Jobs Python

We are seeking an AI Infrastructure Engineer to join our client's team, working on a backend platform within the UK insurtech space. 

Responsibilities: 

• Design and take ownership of the platform runtime, including how agents are compiled, configured, and deployed at scale 
• Build the configuration layer enabling carriers to control and iterate on product journeys without requiring code changes 
• Own the data model underlying the platform's systems and tooling, ensuring the ability to rapidly meet evolving customer requirements 
• Define the security model, encompassing PII handling, data residency, and model access controls 
• Develop self-improvement loops, including performance tracking and automated evaluation across deployments 
• Establish the observability and audit trail infrastructure necessary for a regulated insurer to operate AI at scale with confidence 

• Continuously enhance the platform's engineering practices through automated validation, robust CI pipelines, and agentic review processes 

   

Requirements: 

• At least 5+ years of demonstrated experience building substantial backend infrastructure 
• Well-formed perspectives on distributed systems, API design, and designing for auditability 
• Strong proficiency in Python and Go, with exposure to secure DevOps/CI-CD practices and observability/audit-trail implementation 
• Prior experience delivering robust systems to a large user base 
• Proficiency with LLMs and agent frameworks; prior experience shipping a production agent platform is not required, though a thorough understanding of the associated constraints is expected 
• A security-first design orientation, integrated into the design process rather than treated as a compliance checklist 
• Upper-Intermediate English proficiency or higher 

We Offer:   

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches   
• Real Product Impact: Direct collaboration with a client and influence on product decisions   
• Flexible Work: Remote work or a modern office in Kyiv   
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually   
• Professional Growth: Compensation for courses, certifications, and learning resources   
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)  

Recruitment Process:   

1. HR Interview   
2. Technical&Final Interview  
3. Client Stage 
4. Job Offer 

Our customer is reinventing credit to make it more honest and customer-friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

As a Lead Python Engineer, you will be part of a team that develops solutions responsible for managing critical services essential to the success and sustainability of the organization. In simple terms, the team builds and supports the systems that deliver transactional communications to customers via email, SMS, and push notifications. These services require strong attention to detail, proactive maintenance, and quick response times to ensure reliable and seamless operations.

Requirements:

· You have 5+ years of experience designing, developing and launching backend systems at scale using Python; Kotlin(preferred)/Java - must-have. 

· You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. 

· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. 

· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. 

· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

Senior Backend Engineer with 10+ years of experience needed for a global project in defense AI technologies.
 

Requirements:

• 10+ years of experience
• Strong fundamentals in data structures, algorithms, and problem-solving
• Language-agnostic mindset – comfortable learning new languages as needed
• Python preferred, but open to language-agnostic engineers
• Depth of knowledge over breadth of tools
   

Conditions:

• B2B Freelance contract
• Full Remote
• 12+ months duration
• ASAP start date
   

Tech Stack: Python, JavaScript/TypeScript (current stack)

Project:
Global project in the area of defense AI technologies. We're looking for several senior Backend Engineers with more than 10 years experience.

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.

Join a team developing an enterprise-grade agentic AI platform that leverages AI agents, tools, skills, and orchestration capabilities to automate cybersecurity and business processes. The project involves building and enhancing modern GenAI solutions using technologies such as Python, Azure, RAG, MCP integrations, CI/CD, observability, and scalable cloud-native architectures. You will work on designing, developing, and industrializing advanced agent-based AI applications, contributing to new use cases, integrations, security features, and platform evolution.

• Responsibilities:

  * Design, develop, and maintain full-stack applications using Python, FastAPI, and React.
  * Build and enhance Agentic AI solutions leveraging LLMs, LangChain, LangGraph, and AI orchestration frameworks.
  * Develop backend services, APIs, and integrations with external systems and AI tools.
  * Design and optimize data models and queries in PostgreSQL.
  * Implement caching, session management, and performance optimization using Redis.
  * Collaborate with architects, DevOps engineers, and product stakeholders to deliver scalable solutions.
  * Ensure code quality through testing, code reviews, and adherence to engineering best practices.
  * Contribute to system observability, monitoring, troubleshooting, and platform reliability.
  * Participate in solution design and technical leadership.
  * Support CI/CD processes and cloud-native application deployment.

