Full Stack Engineer

We are seeking a mid-level or senior Full Stack Engineer with AI engineering experience to join Client technology team. This role emphasizes Angular front-end development, Java and Spring Boot backend engineering, RESTful APIs, and CI/CD automation, while applying LLM capabilities to deliver AI-driven user experiences. The engineer will design, build, test, deploy, and operate secure, high-quality applications across the full stack, collaborating with product, architecture, cybersecurity, and business teams to ship reliable features.
Key Responsibilities
Design AI applications leveraging LLMs for natural-language interaction, intelligent search, summarization, content generation, and workflow automation.
Develop RAG solutions that securely connect models to enterprise data using embeddings, vector search, metadata filtering, citations, and access controls.
Integrate model APIs with secure prompt management, structured outputs, tool/function calling, context management, and streaming responses.
Create evaluation datasets and automated tests for answer quality, groundedness, safety, latency, reliability, and cost;
leverage telemetry and user feedback for improvements.
Build Angular interfaces and data visualizations for risk, metric, policy, and control information.
Design scalable services using Java, Spring Boot, RESTful APIs, and microservices with authentication and authorization.
Use AI coding assistants responsibly for code exploration, implementation, refactoring, test generation, debugging, review, and documentation.
Apply best practices including code review, automated testing, CI/CD, observability, secure development, performance tuning, and production support.
Collaborate with stakeholders to identify high-value use cases and translate requirements into measurable technical outcomes.
For senior candidates: Lead solution design, mentor engineers, influence standards, assess trade-offs across model quality, latency, cost, security, and maintainability, and drive delivery across teams.
Required Qualifications
5+ years of software engineering experience, including delivery of production AI-enabled applications.
Strong full-stack development with Angular/TypeScript, Java/Spring Boot, RESTful APIs, distributed systems, and secure application design.
Practical experience with LLM application patterns, model APIs, RAG, embeddings, vector search, prompt design, structured outputs, tool calling, evaluation, observability, and AI security.
Hands-on use of Claude, GitHub Copilot, or comparable AI coding assistants with disciplined review, testing, and security practices.
Strong CI/CD and DevOps experience covering automated builds, testing, deployment, release controls, and monitoring;
familiarity with Docker, Kubernetes, and cloud-native platforms preferred.
Experience with Python, SQL/NoSQL databases, data integration, caching, and data-intensive applications.
Strong problem-solving, communication, and stakeholder-management skills.
Preferred Qualifications
Senior candidates: Architecture leadership, delivery ownership, and mentoring experience.
Familiarity with cloud-native platforms and advanced DevOps practices.
Certifications (if any)
SAP Service, Customer Service, PM, or related certification (preferred but not required).
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