Senior Python Engineer (AI Platform Services)

N-iXAI platform services

Workplace type: remote; Locations: Kraków, Zabłocie 43A, Kraków, Country code: PLFull-TimeSenior

Salary6000 - 6300 USD per month net b2b

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Job Details

Required Skills: AWSGraphQLPostgreSQLPythonDynamoDBMySQLTypeScriptRESTful APIs

Have experience making significant contributions to production backend systems, APIs, or services.
Use agentic development deliberately to explore, build, and deliver projects, and be able to articulate effective practices.
Have strong experience with TypeScript and Python for server-side application development.
Have experience designing, building, and integrating GraphQL and REST APIs.
Have experience with relational databases such as PostgreSQL or MySQL and NoSQL systems such as DynamoDB or Cloud Firestore.
Have experience building and operating serverless functions with AWS Lambda or Cloud Run functions.
Have experience with automated testing, debugging, and production support for distributed or service-based systems.
Be familiar with Git-based collaboration and continuous-integration workflows.
Have strong communication skills and a constructive approach to pull-request reviews and peer mentorship.
Nice to have: experience with GCP services including Cloud Run, GKE, Pub/Sub, and Cloud SQL.
Nice to have: experience with authentication, search, cloud infrastructure, messaging, queues, and event-driven architectures.
Nice to have: experience building services for AI-enabled products and data-intensive workflows, observability tools, external API integrations, and MCPs.

Build and evolve backend services, GraphQL and REST APIs, and integrations for customer-facing and internal applications.
Design and maintain API contracts and data-access patterns for application workflows.
Work with relational and NoSQL databases to deliver dependable, scalable application behavior.
Build asynchronous and event-driven processing where it improves product workflows and system resilience.
Improve testing, observability, performance, and operational readiness for owned systems.
Own substantial work from implementation through deployment, production support, and incremental improvement.
Partner with frontend engineers, product, design, and data teams to deliver product capabilities.
Contribute to code reviews, shared engineering practices, and peer learning.

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