Jobs Python

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role:
We are looking for a Senior Platform / Systems Engineer to build high-throughput data pipelines and shared memory infrastructure using Python (3.11+), ZeroMQ, and CUDA. You will focus on low-latency IPC, memory management, and scaling our processor-wrapper ecosystem for real-time systems.

Responsibilities: 
- Pipeline Engine (Python DAG orchestrator)
- Shared memory pools (C library + Python/Go bindings)
- ZeroMQ IPC layer, FlatBuffers metadata serialization
- ProcessorWrapper infrastructure.

Must-have:
- Python 3.11+ at a senior level — deep understanding of concurrency, multiprocessing, GIL behavior, and memory management
- CUDA basics — IPC handle management, stream synchronization, CPU↔GPU transfers (not model training, but GPU memory management)
- Experience in Docker/container environment
- Linux systems programming — /dev/shm, process isolation, file descriptors, signals

Nice to have: 
- C/C++ for the shared memory manager (POSIX shm, lock-free Treiber stacks, atomic CAS operations, pybind11/ctypes bindings)
- ZeroMQ — PUSH/PULL and PUB/SUB patterns
- FlatBuffers — schema design and zero-copy access patterns
- Docker/container networking, OpenTelemetry instrumentation.
- OpenCV/CV-CUDA - image processing processors use OpenCV for CPU frames and CV-CUDA (nvcv). For GPU frames
- Tensor RT - Future work includes auto exporting YOLO models to Tensor RT engine format to achieve 2-3x inference speedup
- Connect RPC (Buf ecosystem)
- Experience building developer tooling for ML pipelines, robotics platforms, or real time video systems is a strong plus.

We offer:
- Good compensation;
- Benefit package;
- Strong team and career growth;
- Challenges every day!

passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a US-based startup building AI-powered tools for product and engineering teams, focused on autonomous “agentic AI” systems that turn product requirements into working features directly within real codebases. Their platform integrates with tools like Jira, Git, and design systems to generate production-ready code, reuse existing components, follow company standards, and automatically create pull requests.

The solution operates within real development environments and is designed to understand codebase structure, dependencies, and architecture, enabling it to act more like an experienced developer than a basic assistant.

Our client is looking for a Senior Full-Stack Engineer to join their team and help shape the future of autonomous AI agents for developers. In this role, you will work closely with AI engineers to build tools that enhance coding workflows, automate tasks, and boost productivity.

Why join this project?

• Be part of next-generation AI-powered development tools redefining software engineering
• Collaborate with top-tier engineers and AI specialists
• Solve complex challenges in a fast-paced, growing environment
• Enjoy a dynamic work culture with exciting growth opportunities
• Gain hands-on experience with cutting-edge technologies as the product evolves rapidly

Our tech stack:
React, TypeScript, Python, Postgres, Redis, AWS (leveraging its services extensively).

Key Requirements:
🔹 10+ years in full-stack engineering, with strong backend and frontend experience;
🔹 Startup experience is a must;
🔹 Backend: Strong experience with cloud architectures and AWS services;
🔹 Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi;
🔹 Frontend: Deep expertise in React, TypeScript, and modern frontend architectures;
🔹 Experience working with CI/CD pipelines, automated testing, and modern development workflows;
🔹 Passion for developer tools and high-quality code;
🔹 Advantage: Use AI-powered dev tools in your day-to-day workflow;
🔹 Advantage: Experience with Python;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Design and develop scalable full-stack solutions, balancing backend and frontend;
🔹 Architect and optimize cloud-based systems using AWS;
🔹 Build and maintain high-performance backend services and APIs;
🔹 Develop modern, interactive UI components using React and TypeScript;
🔹 Work on developer-focused tools, including IDE plugins and workflow integrations;
🔹 Solve complex technical challenges (e.g. large codebase parsing, performance optimization, AI integrations);
🔹 Collaborate closely with AI engineers to integrate AI-driven features into the product;
🔹 Take ownership of key technical decisions and contribute to overall system architecture;

Interview stages:
🔹HR interview;
🔹Initial interview (30 min);
🔹Technical interviews;
🔹Interview with CTO (30 min);
🔹Interview with CEO (30 min);
🔹References;
🔹Offer.

