games are built in Python (both Python 2.7 and Python 3 are required). Docker is also used.
There is no use of Unity, Unreal Engine or C#.
The platform is currently hosted on AWS, with an ongoing migration to Oracle Cloud, although cloud expertise is not particularly relevant for this position.

Must-have skills
Strong Python knowledge (2.7 and 3)
Backend development experience
Linux environment experience
PostgreSQL

Nice-to-have skills
Docker
Experience in iGaming or other rule-based / real-time systems
Experience working with complex logic systems

Other information

• 25 days paid vacation days
• paid public holidays
• Private health insurance (for candidates residing in Ukraine)
• Additional marriage leave
• Additional paternity leave
• 5 days of paid sick leave
• Professional development support
• Department team building activities
• HR support

Apply today and help us shape the future of iGaming at the Company.

Who we are looking for

We are seeking a talented Middle Python Developer with expertise in Generative AI and Agentic AI to join our innovative team. You will work with cutting-edge large language models and AI infrastructure to build solutions that transform our clients' businesses.
 

Required Skills:

• Strong Python programming experience with AI frameworks like LangGraph
• Hands-on experience with Large Language Models (OpenAI, Anthropic, Google Gemini)
• Knowledge of Vector Stores and their application in AI workflows
• Experience with GCP and integrating AI models with APIs and cloud platforms
• Familiarity with CI/CD practices
• Excellent English communication skills and ability to work in cross-cultural teams
   

Nice to have:

• Experience in AI-driven startups or technology companies
• Knowledge of Azure or AWS
• Familiarity with RAG concepts and implementation
   

Your future role:

As a Middle Python Developer, you will be at the forefront of AI innovation, working with advanced technologies and international teams to deliver impactful solutions.
 

Your responsibilities:

• Develop and maintain Python applications focused on Generative AI and Agentic AI
• Work with large language models (OpenAI, Anthropic, Google Gemini) to build innovative AI solutions
• Integrate AI models with various APIs and cloud platforms
• Collaborate with cross-functional teams to deliver robust AI solutions
• Participate actively in team discussions and contribute to project success
   

What we offer:

• Develop and maintain efficient, scalable, and clean Python code
• Design and implement new features to meet client needs
• Optimize application performance and ensure smooth functionality
• Identify and troubleshoot issues, addressing bottlenecks in the codebase
• Collaborate with cross-functional teams throughout the development lifecycle
• Maintain high standards for code quality and automation practices
• Continuously learn and adopt emerging technologies into development processes 
   

Selection process:

• Application and CV review
• Short call with recruiter
• Technical interview with tech expert and Delivery manager
• Final interview in English
• Offer and onboarding

Who we are looking for:
 

• 5+ years Python (complex backend & AI projects)
• Expertise in LangChain, LangGraph, AutoGen, CrewAI, or similar agentic AI frameworks
• Hands-on experience with LLMs (OpenAI, Anthropic Claude, Google Gemini), multi-agent systems, RAG architectures, vector databases (Pinecone, Weaviate, etc.)
• Proven delivery of production AI systems, CI/CD, cloud (AWS, Azure, GCP)
• Strong mentoring/leadership skills, excellent English (B2+)

Nice to have:
 

• MLOps/AgentOps (MLflow, LangFuse), async/distributed, Docker, Kubernetes
• Enterprise API integrations, open-source contributions
   

Your future role:
 

• Architect and develop enterprise-grade multi-agent AI solutions
• Technology selection, code & architecture review, standard setting
• Integrate LLMs, RAG, orchestration, and APIs
• Mentor team members, share knowledge, provide pre-sales technical expertise
• Present solutions to clients, optimize systems, and contribute to R&D
   

What we offer:
 

• Cutting-edge AI projects for top international clients
• Premium access to AI/ML tools and learning budget
• Flexible remote work, global and diverse team
• Health insurance, well-being support, transparent career track: Senior → Lead → Principal/Architect
   

Selection process:

• CV Review
• Screening call with recruiter
• Technical interview with Delivery manager
• Team fit/cultural interview
• Offer

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

Format: Full-time | Remote / Hybrid (EU-friendly)
Company: Dexis Development Ltd (outstaff / outsource)
Start: ASAP

About the role

We’re looking for a solid Middle Python developer with strong Flask experience to replace a current engineer on an ongoing project. You’ll take ownership of backend tasks, quickly onboard into an existing codebase, and help deliver a new product module/feature area (details will be shared during the interview stage).

