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Grid Dynamics is seeking a Senior Backend / GenAI Engineer (contractor) who will stay deeply hands-on while guiding engineering squads. You will design and ship secure backend services, integrating GenAI, RAG, and AI-powered tooling across cloud-native platforms.
The role is 80% hands-on coding and 20% technical leadership, requiring 8–12 years of software experience and strong Java/Spring Boot skills. Collaboration across distributed teams is essential for success.
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.
We are seeking a Senior Backend / GenAI Engineer for a contractor, hands-on individual contributor lead role. This position is ideal for an experienced engineer who remains deeply hands-on in code while also providing technical direction, mentoring, and delivery leadership for engineering squads or workstreams.
The role is approximately 80% hands-on engineering and 20% technical leadership. The successful candidate will design, build, and ship secure, scalable backend services while helping the team adopt modern GenAI, AI-agent, and AI-assisted software development practices. This engineer will work across backend platforms, cloud-native systems, distributed services, and production-grade AI integrations, including LLM-powered applications, RAG, Agentic RAG, AI agents, multi-agent systems, workflow orchestration, and AI-assisted development tooling.
8-12 years of total software engineering experience