Quintagroup is looking for Senior Python Developerr to join a leading European fintech product company. Technology stack: Python 3.11, Django 4.2, Postgres, AWS (EventBridge, Lambda, ECS, RDS, DynamoDB etc.), Docker, Pandas, Polars, Terraform

RESPONSIBILITIES:

• development with Python, AWS
• participation in planning and execution stages
• communicate with international (UK/UA/US) development team and CTO 

REQUIREMENTS

• 5+ years of experience with Python
• Experience with AWS and Python frameworks
• Able to work in a team-oriented, collaborative environment
• Ability to share knowledge

Customer methodologies and tools

• Scrum (2 week sprints)

Senior Python Developer - Project tech stack:

• Python
• AWS

WE OFFER:

• long term projects
• A company with a specialization in Python development for the last 22 years
• Health insurance
• different work models (remote, office, or hybrid remote/office options)
• Projects in AWS, Azure, GCP
• Different domains of projects: FinTech, EdTech, GovTech, IoT, e-commerce, marketplaces, e-auctions, e-learning, public procurement, interesting tasks, possibilities for career and professional growth
• Friendly atmosphere and good working conditions
• regular team-buildings and corporate parties
• Online English classes
• Flexible working hours
• Experience with new technologies

ABOUT THE ROLE

We are looking for a highly skilled Python Engineer to work closely with AI engineering team to develop, deploy and implement AI-powered automations across the company.

Your primary responsibility will be to analyze internal processes, identify automation opportunities, and build intelligent solutions that improve efficiency, accuracy, and scalability. Integrate AI solutions and move them to production.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely with data science team and help them to develop highly optimized code for data processing and Machine Learning (ML).
• Define and implement the deployment processes.
• Develop backend REST services used in PoC. Design such services from scratch. Work closely with product team to identify the requirements.
• You will have flexibility to experiment with new libraries and technologies and use them for the projects.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience

• Upper-intermediate level in spoken and written English
• Solid knowledge of Python and its ecosystem
• Experience with Relational Databases and SQL (PostgreSQL)
• Experience with Test frameworks (py.test, Tavern)
• Experience with Docker
• Hands-on experience with Git
• Understanding of Software Design, OOP, data structures and algorithms
• Understanding of REST API design principles
• Team playing attitude as well as ability to work and research independently

Would be a plus:

• Experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Able to build meaningful visualizations of results
• Experience with AWS (preferred) or any other cloud provider (Azure, GCP, etc)
• Experience with data-mining methods and technologies
• Previous work with automotive or IoT data analytics
• Previous work on open source projects

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.

Company Description

Are you a seasoned engineer passionate about building scalable, high-performance systems? This Senior-level role offers the opportunity to work remotely with talented teams across Europe, Ukraine, and LATAM.

At Sigma Software, we deliver cutting-edge solutions for global customers, combining technical excellence with a service-minded approach. In this role, you will join a distributed team to architect and evolve an advanced Ads platform, contributing to both innovation and stability.

Why join us? You will work on complex, high-impact systems, collaborate with international experts, and enjoy the freedom to shape architecture and technical patterns that drive long-term success.

CUSTOMER

We partner with a leading company in the AdTech space, delivering high-performance, scalable solutions that empower advertisers to manage campaigns, optimize targeting, and analyze results in real time. The Customer values innovation, reliability, and long-term collaboration, and operates globally with distributed teams in Europe, LATAM, and other regions.

PROJECT

The project focuses on building and evolving core systems for an advanced Ads platform integrated into a product for the interior decor industry. This product enables users to preview and visualize home items before purchase, enhancing shopping experiences both online and in-store.

Job Description

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting
• Architect scalable, reliable, and high-performance distributed systems
• Optimize systems for high-throughput and low-latency event/data processing
• Drive architectural decisions and establish development patterns
• Collaborate with distributed teams to ensure seamless integration and delivery
• Mentor and guide other engineers, fostering technical excellence

• Ensure code quality, maintainability, and alignment with long-term product goals

   

Qualifications

• At least 5 years of commercial experience in building scalable, high-performance systems
• Hands-on experience with AdTech solutions such as DSP, SSP, ad exchange, prebid, Google Ad Manager, or openRTB
• Strong proficiency in Python, preferably with the Django framework
• Solid knowledge of computer science fundamentals, including data structures, algorithms, and distributed systems
• Good understanding of distributed system architecture with a focus on data availability, reliability, and performance
• Practical experience with Kubernetes, PostgreSQL, and AWS

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with dbt and Redshift

• Familiarity with interior decor industry solutions

   

Additional Information

PERSONAL PROFILE

• Attention to detail and quality
• Excellent communication skills
• Leadership mindset, proactiveness

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Keymakr is a leading provider of high-quality data annotation services for machine learning and artificial intelligence applications. We specialize in delivering accurate and scalable annotation solutions that empower businesses to develop cutting-edge AI models. Our team is dedicated to excellence, innovation, and customer satisfaction.