Responsibilities

• Maintain and extend a Flask-based backend (REST APIs / services)
• Work with existing architecture and improve stability/performance
• Implement new features in a “new module” area of the product
• Write clean, testable code; participate in code reviews
• Collaborate with frontend/devops/product stakeholders

Requirements (must-have)

• 3+ years of commercial experience with Python
• Hands-on Flask (production experience, not just pet projects)
• Strong API development (REST), integrations, auth, error handling
• SQL databases (PostgreSQL/MySQL), writing efficient queries
• Git, CI/CD basics, understanding of deployment environments
• Ability to work with incomplete specs and clarify requirements

Nice to have

• FastAPI / Django experience
• Docker, Linux, basic cloud (AWS/GCP/Azure)
• Background jobs (Celery/RQ), Redis
• Tests: pytest, coverage mindset
• Microservices experience

What we offer

• Long-term project with stable workload
• Strong team communication and clear priorities
• Competitive rate (based on experience)
• Flexible schedule, remote-first collaboration

To apply: Send CV + short note with relevant Flask projects + your hourly/monthly rate.

We are looking for a Senior Backend Developer to join our Data Ops team. You will design, build, and maintain the backend systems that power our data pipelines, automation workflows, and internal tooling. This role blends deep Python expertise with cloud-native architecture, a pragmatic approach to automation, and a growing focus on integrating AI/ML capabilities into our platform. You will work closely with data engineers, front-end developers, and product stakeholders to ship reliable, scalable software.

Technology Stack

Python 3.11 — 3.14, AWS (Lambda, ECS, S3, Step Functions, CloudWatch),
Kubernetes, MongoDB, Redis, Apache Kafka, Pytest, GitHub Actions / Jenkins, Docker, SciPy, NumPy, pandas, scikit-learn, LLM APIs (OpenAI / Anthropic)


Responsibilities & Duties

— Architect and deliver efficient, well-documented, and highly readable backend services that set the quality bar for the team.
— Design and maintain automation pipelines (CI/CD, scheduled jobs, event-driven workflows) that reduce manual effort and improve reliability.
— Build lightweight internal dashboards, admin panels, or API-driven front-end components using frameworks such as React, Vue, or Streamlit to surface data and system health to stakeholders.
— Integrate AI/ML models and LLM-based features into backend services, including prompt engineering, embeddings pipelines, and retrieval-augmented generation (RAG) patterns.
— Dive into new technologies and product disciplines, driving innovation and staying current with the evolving AI and data engineering landscape.
— Define development plans based on project requirements and ensure timely delivery while remaining flexible to changing priorities.
— Oversee the stability of your services, monitoring system health, uptime, and performance post-release through observability tooling (CloudWatch, Datadog, or similar).
— Lead code reviews with peers, fostering a culture of continuous improvement, knowledge sharing, and engineering best practices.


Qualifications & Skills

Required
— 5+ years of hands-on Python development on large-scale, production systems.
— Strong experience with NoSQL databases (MongoDB preferred) and ability to design performant data models.
— Practical knowledge of AWS services and cloud-native design patterns.
— Experience building or maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code.
— Comfortable presenting ideas and technical details clearly to cross-functional teams.

Nice to Have
— Familiarity with front-end frameworks (React, Vue, or Streamlit) for building internal tools or dashboards.
— Hands-on experience with AI/ML workflows: training pipelines, model serving, or integrating LLM APIs.
— Knowledge of Kubernetes for container orchestration and scaling.
— Experience with event-driven architectures using Kafka or similar streaming platforms.
— Contributions to open-source projects or a visible engineering blog / portfolio.


What We Offer

— Working on great tech stack (app platform) with truly big data (processing 1TB every day)
— Product company with a long-term vision
— Project exposure and ownership that impacts our users, product, and business
— Medical insurance
— Sport benefit

You’ll build the intelligence and autonomy layers on top of a solid architecture: .NET 9 modular monolith + Python/FastAPI services on GCP (Pub/Sub, Cloud Tasks, BigQuery, Supabase/PostgreSQL) with live Meta Ads API and Shopify GraphQL integrations.
In the first 90 days you’ll deliver three defined sprints: Shopify attribution + benchmarks (Sprint 1), Creative Intelligence with embeddings + LLM fallback (Sprint 2), and an agentic loop with an Action API that executes approved Meta Ads actions (budget scaling, pause, deploy) with audit/audit trail (Sprint 3).

