Jobs Python

Our client is seeking a highly skilled and motivated Software Engineer to join their Informatics team. DNA synthesis at scale requires sophisticated sample tracking, QC assay data management, and production schedule orchestration. In this role, you will be responsible for designing, developing, and maintaining production-grade software that enables automation of a next-generation DNA manufacturing platform.
 

This is an exciting opportunity to work with a cutting-edge biotech company alongside software engineers, bioinformatics scientists, R&D teams, and manufacturing specialists to build scalable systems that minimize errors and maximize efficiency in the lab.
 

Responsibilities:

• Rapidly design and build scalable software applications in a cloud-based environment
• Collaborate with cross-functional teams to gather requirements and identify the right technical solutions
• Contribute to a culture of curiosity, collaboration, and continuous improvement
• Apply software engineering best practices, including version control, code reviews, and automation for building, testing, and deployment
• Troubleshoot production software issues, drive corrective action, identify root causes, and help prevent recurrence
• Ensure data integrity, traceability, accuracy, and security
  
   

Requirements

• Bachelor’s degree in Computer Science or another quantitative discipline
• 5+ years of relevant industry software development experience
• Experience deploying and managing full-stack production applications and data pipelines in the cloud
• Strong understanding of software engineering best practices, including peer code review, distributed version control, modern package managers, and CI/CD pipelines
• Fluency in Python and SQL
• Excellent problem-solving, communication, and collaboration skills
   

About the company
Intela is a product ecosystem with 12 technology products across different domains. We are currently looking for a Python Developer for a project focused on large-scale data processing and high-load systems.

About the role

This is a highly technical role for an engineer who is comfortable working with data-intensive systems, performance optimization, and scalable architectures.

You will work on:

• large-scale data processing
• high-performance systems
• distributed architectures
• data pipelines and computations

Responsibilities

• Design and develop backend and data processing systems
• Build and maintain scalable data pipelines
• Work with large volumes of data (batch and streaming)
• Optimize system performance (CPU, memory, I/O)
• Participate in architecture and technical decisions
• Work with distributed systems

Requirements

• 4+ years of Python experience
• Strong understanding of Python internals (memory, concurrency)
• Experience with large-scale data processing
• Hands-on experience with NumPy / Pandas or similar tools
• Experience with data pipelines / ETL
• Understanding of distributed systems
• Experience with Kafka or similar streaming systems
• Strong SQL and database experience

Nice to have

• Dask / Spark / Ray
• Airflow or similar orchestration tools
• Experience with high-performance computing
• Machine learning or data science background
• Performance optimization and profiling experience

N-iX is looking for a Senior Backend Engineer who thrives in building scalable, cloud-native systems. You’ll bring deep Python expertise, strong software design principles, and a solid background in distributed system patterns. This role demands hands-on experience with event-driven architectures and cloud-native AWS services. You’ll help shape critical backend services and infrastructure that are the foundation for our platform.

Responsibilities:

• Design and build scalable backend systems using Python and cloud-native architectures
• Apply object-oriented principles to develop maintainable and modular code
• Architect and implement distributed systems with high availability and fault tolerance
• Build and operate event-driven architectures using tools like Amazon SNS, SQS, EventBridge, and Step Functions
• Leverage AWS-managed services (e.g., Lambda, DynamoDB, S3, API Gateway) to deliver reliable and cost-effective solutions
• Participate in architectural design discussions and influence technical direction
• Write clean, testable code and provide thoughtful code reviews
• Collaborate with cross-functional teams to define requirements and deliver solutions that scale

Requirements:

• 6+ years of experience with Python (deep understanding of object-oriented software design)
• Experience designing and operating event-driven architectures in production
• Proficient with AWS cloud-native services, including Lambda, DynamoDB, S3, API Gateway, EventBridge, and Step Functions
• Deep understanding of distributed systems, including data consistency, messaging patterns, and failure handling
• A collaborative mindset—you enjoy working closely with others, value team success over individual heroics, and help create an inclusive environment
• Proactive and curious—you take initiative to explore, solve problems, and continuously learn
• A natural mentor and team builder—you care about helping those around you grow
• Familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation
• Strong communication skills, with the ability to clearly explain ideas and technical details
• Upper-Intermediate/Advanced English level 

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
•  

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Project overview:

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

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

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

Requirements:

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

Nice to have:

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

Responsibilities:

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

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.