We are looking for a motivated Junior Python Software Engineer to help build, maintain, and improve internal tools and services. This role offers a great opportunity to grow your technical skills while contributing to real-world projects and automation processes.

Technical Skills:

• 2+ years of experience in Software development  
• 1+ years of practical experience with Python.
• Knowledge of RESTful API design and implementation.
• Experience in scripting and automating workflows, including working with APIs for task automation.
• Understanding of software design principles, particularly SOLID.
• Basic knowledge of Linux systems and familiarity with the Linux command line.
• Proficiency with version control systems (e.g., Git, GitHub, Bitbucket).
• Practical experience with web frameworks like Flask, Django, or FastAPI.
• Familiarity with Celery, Redis, and RabbitMQ.
• Hands-on experience with containerization tools like Docker.
• Skilled in writing unit and integration tests.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Problem-Solving Skills:

• Strong analytical thinking and problem-solving capabilities.
• Ability to debug, troubleshoot, and optimize code effectively.

Nice-to-Have Skills:

• Basic understanding of frontend technologies (HTML, CSS, JavaScript).
• English at an intermediate level or higher (to read and understand technical documentation).
• Familiarity with Agile development methodologies.
• Understanding of CI/CD pipelines and DevOps practices.

Responsibilities:

• Developing and maintaining tools and applications for the company’s infrastructure.
• Designing, supporting, and maintaining internal services.
• Transforming and storing data in various formats (e.g., JSON, XML, CSV).
• Automating workflows using APIs.
• Researching, configuring, and integrating third-party software into company processes.
• Providing general IT support and troubleshooting.

We are looking for a Python AI Developer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of development experience with Python
• Experience building real AI applications 
• Experience with LLM APIs (Claude, OpenAI, etc.)
• Understanding of RAG and AI workflows
• Experience with APIs and integrations
• Basics of prompt engineering
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LLM frameworks (LangChain, LlamaIndex, etc.)
• Experience working with clients or enterprise systems

Responsibilities

• Build AI features using LLMs (Claude, etc.)
• Work with RAG pipelines
• Create AI agents / workflows
• Integrate AI into products via APIs
• Collaborate with team and clients

Code&Care — is a successful full-stack development company, which provides clients with high-quality development assistance worldwide.

Now our team has a position for Full-Stack Engineer (Python, React, AI).

Requirements:
• 4-5+ years of professional software engineering experience
• Strong Python skills (FastAPI or similar)
• Experience with React and TypeScript
• Experience with PostgreSQL and API development
• Experience with AWS (Lambda or similar services)
• Experience with CI/CD (GitHub Actions or similar)
• Experience building and supporting production systems
• Experience with AI/LLM integrations (OpenAI or similar) or strong interest in this area
• Ability to work with 3–4 hours overlap with San Francisco (PST) time zone
• Understanding of modern development practices
• Upper-Intermediate+ English level

Nice to have:
• Experience with tools like LangGraph
• Experience in fintech or similar domain
• Experience with integrations like Stripe, Plaid
• Experience with E2E testing tools

What the company offers:
• Constant and interesting work with foreign clients
• Flexible working hours
• 50% cost compensation of sports, English lessons
• Annual paid 30 days vacation and paid sick days
• Medical insurance policy

Responsibilities:
• Develop backend services with Python and frontend with React
• Integrate AI/LLM features into the product
• Support and improve CI/CD processes
• Work with AWS infrastructure
• Collaborate with team and stakeholders
• Ensure code quality and stable releases

About the Role:

We are seeking a motivated Junior Verification Engineer to join our VLSI design and verification team.

This is an excellent opportunity for new graduates with strong academic training in digital design, verification methodologies, and SystemVerilog/UVM.

Responsibilities:

Develop and execute verification testbenches using Verilog/SystemVerilog and UVM

Implement functional and constrained-random tests for block-level and SoC-level designs

Create coverage models (functional, code, assertion-based) and drive coverage closure

Debug simulation failures, interface mismatches, and RTL issues

Write and maintain scoreboards, monitors, agents, drivers, and checkers in UVM

Review design specifications, extract test requirements, and build verification plans

Run regressions, triage failures, and document results

Collaborate closely with RTL designers, DFT, backend, and system architects

Required Qualifications:

B.Sc. or M.Sc. in Electrical/Computer Engineering or related field

Strong academic background in digital logic, computer architecture, and VLSI design

Hands-on experience with Verilog and SystemVerilog (labs, projects, internship)

Basic understanding of UVM methodology

Familiarity with simulation tools (VCS, QuestaSim, Xcelium or similar)

Ability to read and understand RTL code

Good analytical and debugging skills

Strong motivation to grow in advanced functional verification

Nice-to-Have Skills:

Coursework or project experience with UVM testbench development

Familiarity with assertion-based verification (SVA)

Basic scripting (Python, Perl, Shell, TCL)

Experience with coverage-driven verification

Exposure to SoC-level interfaces (AXI, PCIe, DDR, Ethernet, SPI, I2C)

What We Offer:

Full training in modern verification methodologies (UVM, SVA, CRV)

Work with cutting-edge IPs and SoC architectures

Mentorship from senior verification and architecture teams

Clear growth path toward UVM specialist, verification lead, or architect

We are looking for highly motivated junior engineers to join our Design-for-Test (DFT) team.