• Mandatory Skills Description:

  * 7+ years of professional software development experience.
  * Strong expertise in Python and modern backend development.
  * Experience with FastAPI and RESTful API design.
  * Strong frontend development experience with React.js.
  * Hands-on experience building Agentic AI applications.
  * Practical experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or similar), LangChain, LangGraph, Langfuse.
  * Strong knowledge of PostgreSQL.
  * Experience with Redis.
  * Understanding of software architecture, design patterns, and scalable distributed systems.
  * Experience with Git, CI/CD pipelines, and modern development practices.
  * Good communication skills and ability to work in an international environment.
  * English: B2 or higher.

Phenomenon Studio is a boutique product design and development agency founded in 2019. We work with teams who’ve outgrown what they’ve built — from venture-backed startups to established market leaders — and own the work end to end: strategy, design, development, and post-launch.

The team of 70+ senior specialists is based in Europe, with entities in the USA, Estonia, and Switzerland, serving SaaS, fintech, healthcare, and EdTech. Across 120+ launches, clients have raised $500M+. Phenomenon is HIPAA-compliant, Nielsen Norman Group UX certified, and a Webflow Experts partner, holding a 5.0 rating on Clutch — and most clients come back for a second project.

Our customer is a GRC (Governance, Risk & Compliance Assessment) platform designed to automate risk assessment, vendor management, and compliance with security standards. It streamlines complex GRC processes by centralizing data, enabling efficient reporting, and reducing manual workload.

The product is used by universities and public sector organizations in the US.

Team: Solution Architect, 2x Backend, 2x Frontend, QA, PM, PO, UI/UX Designer

Requirements:

• 4+ years of commercial backend development experience
• Strong knowledge of Python 3.12+ and async programming (asyncio, async/await patterns)
• Strong hands-on experience with FastAPI (dependency injection, Pydantic, middleware)
• AI-assisted development as a daily practice — everyday, hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot, or equivalent)
• Experience building AI agents and using Agent Skills
• Solid experience with SQLAlchemy 2.0 (async), PostgreSQL (asyncpg), and Alembic migrations
• Experience building real-time features with Socket.IO (or equivalent WebSocket frameworks) — rooms, namespaces, auth, scaling across workers
• Experience with Redis and distributed task queues (Celery, or arq/dramatiq)
• Understanding of multi-tenant architectures and data isolation patterns
• Experience with JWT-based auth and role/permission-based access control (RBAC/ABAC)
• Discipline around clean layering — clear separation between routes, services, and repositories (no SQL in the service layer)
• Hands-on experience with AWS (ECS Fargate, RDS, ElastiCache, S3, Secrets Manager, IAM), Docker (multi-stage builds), and Bash
• Experience designing and operating microservices (service boundaries, inter-service communication via internal SDKs, observability)
• Experience with Infrastructure as Code using Terraform (AWS provider, module composition)
• Strong experience writing unit and integration tests (pytest, pytest-asyncio)
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level
   

Nice to have:

• Experience with aioboto3 or other async AWS interaction patterns
• Experience scaling WebSocket/Socket.IO deployments (sticky sessions, Redis adapter, horizontal scaling)
• Experience with performance profiling and query optimization at scale
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI)
• Familiarity with uv(Astral) or other modern Python package managers
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000, SOC 2)
• Experience with GRC (Governance, Risk, Compliance) domain

Responsibilities:

• Develop and maintain backend microservices using Python, FastAPI, and async SQLAlchemy
• Use AI tooling daily to accelerate delivery — while owning the correctness, security, and maintainability of everything that ships, regardless of how it was generated
• Design efficient database schemas, write performant queries, and manage schema evolution via Alembic
• Build and maintain real-time features via Socket.IO — event flows, room/namespace design, and reliable delivery under load
• Implement asynchronous workflows using Redis and Celery where appropriate
• Contribute to the microservices architecture — propose improvements for scalability, reliability, and clear service boundaries; consume and evolve internal SDKs for inter-service communication
• Work within a multi-tenant environment — build features that respect tenant isolation and scale across tenants
• Provision and evolve cloud infrastructure on AWS via Terraform (ECS Fargate, RDS, ElastiCache, ALB, IAM), following IaC best practices
• Collaborate with team members to align technical implementation with business goals
• Deploy and operate services using Docker and CI/CD pipelines
• Take initiative to identify improvements, propose technical solutions, and contribute ideas that enhance product quality, performance, and security posture

What we offer:

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off
   

Recruitment process: Recruitment interview — Technical interview — Final interview

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. We build SaaS products that support electronic trading, brokerage operations, risk management, and financial data analysis. 

