Senior Software Engineer ( Java Full-Stack / AI)

6+ years of professional software engineering experience (full-stack)

Strong proficiency in Java and hands-on experience designing and building microservices architectures (Spring Boot or equivalent)

Solid track record of building RESTful API endpoints that are clean, secure, and maintainable

Front-end experience with Angular or React able to build clean, responsive UIs

Experience building RAG (Retrieval-Augmented Generation) applications or pipelines

Strong working knowledge of prompt engineering few-shot, one-shot, and chain-of-thought used on a day-to-day basis

Solid mental model of how LLMs behave (considered baseline for senior engineers today)

Comfortable with vibe coding and AI coding assistants (e.g., Claude Code, Cursor, Copilot), paired with strong underlying technical judgment

Strong grasp of relational and/or NoSQL databases and data modeling

Comfortable working in Agile teams and delivery processes

Design, build, and maintain scalable microservices and RESTful APIs

Build responsive front-end features and own them alongside the backend

Develop agentic AI features, including RAG pipelines and MCP-based integrations that let LLMs securely interact with our data, tools, and services

Apply prompt engineering techniques (few-shot, one-shot, chain-of-thought) as part of day-to-day development

Make pragmatic architecture and design decisions, weighing trade-offs around scale, cost, and maintainability

Write clean, well-tested code and participate actively in code reviews

Collaborate with product and cross-functional teams to turn requirements into working software

Help set engineering standards and mentor other developers where it adds value

Were growing our core engineering team and looking for seasoned Senior Software Engineers to take ownership of building and scaling our platform end to end. Youll design and ship microservices in Java, build clean REST APIs, own front-end features, and increasingly work on agentic AI capabilities that connect large language models to our enterprise systems.

This is a hands-on full-stack role for someone with strong engineering fundamentals who already builds with modern AI tooling and is curious about where its headed. We value engineering depth and learning speed over years spent on any single emerging protocol.