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 trading professionals.

Important!

This role involves 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.

Apply for the job

Do you want to join our team as our new Senior Python Engineer? Then we’d love to hear about you!

Skills / Focus:
 Python, LangChain, LangGraph, AI agents, LLM integrations, distributed systems, microservices, APIs, cloud environments
Responsibilities:
 • Understanding requirements and translating them into scalable backend architecture for AI-driven systems
 • Designing and developing core agent platform components, including multi-agent orchestration and execution pipelines
 • Implementing backend services for LLM integrations, knowledge retrieval, and agent workflows
 • Building and maintaining robust APIs and microservices for platform interactions
 • Ensuring performance, scalability, and reliability of the system in production environments
 • Participating in CI/CD processes and maintaining high engineering standards
 • Collaborating in agile teams and contributing to continuous improvement of the platform
 

Requirements:
 • 5+ years of experience in backend development with Python
 • Strong experience with AI frameworks such as LangChain, LangGraph or similar
 • Experience building and deploying LLM-based or AI-driven systems
 • Solid understanding of microservices architecture and distributed systems
 • Experience designing and building APIs (REST / async patterns)
 • Familiarity with cloud environments (AWS, Azure or GCP)
 • Experience with Docker and CI/CD pipelines
 • Strong problem-solving skills and ability to work in agile teams
 • Ability to design scalable and maintainable system architectures
 

Desirable:
 • Experience with multi-agent systems or orchestration frameworks
 • Experience with vector databases and retrieval systems
 • Knowledge of MLOps / LLMOps practices
 • Experience with observability and monitoring tools

What We Offer:
• Fully remote
• 21 paid vacation days + 3 paid sick leave days
• Working schedule: 9:00–18:00 or 10:00–19:00
• Cooperation format: Ukrainian FOP or European B2B contract

DARLY SOLUTIONS is an international IT company specializing in delivering innovative solutions across FinTech, MedTech, SaaS, etc.
With years of experience in web and mobile development, UI/UX design, Quality Assurance, AI, and machine learning, we pride ourselves on creating impactful products that drive success for our clients. Since 2018, we have successfully completed over 250 projects.
Examples of our work across various domains can be found on our website - https://www.darly.solutions/ 

We are looking for a Python Engineer to join our team on a freelance basis. The ideal candidate should have a strong background in AI Agent development and automation workflows.

Requirements

• 3+ years of Python development experience
• Experience with VanillaJS
• At least B1+ level of English.
   

Responsibilities

• Analyze the current backend codebase and gain a clear understanding of its architecture
• Detect weak points in the system, including unstable or overly complex components
• Improve code quality by refactoring and restructuring existing logic
• Enhance backend architecture and streamline interactions between services
• Ensure reliability and consistency of data flow, including third-party integrations
• Contribute to preparing the system for a stable production release

We are looking for a strong Python Backend Engineer to lead the development of next-generation real-time inference services in a large-scale mobile data platform.

The system processes billions of requests daily and requires extremely low latency, high throughput, and strong reliability. This role sits at the intersection of backend engineering, distributed systems, and ML model serving.

⚠️ Important: This role is focused on building inference infrastructure and real-time decision services, not on model training or algorithm research.

We are looking for an engineer who can design and scale high-performance distributed backend systems that run ML models in production and apply business logic on top of model outputs.

