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GlobalLogic is seeking a Senior Full Stack Developer to build scalable web applications using C#/.NET Core and React.js, with a focus on AI-enabled solutions. You will design backend services, create robust UI components, and align technical decisions with customer requirements across automotive, healthcare and logistics domains.
This role offers a collaborative environment with opportunities for professional development and growth within our global centers and client facilities.
Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.
Looking for a Senior Full Stack Developer (6-10 yrs) to build scalable web applications using C# / .NET Core and React.js, with a focus on AI-enabled solutions. The candidate will architect backend services, build modern user interfaces, and systematically design, evaluate, and optimize workflows.
6-10 years of professional software development experience in enterprise full-stack environments.
Strong mastery of C#, .NET Core / .NET 8, ASP.NET Core, and React.js / TypeScript.
Solid expertise in SQL Server, REST APIs, Microservices, Git, and Azure / AWS cloud practices.
Experience with databricks
Demonstrated ability to account for edge cases, build robust error handling, and define core technical metrics.
Claude Experience: Hands-on experience with Anthropic Claude API / Claude SDK is preferred; experience with OpenAI, Azure OpenAI, Gemini, Bedrock, Llama, or similar platforms is equally acceptable.
Prompt Lifecycle Management: Proven skill in prompt engineering, evaluating LLM outcomes, and refining model behaviors targeted for AI SDLC.
AI Application Architecture: Exposure to RAG pipelines, vector databases (e.g., Pinecone, pgvector), semantic search, or caching techniques.
Full-Stack Engineering: Design resilient APIs, services, and databases using C# / .NET Core (.NET 8) and build responsive frontends in React.js and TypeScript.
Problem Definition: Translate ambiguous business requirements into precise technical specs, mapping out edge cases, failure states, and success metrics across the stack.
Prompt Engineering & Optimization: Write, refine, and evaluate prompts for structured outputs to be used as part of AI first SDLC.
AI Architecture: Integrate AI across the application while effectively balancing deterministic code versus probabilistic AI models.