This is an excellent opportunity for graduates who want to build expertise in Scan, Memory BIST, and JTAG within advanced VLSI development.

Responsibilities:

Learn and support implementation of scan insertion and scan chain architecture

Assist in ATPG pattern generation and test coverage analysis

Participate in Memory BIST (MBIST) integration and verification

Work with JTAG / IEEE 1149.1 boundary scan concepts and flows

Help debug test-related issues at RTL and gate level

Collaborate with senior DFT engineers on SoC-level test strategy

Required Background:

Academic knowledge in digital logic, VLSI design, and computer architecture

Basic familiarity with DFT concepts: scan, ATPG, BIST, boundary scan

Understanding of Verilog or VHDL

Scripting basics (Python, TCL, Shell)

Good analytical and problem-solving skills

Strong motivation to learn industry-standard DFT tools and flows

What We Offer:

Full training in Scan, MBIST, JTAG, ATPG, and DFT methodologies

Mentorship by experienced DFT engineers

Exposure to advanced SoC development flows and signoff

Growth path toward senior DFT, test architecture, or silicon bring-up roles

About Us

At Structurata, we deliver premier workforce data encompassing people, contacts, organizations, jobs, and intent signals. Renowned for providing the most up-to-date and accurate lead generation data on the market, our solutions empower cutting-edge recruiting and sales platforms, AI-driven models, custom audience creation, and much more. With seamless delivery through APIs, and data feeds, Structurata ensures our customers access the data they need, when and how they need it. We are a Ukrainian based company and a Ukrainian based team.

As a Scraper Engineer, you will:

• Monitoring Duties
  • Review monitoring reports to ensure crawler health and data quality
  • Analyze logs to identify unexpected events, proxy issues, and schema changes. 
• Implement New Crawler Services
  • Build and deploy crawler services for new public data sources we are wishing to crawl
  • Develop work email enrichment capabilities to enhance data coverage
• Handle Crawler Outages of P1 Services
  • Investigate and resolve LinkedIn crawler issues, including proposing solutions when APIs are deprecated
  • Respond to monitoring alerts and investigate issues (e.g., significant decreases in profiles crawled)
  • Troubleshoot and restore critical data pipelines with urgency

Required Skills & Experience

• 3+ years of experience in Python development with a strong understanding of good code design principles
• Solid proficiency in PostgreSQL (PSQL), including query optimization and database design
• Experience with Celery for distributed task queue management
• Proven experience building ETL applications that can scale with billions of events
• Experience with web scraping technologies, proxy management, and handling anti-bot measures
• Strong debugging skills and ability to analyze logs and monitoring systems
• Excellent problem-solving skills and ability to work independently or collaboratively

Preferred Skills

• Experience with Flower for Celery monitoring
• Familiarity with LinkedIn APIs and other professional data sources
• Knowledge of firewall configuration and IP tables management
• Experience with Docker and containerized deployments

About Us

We are building a new high-load online platform in the iGaming domain using a modern, cloud-based backend architecture.
Our focus is on performance, reliability, and correctness.

The platform is designed as a distributed microservices system, capable of handling real-time processing, financial transactions, and heavy concurrent workloads.

We are assembling a strong engineering team to design and implement this platform entirely in Python with FastAPI.

Role: Python Backend Developer

You will design and implement core backend services in a cloud-native, microservices architecture.
This role involves working on critical systems such as transactions, user management, game integrations, messaging pipelines, analytics, and internal services.

You will actively participate in architecture, data modeling, and technical decision-making.