Responsibilities

• Design and develop low-latency real-time inference services
• Build scalable decision engines combining ML predictions with dynamic business logic
• Integrate services with feature stores and high-performance data layers
• Implement model versioning, shadow deployments, and runtime A/B testing
• Ensure high availability, observability, and performance of production systems
• Optimize latency, throughput, and infrastructure efficiency
• Collaborate with Data Science, Infrastructure, Product, and Engineering teams
• Propose and drive architecture improvements for distributed systems

Requirements

• 5+ years of experience as a Python Backend Engineer / Distributed Systems Engineer
• Strong experience building real-time or high-load backend systems
• Experience with low-latency APIs and async architectures
• Experience with ML model serving frameworks (FastAPI / BentoML / Triton / TorchServe or similar)
• Strong understanding of distributed systems architecture and message queues (Kafka / PubSub)
• Experience with cloud environments (AWS / GCP / OCI) and Kubernetes
• Experience with in-memory or NoSQL databases (Redis, Aerospike, Bigtable, etc.)
• Understanding of MLOps concepts and model deployment lifecycle
• Strong ownership mindset and ability to work independently
• Fluent English and strong communication skills

Nice to Have

• Experience building custom inference platforms
• Experience working with feature stores
• DevOps background
• Experience in high-scale product environments (AdTech / data platforms / real-time systems)
• Strong focus on performance optimization and system design

Hiring Process

• 2 stages: technical + interpersonal

Description

We are seeking a highly motivated and experienced Senior Python Developer to join our growing team. This role will focus on developing and maintaining a test automation framework, primarily using PyTest, with a strong emphasis on cloud VM runners. The ideal candidate will have a deep understanding of Python, testing techniques, and a passion for building robust and efficient systems. Experience with network protocols and OS Linux is highly desirable.

Requirements

– Experience with PyTest or other test libraries in Python.

– Strong understanding of Python and Linux OS.
– Expertise in Python package creation.

Nice to have skills, experience & qualifications:

– Familiarity with real-time operating systems (QNX preferred) and basic C++ knowledge.
– Experience with DDS communication protocol.
– Knowledge of the medical device development process.

Job responsibilities

– Design, develop, and implement a test automation framework using Python and PyTest.

– Optimize the test cases execution environment.
– Integrate test automation framework with in-house cloud orchestration platform.
– Support the Automation QA team.
– Documentation and training: Document the design of software and train team members on new workflows and tools.

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

Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:

Zenity is the first security governance platform built specifically for AI Copilots, Low-Code/No-Code applications, and business-led development. Enterprises today create thousands of automations, workflows, copilots, and integrations outside traditional R&D—introducing new, fast-moving security risks. Zenity provides organizations with:

• Real-time detection of misconfigurations, unsafe data flows, and policy violations
• Centralized visibility across hundreds of business-driven apps and automations
• Security guardrails for GenAI and LLM-powered tools
• Prioritized vulnerability reports and guided remediation

About the Role:

Zenity is hiring a Senior Backend Engineer to help drive the evolution of its security platform for AI and Low-Code ecosystems. This role is ideal for engineers who enjoy building large-scale, cloud-based systems with real enterprise impact.

You will work in a dynamic, Agile environment, contributing to the continuous development, scaling, and improvement of the platform.

Engineering Culture:

At Zenity, we work with an AI-first mindset. Our engineering teams actively leverage AI throughout the entire development lifecycle — from ideation and design to implementation and production.

If AI-assisted development is already embedded in your workflow and influences how you approach engineering challenges, this role was built for you.

Key Responsibilities: 

• Design and build backend services powering security governance for GenAI, Copilots, and Low-Code platforms
• Deliver end-to-end product features used by enterprise customers at scale
• Develop detection logic, data flows, and validation layers for complex workflows and automations
• Work with distributed systems, microservices, and cloud-native components
• Build and optimize SQL schema, queries, data models, and near-real-time processing pipelines
• Leverage AI tools (Copilot, Cursor, Claude Code, etc.) extensively as a regular and consistent part of the day-to-day development workflow: to accelerate design, implementation, refactoring, and debugging
• Participate in design reviews, collaborate closely with product and security teams, and contribute thoughtful technical decisions
• Implement security-focused backend solutions that help enterprises adopt AI responsibly