The back office is responsible for reconciling balances following traders' transactions and for reporting to clients and regulators. 
‍

We are looking for a Senior Python Engineer who is collaborative, has a product mindset, and is reliable. 

Responsibilities

• Build, ship, and maintain backend features in Python 3.x + Django (incl. DRF) with solid tests (pytest).
• Design and optimize PostgreSQL schemas/queries; own data migrations and performance tuning. Integrate and maintain external services (payments, email, auth, storage), with secure, idempotent APIs.
• Implement background jobs with Celery/Redis, monitoring, and alerting.
• Contribute to code reviews, CI/CD, and engineering standards (linting, typing, docs).
• Diagnose production issues end-to-end (logs, metrics, traces) and drive root-cause fixes.

‍

Requirements

• 5+ years of experience as a Python Engineer and 3+years of experience with Django.
• Python 3.10+; Django 3.2/4.x; DRF; PostgreSQL (indexes, transactions, locking).
• Celery + Redis (tasks, retries, schedules).
• Testing culture (pytest, factory_boy, fixtures, coverage) and type hints (mypy/pyright).
• REST API design (versioning, pagination, error contracts, idempotency).
• Docker, basic Linux, and CI/CD (GitHub Actions/GitLab CI).
• Observability: structured logging, metrics, basic tracing; using Sentry/Prometheus/Grafana.
• Security basics: OWASP Top 10, secrets management, least privilege.

‍

Nice to have 

• Caching & messaging: Redis patterns, RabbitMQ/Kafka basics.
• Async APIs (FastAPI), GraphQL, websockets.
• Infra: AWS (ECS/EKS/Lambda, RDS, S3, CloudWatch), Terraform.
• Frontend fluency for Django templates or simple React/TypeScript components.
• Performance profiling (cProfile, PySpy), feature flags, i18n.
• Security hardening (CSP, rate limiting, audit trails).

‍

What We Offer

‍

• Work-Life Balance — 25 days of paid vacation + 30 days of paid sick leave.
• Care from Day One — medical insurance from your first day, including dental care, massage, and professional psychological support.
• Knowledge Library — office books and access to the Kuka online library.
• Investment in Your Energy — partial reimbursement for sports and fitness activities.
• Growth & Learning — coverage for English or Ukrainian language courses and a dedicated professional development budget.
• Island Relaxation — up to 14 days per year at the company villa in Cyprus.

‍

Join the Pine Software team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

‍

Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note, that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.  

We’re building an AI-native CRM platform that completely redefines how sales automation works.  
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.  

Our mission: to build a CRM that works for User, not the other way around. 

About the role 

We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems. 

This is a hands-on engineering role focused on: 

• Python backend 
• FastAPI 
• Data-heavy systems 
• AI / LLM product features 
• System architecture and scalability 

We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production. 

What you will do 

• Design, build, deploy, and maintain core backend services using Python and FastAPI 
• Own backend architecture, data flows, and technical decisions in your domain 
  Build and scale data-intensive systems, integrations, and pipelines 
• Work on AI / LLM-driven product features together with the engineering team 
• Improve system performance, scalability, reliability, and observability 
• Contribute to engineering practices: testing, CI/CD, security, and code quality 
• Work closely with product and engineering to deliver high-impact features 

What we are looking for 

• 7+ years of hands-on backend development experience 
• Strong commercial experience with Python in production 
• Python should be your primary backend language 
• Strong experience with FastAPI, APIs, Docker, Git, and CI/CD 
• Experience owning backend systems end-to-end: architecture, performance, data, reliability 
• Strong knowledge of PostgreSQL and data-heavy systems  
• Experience building distributed, scalable, or high-load systems 
• Good understanding of system design and performance optimization 
• Ability to work with ambiguity and take ownership without micromanagement 
• High ownership, independence, and product mindset 

