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Senior Python Engineer

Chisinau, Moldova

We are seeking a versatile and skilled Python Engineer to join our dynamic team, working across innovative AI, automation, and data-intensive platforms. The ideal candidate is comfortable navigating complex backend systems, building robust APIs and tools, and integrating cloud and AI technologies. Our projects range from AI-powered drug discovery platforms to inventory management tools and test automation systems, so flexibility and problem-solving ability are key.

Essential functions

  • Design, implement, and maintain scalable and maintainable backend systems using Python.

  • Build and optimize RESTful APIs, CLI tools, and automation scripts.

  • Develop and integrate AI/LLM-powered modules (e.g., RAG, prompt engineering, Agentic AI).

  • Work with cloud environments (primarily GCP) and containerized deployments (Docker).

  • Process structured and unstructured data using modern frameworks and vector databases.

  • Implement CI/CD pipelines and DevOps best practices to ensure code quality and rapid delivery.

  • Collaborate with cross-functional teams including frontend, DevOps, product managers, and data scientists.

  • Contribute to architecture decisions, technical leadership, and mentoring within mid-sized agile teams.

Qualifications

  • Proven experience in backend development with Python.

  • Good level of English, both written and spoken, to effectively communicate within a global team.

  • Strong understanding of cloud platforms (GCP / AWS/ Azure).

  • Hands-on experience with Docker, CI/CD tools, and automated deployment workflows.

  • Solid understanding of PostgreSQL, Redis, and other relational or NoSQL databases.

  • Experience in developing CLI tools, automation scripts, or test automation infrastructure.

  • Familiarity with Large Language Models (LLMs) and frameworks such as LangChain or LlamaIndex.

  • Ability to work with YAML/JSON configurations and integrate with external APIs and SDKs.

  • Strong communication skills and ability to work in English-speaking teams.

Would be a plus

  • Experience in Agentic AI systems, RAG architectures, and vector databases.

  • Knowledge of Kotlin/Java or willingness to work across JVM-based stacks.

  • Background in healthcare, regulated industries, or QA automation.

  • Familiarity with Playwright, Selenium, or other E2E test automation tools.

  • Experience with Bash scripting, Kafka, SQLAlchemy, and data pipeline tools.

  • Prior work on platforms in logistics, healthcare, or e-commerce sectors.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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    Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

    All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.