Required Competence and Skills:

• 7+ years of experience in backend software development (Python, Java, Kotlin, C#, Go, Node.js, Scala) with proven delivery of production features, working on core product systems with real user impact
• Strong SQL fundamentals; hands-on experience with PostgreSQL/MySQL plus familiarity with MongoDB or DynamoDB
• Strong SQL fundamentals; hands-on experience with PostgreSQL/MySQL plus familiarity with MongoDB or DynamoDB
• Experience building distributed systems or microservices, including observability and CI/CD automation
• Experience working with AI agents or copilots (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as part of your daily development workflow
• Understanding of AI-first development principles, such as prompt/context engineering, human-in-the-loop workflows, and validation of AI-generated code
• Solid cloud background (AWS preferred) and hands-on work with Docker and container-based deployments
• Experience contributing to high-scale or customer-facing products
• Experience designing ETL/ELT pipelines or large-scale data systems
• Strong communication skills in English, plus experience collaborating with distributed teams
• Ownership mindset and the ability to take a feature from design to production

Nice to have:

• Background in data engineering, streaming, or maintaining near real-time data pipelines
• Hands-on with Kubernetes
• Experience with workflow orchestration (Temporal, Cadence, or similar)
• Ability to work across multiple languages (Python + Go or Node.js)

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.

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍About the Product:

We are developing a no-code automation platform designed for enterprise IT and support teams. The product integrates with multiple third-party systems - such as cloud providers, identity services, and ITSM tools - to automate routine tasks and improve operational efficiency. 
The main technical stack: Python, FastAPI, AsyncIO, microservices architecture using FastAPI and AsyncIO, Postgres, Redis, HTTP/REST APIs, OAuth. 
Current initiatives include the design and implementation of autonomous AI-driven workflows to resolve support tickets and streamline IT processes. 

The system must deliver high reliability and low latency at scale, handling complex orchestration and integrations while maintaining clear auditability and extensibility.

About the Role:

✔️ As a Senior Python Engineer, you will own the design, development, and maintenance of core backend services and REST APIs for our automation platform. 

✔️ You will collaborate directly with stakeholders and a cross-border engineering team. 

✔️ While your primary focus will be on server-side components (including database interactions, task orchestration, and third-party integrations) you will also provide backup support for minor front-end tasks using TypeScript and ReactJS. 

✔️ You will take full ownership of your modules, identify root causes of production issues, propose architecture improvements, and contribute to our AI automation initiatives. 

📍Key Responsibilities:

• Design, implement, and maintain Python-based REST APIs and backend services using FastAPI and AsyncIO.
• Integrate with external systems (cloud providers, identity platforms, ITSM tools) via HTTP/REST interfaces.
• Manage data persistence and caching with Postgres and Redis, ensuring performance and reliability.
• Collaborate on microservices architecture, contributing to code reviews and design discussions.
• Perform root-cause analysis and debugging of production issues to maintain high service availability.
• Support some front-end tasks in ReactJS and TypeScript
• Work with DevOps and infrastructure teams on cloud-based deployments and system design.
• Leverage AI-assisted development tools to improve code quality and productivity.

📍Required Competence and Skills:

• 6+ years of professional experience in software development, with a focus on Python.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency with Postgres and Redis for data storage and caching.
• Experience deploying and operating services on Azure or another major cloud platform.
• Practical skills in TypeScript and ReactJS for front-end maintenance tasks.
• In-depth knowledge of HTTP, REST API design, and OAuth protocols.
• Product-oriented mindset with experience collaborating directly with designers and stakeholders.
• Experience using AI-powered development tools (e.g., Copilot, Cursor) in daily workflow.

Nice to Have:

• Familiarity with Next.js for server-rendered React applications.
• Experience with Temporal or similar orchestration/workflow systems.
• Knowledge of message queue systems (Kafka, RabbitMQ) and event-driven architectures.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.