Nice to have 

• Experience integrating LLMs / AI into backend systems 
• Experience with RAG, embeddings, vector databases, or AI assistants 
• Experience with Kafka, Azure Event Hub, or other event-driven systems 
• Experience with Kubernetes and cloud infrastructure, especially Azure 
• Experience building ETL / ELT pipelines 
• Experience working with structured and unstructured data 
• Production observability, tracing, monitoring, and optimization experience 

This role is likely a strong match for people who 

• Enjoy owning backend systems end-to-end, not just implementing isolated tasks 
• Feel strongest in Python as their main backend language 
• Have worked on production systems where reliability, performance, and scale matter 
• Want to have direct influence on technical decisions and architecture 
• Are comfortable working in an early-stage, high-ownership environment 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 
• Opportunity to grow into technical leadership / domain ownership 

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk. 

About us
We are a product R&D company that creates solutions for the dynamic iGaming Ecosystem.
Our mission is to build cutting-edge platforms that reinvent the iGaming industry.
 

About the team

We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We work across personalization, recommendation, fraud detection, and some GenAI, through real-time, near-real-time, and batch
pipelines. The team is a blend of Python backend engineers, ML engineers, QA (manual and automation), a data engineer, and data scientists. Our shared mandate is to take experimentation from our data scientists and turn it into
robust, production-grade systems, either as standalone services or integrated into wider platforms.

The role

You will be a senior engineer on the team, building and operating backend systems and setting a high bar through your work. You will contribute significantly to architecture and technical direction and strongly influence how we build, working alongside other senior engineers and a hands-on engineering manager, while staying hands-on across the hardest problems. The systems you work on are either part of a larger SaaS backend or run as standalone services: batch and event-driven pipelines, stream consumers, feature stores, REST APIs, and background workers.
 

 Responsibilities

• Contribute significantly to the architecture and implementation approach for the team's backend systems, and influence technical direction
• Design and build production Python services: APIs, stream consumers, pipelines, feature stores, background workers
• Set and uphold engineering standards: code quality, testing, observability, deployment discipline
• Take ownership of deployment and release, partnering with DevOps on Docker, Kubernetes, and CI/CD
• Productionize data scientists' experimentation into reliable services
• Raise the technical bar through review, mentorship, and example
• Take part in the team's on-call rotation for the systems you build and operate
• Partner with product and business stakeholders to shape and scope work

 
Requirements

• 5+ years of backend engineering experience
• Strong Python: async, data processing, Redis, Kafka, and database clients, PySpark
• Strong relational database skills, plus Redis and Kafka (design and performance tuning)
• Good working knowledge of Docker, Kubernetes, and CI/CD, enough to partner well with DevOps
• Experience contributing to and influencing architecture and implementation approach for a team
• Deployment and release ownership
• Product mindset, comfortable speaking to customers and business stakeholders

Nice to have

• Databricks experience
• Experience building LLM-powered systems, including human-in-the-loop and agentic workflows
• Fraud detection, recsys, or personalization systems experience
• Prometheus and Grafana
• SaaS or high-scale product domain experience

Why join us

• Work on high-scale, high-throughput backend systems
• Broad range of technologies, stacks, and problems
• Take experimentation from data scientists and turn it into production systems
• A strong engineering culture that values technical depth and ownership
• A distributed team across Dubai and Europe

You will get:

• Work in a technically strong environment with modern stack and mature Agile culture;
• High autonomy, decision-making authority, and close cooperation with leadership;
• A position in a product development company with a dynamic environment and several concurrent projects;
• Opportunity to contribute (your ideas for improvement implementation);
• Continuous self-improvement and growth, including budget for certifications and courses;
• Competitive salary plus annual bonus, based on individual, team, and company performance;
• Company prepaid AI agent;
• Medical insurance coverage;
• English language courses;
• Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health;
• Corporate events and fun team-building activities;
• Remote-first culture (with a possibility to work from our Kyiv office)
   

Interview Stages:

1. HR Interview (30-45 minutes) — Initial conversation to discuss your experience, career goals, and cultural fit.
2. Technical Interview (1 hour) — In-depth technical interview covering relevant skills.
3. Technical Design Interview (LLD/HLD) (1 hour) — In-depth technical interview covering relevant skills.
4. Final Interview (1 hour) — A comprehensive discussion with the hiring manager, focusing on role-specific competencies and alignment with company values.
5. Reference Check & Job Offer

About project:
Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation testing of the video and audio content and other services available via digital media players using a custom test automation framework.