Responsibilities

• Design and develop backend services in a microservices architecture
• Build scalable APIs using FastAPI and async Python
• Architect and implement messaging and streaming systems
• Design and optimize PostgreSQL data models and queries
• Implement efficient caching and data access layers
• Work with analytical workloads using ClickHouse
• Ensure high availability, performance, and fault tolerance
• Write production-grade, well-tested, maintainable code
• Participate in system architecture and technical design decisions

Requirements

Must-Have

• Strong experience in Python backend development
• Hands-on experience with FastAPI
• Deep understanding of async programming in Python
• Strong knowledge of PostgreSQL and SQL optimization
• Experience with SQLAlchemy and Pydantic
• Experience working with RabbitMQ and/or Kafka
• Experience with Redis
• Production experience with Docker and Kubernetes
• Understanding of microservices and distributed systems
• Strong debugging and problem-solving skills
• Experience writing automated tests with Pytest

Nice-to-Have

• Experience building high-load, distributed platforms
• Experience in betting, gaming, fintech, or financial platforms
• Experience with ClickHouse or large-scale analytics
• Experience with cloud-native systems and observability

What We Offer

• Work on a new high-load platform built with modern Python
• Real impact on architecture and technical direction
• Challenging engineering problems at scale
• Strong technical team and engineering culture
• Competitive compensation
• Long-term, stable project
• Remote-friendly environment

Senior Python Engineer (Python + AI/LLM)

Required:

Senior Python Engineer, English B2+

Full-time, US working hours

Project Overview

US-based healthcare platform leveraging AI to optimize doctors' workflows. The team builds intelligent, agent-based systems and integrates LLMs into production environments to improve clinical efficiency at scale.

Responsibilities

Design and develop AI-powered features and backend systems in Python

Build and maintain LLM-based pipelines, RAG systems, and agent-based architectures

Integrate and optimize prompting strategies for production AI workflows

Collaborate with cross-functional teams across product, data, and infrastructure

Ensure code quality, security compliance, and system reliability in a high-security environment

Continuously explore and apply emerging AI frameworks and best practices

Requirements (Must-have)

5+ years of experience - Senior-level Python engineering experience (hands-on, production-grade)

Strong React experience 2+ years

Proactive, self-driven approach with ability to work autonomously

Comfortable operating in high-security environments

English B2+

Nice to Have

Experience with LLMs and agent-based systems (tools/skills, orchestration)

Knowledge of prompting techniques: Zero-shot, Few-shot, CoT, ReAct

Understanding of MCP / context management; experience building RAG or similar systems

Familiarity with LLM evaluation metrics (precision, recall, F1)

Experience with AI frameworks: LangChain, LlamaIndex, AutoGen, CrewAI or similar

Experience with vector databases: Pinecone, Weaviate, FAISS, Chroma, Milvus

Availability in US time zone

Tech Stack

Python, React, LLMs, RAG, Vector Databases, AI Frameworks (LangChain / LlamaIndex / AutoGen)

Hiring Process

Intro call

Technical discussion

Offer

Start: ASAP

• Project Description:

  We are looking for a Senior Data Engineer - Reporting & Process Optimization to support our regulatory reporting transformation initiative within an investment banking environment. The primary focus of this role is to maintain the current reporting system built in Python, while also leading the migration to Azure Databricks to improve performance, scalability, and efficiency.
  
  This role involves developing, optimizing, and automating reporting processes using PySpark and SQL, ensuring accurate and timely regulatory report generation. The successful candidate will work closely with risk teams, regulatory compliance teams, and data engineers to enhance reporting workflows and integrate the new system into our Azure cloud infrastructure.
  
  This is an exciting opportunity to work on critical financial reporting processes, contributing to regulatory compliance, data governance, and process efficiency improvements.

• Responsibilities:

  - drive the modernization and scalability of the client, transaction, and regulatory reporting platforms, within Asset Management technology
  - implement high quality solutions that address business needs and adhere to industry standards
  - drive automation of manual processes to the next level
  - closely collaborate within an agile team and a global agile organization
  - translate high level business requirement into technical requirements addressing reliability, scalability, and performance needs

• Mandatory Skills Description:

  - minimum 4+ years hands-on application development experience using Databricks with Python
  - experience with PySpark, Pandas, Numpy, unit testing
  - hands-On Experience on SQL Server/ PostgreSQL database
  practical experience with microservice architectures, CI/CD pipelines (preferably with GitLab)
  - good to have exposure to cloud native services on Azure
  experience in translating high-level business requirements into IT requirements
  - excellent communication skills

• Nice-to-Have Skills Description:

  - bachelor's/master's degree or equivalent with a focus in software engineering
  - Azure Data Services
  - ETL & Data Processing,
  - Financial Data Processing, experience handling risk, compliance, and regulatory data in an investment banking environment.
  - Data Modeling, meta data management
  - Git, GitHub, GitLab,
  - Jenkins
  - Regulatory compliance knowledge: Basel, MiFID, GDPR
  - Big Data
  - Cloud security and access controls (IAM, RBAC)
  - Familiarity with Docker, Kubernetes, Apache

• Languages:
  • English: C1 Advanced