Senior Python Engineer
Senior Python Engineer
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 Opportunity:
We are partnering with an established international product company expanding its technology platform. The engineering environment involves complex microservices, high-performance backend systems, and data processing at scale. The company strongly supports technical ownership, collaboration, and modern engineering practices, including AI-powered technologies.
About the Role:
We are looking for a Senior Python Engineer to design, scale, and maintain backend services using Python, cloud technologies, and distributed systems. In this hands-on position, you will own technical solutions across the entire delivery lifecycle and influence key engineering decisions.
A core focus of this role is the practical use of AI coding assistants and agents in your daily workflow to drive development efficiency and code quality. While backend engineering is the primary focus, flexibility to occasionally assist with infrastructure or frontend tasks is appreciated.
Key Responsibilities:
Design, build, and maintain Python microservices (FastAPI) and public/internal APIs.
Optimize distributed data flows, service-to-service communication, and messaging systems.
Integrate production AI features (LLMs, prompt-based workflows, AI agents).
Drive system reliability, performance, observability, and automated testing.
Participate in architectural discussions, code/design reviews, and cross-service delivery.
Requirements:
5+ years of backend engineering experience with Python.
Solid understanding of microservices, distributed systems, and API design.
Hands-on experience with AWS (managed services) and Docker.
Experience with asynchronous messaging (e.g., RabbitMQ, SQS, Kafka) and caching systems.
Daily, intensive use of AI development tools/agents as an integral part of your workflow.
Strong ownership mindset, ability to work independently, and Upper-Intermediate+ English.
Nice to Have:
Hands-on experience with LLM integrations (Bedrock, OpenAI, Anthropic).
Knowledge of Kubernetes and CI/CD pipelines.
Background in Cybersecurity, Big Data, or graph-based modeling.
Secondary experience with Frontend (especially Angular).
What We Offer:
Fully Remote work model + powerful workstation (and co-working access if needed).
20 business days of paid vacation + national holidays.
Full legal and accounting support.