Responsibilities:

• Working with the solid automation test framework and infrastructure.
• Developing new and updating existing automation scripts.
• Code review.
• Debugging issues and creating bug reports.
• Documentation creation.
• Communication with international teams (US, UK).

• Manual work: about 20%.

  
  Requirements:

• Strong hands-on experience in Python development.
• Experience developing, maintaining, and extending automated test frameworks and test suites.
• Good knowledge of QA methodologies, test design techniques, and software testing lifecycle.
• Understanding of test automation design patterns, including Page Object Model (POM).
• Experience with Scrum/Agile;
• Good communication and problem-solving skills;
• Excellent written and verbal English communication skills, developed interpersonal skills;
• Highly motivated, energetic, and able to easily switch between assignments. 
   

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 an AI-first platform that brings together multiple maritime data sources into a single, unified operational view. The platform creates a digital twin of global maritime activity and uses behavioral analytics together with predictive AI models to identify risks such as smuggling, illegal fishing, container risk, and other compliance or security threats.

The system delivers mission-grade intelligence for both commercial and government stakeholders.

Operating at global scale, the platform processes millions of events and terabytes of geospatial data every day. It is built on cloud infrastructure and microservices, and is closely connected with research prototypes developed by data science teams.
 

About the Role:

You will become part of an autonomous team focused on building agentic AI capabilities within a production-grade maritime intelligence platform.

As a Senior AI Engineer, you will design, develop, and deploy production-ready AI systems based on LLMs, autonomous agents, and retrieval-augmented generation (RAG). You will be involved across the full AI application lifecycle - from experimentation and prompt engineering to scalable deployment, evaluation, monitoring, and continuous improvement.

You will work closely with platform engineers, researchers, and product teams to turn AI prototypes into reliable, secure, and scalable production systems.
 

Key Responsibilities:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Develop and optimize autonomous AI agents that can plan, use tools, make decisions, and handle complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Create AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and connect AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities and bring them from experimentation to reliable real-world usage.
• Own technical decisions and promote AI engineering best practices, including architecture, testing, tooling, deployment, and AI-SDLC standards.
   

Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language such as Golang, Rust, TypeScript, Java, or similar, with willingness to work mainly with Python.
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or similar.
• Experience deploying and operating production AI services in cloud environments.
• Proven experience designing scalable, event-driven architectures using messaging systems such as SQS/SNS and SQL/NoSQL databases.
• AWS experience is preferred.
• Experience integrating AI agents and AI-powered capabilities into production applications through GraphQL or REST APIs.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operations using Kubernetes and Terraform.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Excellent communication skills, autonomy, and accountability in ambiguous, fast-moving environments.
   

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.
   

Why Us:

We provide 20 days of vacation leave per calendar year, plus official national holidays of the 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.

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

You'll be a great fit if you have:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with gRPC;
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

What you'll do:

• Designing and developing high-performance Backend APIs using FastAPI and gRPC;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.

  
  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

N-iX is seeking a Senior Python Software Developer in the AI Services to join our team.
 

About the project: Our client is an established market leader who has been processing over 18 million vehicle claims per year since 2002, with more than 1,000 employees worldwide. They combine AI-based processes and the latest technologies with the knowledge of our automotive experts.
 

Responsibilities:

• Design and implement software solutions in Python in the field of artificial intelligence and machine learning.
• Conceptualize and test scalable applications and services that meet the requirements of our customers.
• Work closely with Data Scientists and other Developers to seamlessly integrate AI models into existing systems.
• Analyze and optimize the performance of AI-Applications to maximize their efficiency and effectiveness.
• Apply your expertise and contribute to the continuous development and improvement of our development processes and methods.