Product & Environment

We’re building a system with a modern stack and live integrations, where your decisions affect real ad accounts:

• C#/.NET 9 modular monolith, Python/FastAPI microservices, Next.js 16, Supabase/PostgreSQL, BigQuery, Google Cloud (Pub/Sub, Cloud Tasks, GCS)
• Integrations with Meta Ads API and Shopify GraphQL
• 20 repositories, ~95k LOC, event-driven pipeline

How We Work

Claude Code is not optional. We use AI as a force multiplier: we measure output, not hours. The code must work, tests must pass, and APIs must behave correctly.
The wrong candidate either refuses to use AI tools (“I prefer to write it myself”) or over-trusts them (“Claude Code wrote it so it must be correct”).

Responsibilities

• Build features in .NET (core API) and Python/FastAPI (pipeline / categorization / agent services)
• Integrate with Meta/Shopify and work on real budget/campaign changes
• Work with PostgreSQL: schemas, migrations, indexes, query optimization
• Strong testing culture: unit/integration/E2E where needed

Requirements (Non-negotiable)

• Production C# / .NET 8–9: EF Core migrations, DI patterns, middleware; able to read a modular monolith without “hand-holding”
• Experience with GraphQL resolvers (HotChocolate is a plus, but any GraphQL server is fine)
• Production Python / FastAPI: async/await, Pub/Sub message handling, gRPC; integrations with AI APIs (OpenAI/Anthropic, etc.)
• API integrations: integrated with at least two complex third-party APIs (Meta Ads / Google Ads / Shopify GraphQL / Stripe, etc.), including rate limiting, pagination, webhooks, versioning
• AI-augmented development: daily use of Claude Code / Cursor / Copilot (or similar) + understanding where they fail
• Testing discipline: tests are part of the process, not “later”

Strong Plus

• Ecommerce/DTC (Shopify, attribution, ROAS, NC vs returning customers)
• Experience with embeddings / cosine similarity / clustering / recommendations
• Event-driven architecture (Pub/Sub or Kafka), idempotency, DLQ, eventual consistency
• Hands-on GCP (Cloud Run, Cloud Tasks, Pub/Sub, BigQuery, GCS)
• Experience preparing a SaaS/agency for exit (focus on quality, documentation, system autonomy)

What You’ll Build (First 90 Days)

We have 3 detailed sprints — no ambiguity or fluff — with clear deliverables from Day 1.

Sprint 1 (Weeks 1–2): NC Attribution + Shopify Integration

• Customer/Order entities; NC classification (customer.numberOfOrders == 1)
• Channel attribution via Shopify customerJourneySummary + click ID parsing (fbclid/gclid/ttclid)
• EWMA benchmark fixes + unit tests; CM1/CM2/CM3 contribution margin; Benchmarks page API

Sprint 2 (Weeks 3–5): Creative Intelligence + Testing Arena

• Attribution Confidence scoring (High/Med/Low/Dark)
• Efficiency Score (0–100), zone classification (Winner/Functional/Testing/Kill Zone)
• Persona/Angle categorization via embedding similarity + LLM fallback
• Creative Matrix data layer, Scale Opportunities endpoint

Sprint 3 (Weeks 5–8): Agentic Loop + Owner Independence

• Decision Engine (rules-based action queue + priority scoring)
• Action API: execute approved actions via Meta Ads API (budget scaling, pause, deploy)
• Decision logging + audit trail
• Integrations: Nano Banana creative generation, MILA AI assistant, brand onboarding

Not a Fit If

• You think AI coding tools are a fad or “beneath senior engineers.” Our workflow is built around them.
• You need architecture hand-holding. Sprint scopes are detailed, but you must make real-time decisions on data modeling, API design, and integration patterns without waiting for approval.
• You only work in one language. This role requires fluency in both C# and Python. TypeScript is a bonus, not required for this scope.
• You’ve never integrated with complex third-party APIs. If your experience is mostly internal CRUD apps, Shopify/Meta edge cases will slow you to a crawl.
• You ship code without tests. We have 440 lines of untested financial math (P0 fix). Testing is core to the job, not “if there’s time.”
• You need a detailed spec for every function. We define WHAT to build and WHY — you decide HOW.
• You want a strict 9–5. This is a high-intensity engagement with a clear deadline. We’re not asking for 80-hour weeks, but we need someone who ships consistently and communicates proactively when blocked.