Requirements:

• Qualification: A degree in IT, physics, mathematics, or a related field, preferably complemented by a computer science degree, as well as three or more years of experience in development with Python.
• Experience & Know-how: Solid backend experience, hands-on knowledge of FastAPI and core Python, as well as a basic understanding of machine learning and SQL.
• Personality & Working method: Excellent analytical abilities and problem-solving skills, able to work independently and stay well-organized, good team player.
• Technical skills: Experience with Python (NumPy, OpenCV, FastAPI) and AWS ML services, DevOps (GitLab CI/CD, Docker, Kubernetes, NVIDIA Triton), and backend development (REST API, OpenAPI, Swagger).
• Language: Fluent in written and spoken English.

Nice-to-have: 

• Experience in AI frameworks, LLM frameworks such as Haystack/LangChain, and PyTorch.

We are looking for a Senior Python Developer who is ready to scale and grow with us.
 

If you’re passionate about clean code, scalable backend architecture, and excited to build something impactful, we’d love to meet you!
 

What will you do?
 

• Contribute to the full backend lifecycle, from architecture design to production deployment;
• Design, develop, and maintain RESTful APIs using Python, Flask, FastAPI, and SQLAlchemy;
• Implement microservices architecture with message brokers and API gateways;
• Implement authentication and authorization with industry-standard encryption and access control;
• Optimize backend services for performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization;
• Implement complex algorithms and data structures to handle data processing, operations research (OR), recommendation systems, and optimization problems;
• Deploy and scale services on GCP (Cloud Functions, Cloud Run, Kubernetes); containerize with Docker;
• Design and optimize database schemas using PostgreSQL/MySQL and integrate Pandas/NumPy for analytics and ML;
• Document API specifications using OpenAPI (formerly Swagger);
• Collaborate with frontend, data science, and DevOps teams to align backend with product goals;
• Maintain engineering standards through code reviews, documentation, and knowledge sharing.
 

Requirements:

• 7+ years of commercial experience in backend development with Python;
• Upper-Intermediate English (B2 or C1) for comfortable verbal team communication.
• Strong hands-on experience with Python, Flask, and SQLAlchemy, Pandas, NumPy;
• Proficiency with Docker and Kubernetes;
• Expertise in software architecture and design patterns, with a proven track record of solving complex technical and performance problems;
• Strong understanding of algorithmic complexity, optimization techniques, and best practices for designing efficient algorithms to solve complex problems;
• Proven ability to handle complex, loosely defined business logic and structure intricate processes cleanly;
• Solid grasp of software architecture and design patterns, with a track record of solving complex technical and performance problems;
• Autonomous in architectural decision-making, comfortable owning hard problems end to end;
• Bonus points if you’ve worked in medical or sports domains.

Why Solid Software?
 

• We support Ukraine;
• A wonderful team of enthusiasts and like-minded people;
• Atmosphere of comfortable work & life balance;
• Flexible schedule and work-from-home opportunity;
• Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
• MacBook Pro and great tech;
• Decent compensation;
• Lack of bureaucracy;
• Compensation for professional events, sports activities;
• Corporate online parties and fun team-buildings;
• Anniversary and birthday presents.
 

Professional growth:
 

• Onboarding and mentorship program with a dedicated onboarding guide built by our team;
• Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
• Corporate library with the best programming books (+ an ability to order a particular book if we don’t have it);
• Professional and constant feedback.
 

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team.
 

Apply now and help us shape what comes next!

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

Augmenting Advertising Intelligence. For more information, visit mint.ai.

The Role

We are looking for a skilled API Developer to collaborate with us on a consultancy basis.

In this role, you will craft and maintain the backbone of software interactions.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Development of components and applications in Python / FastAPI / Django;
• Maintenance of existing applications;
• Tasks estimation;
• Writing unit tests;
• Writing technical documentation and reports;

This role will be a great fit if you have:

• 3+ years of experience with Python;
• Experience with Django;
• Experience with FastAPI;
• Experience with AsyncIO;
• Experience with Celery;
• Knowledge of Kafka;
• Knowledge of SQL and NoSQL databases;
• Knowledge of Docker;
• Understanding of the HTTP protocol and RESTful APIs;
• Command of Linux/UNIX environment (shell, scripting, tools);
• Passione for Testing (Unit and Integration Testing);
• Good English proficiency

Ideally, you'll also have:

• Experience with the DDD approach and Hexagonal Architecture;
• Experience with microservices;
• Experience with integrating third-party services;
• Knowledge of Go/Scala/JS

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the API Developer Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

Typical base salary pay range:

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.