Numerical Technologies LTD is a leading provider of custom software solutions and services specializing in risk, limits, and regulatory capital. Right now, we are looking for a Python Developer to join our team.
 

What will you be doing?

As part of the team, you will be participating in a project with a large US bank. You will be helping us develop new software features and support and maintain the existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be working closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs.
 

What are we looking for:

◼ A strong programming background with Python and OOP skills.

◼ Proficiency with SQL (Postgres, SQLite) and NoSQL (MongoDB) databases.

◼ Deep understanding of algorithms and data structures.

◼ Experience with FastAPI and Linux environments.

◼ Strong problem-solving skills and ability to collaborate effectively in a team environment.

◼ Familiarity with LangChain is a plus.
 

What we offer:

◼ Competitive compensation depending on experience and skills.

◼ Regular assessments and salary reviews.

◼ Paid personal days.

◼ Health insurance.

◼ Mental health support program.

◼ English/Polish/Spanish language classes.

◼ Flexible working schedule.

Who we are looking for a skilled Python Engineer (Senior) to join our team building intelligent, secure, and scalable solutions for the agriculture sector.

You’ll work on web app development, document intelligence, and cloud-native microservices, collaborating with experienced engineers and stakeholders to deliver an impactful product for agriculture and traders professionals. 

Important!

This role might involve some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.

About the Project
Our client is a Netherlands-based company building a multi-tenant SaaS platform for traders and agricultural suppliers. AI-powered workflow automation, document intelligence, and product development. Our stack includes Python (FastAPI), OCR/LLM pipelines, NextJS, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions, OpenTelemetry). The solution is hosted in AWS. The project is a long-term partnership with a blended team from both the client and our company, working together as a single product team.

Tech Stack
— Python 3.12+, FastAPI, OpenAPI
— SQLAlchemy, PostgreSQL, Redis
— AI providers integrations (OpenAI, Gemini, etc.)
— Docker, Kubernetes, GitHub Actions
— OAuth2, OpenTelemetry, Twilio

Responsibilities
— Develop, test, and maintain Python microservices
— Implement document intelligence features (OCR, LLM integration)
— Collaborate with frontend, DevOps, and stakeholders to deliver seamless solutions
— Write clean, readable, and well-documented code using type hints and Pydantic models
— Participate in code reviews and contribute to continuous improvement
— Ensure system stability, security, and compliance
— Research and prototype new technologies (LLMs, OCR, cloud-native patterns)
— Support CI/CD, testing, and deployment automationQualifications
— 5+ years of professional Python experience, ideally with microservices
— Experience with FastAPI, Pydantic, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, and GitHub Actions
— Understanding of REST APIs, authentication (OAuth2, JWT), and security best practices
— Experience with frontend integration (React, Identity Providers)
— Good communication and collaboration skills; fluent English (B2+)
— Bachelor’s degree in Computer Science, Software Engineering, or related field
— Experience with testing frameworks (Pytest, etc.)
— Familiarity with document automation or ERP integration is a bonus

What we offer

• Flexible working conditions
• Competitive salary depending on your experience with a comprehensive benefits package, which includes a monthly €50 stipend to cover work-from-home expenses, and an allocation of 25 vacation days.
• After one year, WeAreBrain offers access to a Team Reward Program for all employees.
• Innovative Exploration: Seize the chance to pioneer your department, venturing into uncharted territories, and experimenting with fresh ideas that push boundaries.
• Entrepreneurial: Immerse yourself in a true entrepreneurial environment where every team member is an owner.
• Office Perks: We organise lunch in the office and have monthly gatherings for drinks and bites, fostering our team spirit.
• Remote Work Flexibility: Our team has the freedom to work remotely, allowing you to achieve a healthy work-life balance that suits your preferences.
• Professional Growth: We value your growth. Take advantage of diverse opportunities and resources designed to nurture your professional development.
• A creative and dynamic work environment.