Full Stack Engineer (AI & GenAI)
Build Intelligent Applications. Deliver Enterprise AI.
At Rhino Partners, we help organisations modernise critical systems and accelerate AI adoption by delivering scalable software and high-performing engineering teams. We're looking for a Full Stack Engineer with strong software engineering fundamentals and hands-on experience building Generative AI and agentic applications to support an enterprise AI transformation programme.
In this role, you'll maintain and enhance an existing enterprise application while designing and deploying AI-powered solutions that integrate Large Language Models (LLMs) with enterprise systems through modern APIs, agentic workflows, and cloud-native technologies.
What You'll Be Doing
Full Stack Software Development
- Design, develop and maintain secure, scalable, and high-performance web applications across frontend, backend and cloud environments.
- Build modern user interfaces using Next.js, React, TypeScript and Tailwind CSS.
- Develop backend services, APIs and integrations using Python and modern software engineering best practices.
- Design, optimise and maintain relational, NoSQL and vector databases for enterprise applications.
- Deliver production-ready software through Agile methodologies, CI/CD pipelines, automated testing and DevOps practices.
- Ensure applications meet high standards for security, performance, reliability and maintainability.
Application Support & Enhancement
- Take ownership of an existing enterprise application following knowledge transfer.
- Perform ongoing maintenance, troubleshooting, bug fixes and feature enhancements.
- Optimise application performance and resolve production issues.
- Continuously improve application reliability, scalability and user experience.
AI Solution Development
- Design and build enterprise AI applications powered by Large Language Models (LLMs).
- Develop intelligent agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen.
- Build Retrieval-Augmented Generation (RAG) solutions leveraging vector databases and semantic search.
- Develop MCP-based integrations connecting AI models with enterprise applications, APIs and data sources.
- Implement AI guardrails, monitoring, evaluation and observability for production-grade GenAI applications.
- Translate business requirements into secure, scalable AI solutions ready for enterprise deployment.
Cloud & Platform Engineering
- Develop and deploy cloud-native applications on AWS.
- Build serverless solutions using AWS Lambda, API Gateway, IAM, S3 and CloudWatch.
- Work with AWS Bedrock to integrate foundation models such as Anthropic Claude, including Knowledge Bases, Agents and Guardrails.
- Implement secure authentication, API security, secrets management and cloud best practices.
- Support deployment pipelines and infrastructure automation across cloud environments.
What We're Looking For
Required Skills & Experience
- Diploma or Degree in Computer Science, Information Technology, Engineering or a related discipline.
- Strong experience building full stack web applications in enterprise environments.
- Proficiency with:
- Python
- Next.js
- React
- TypeScript
- Tailwind CSS
- Experience developing RESTful APIs and microservices.
- Strong understanding of software engineering fundamentals including clean code, design patterns, automated testing and Git.
- Experience working with relational databases, NoSQL databases and vector databases.
- Hands-on experience with Docker, containerisation and CI/CD pipelines.
- Knowledge of secure software development, authentication, authorisation, API security and OWASP best practices.
Generative AI Experience
- Experience building AI agents or multi-agent systems using frameworks such as:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
- Experience developing Retrieval-Augmented Generation (RAG) applications.
- Experience integrating LLMs with enterprise systems through MCP or similar integration frameworks.
- Knowledge of prompt engineering, LLMOps, AI evaluation and observability tools such as LangSmith.
- Understanding of responsible AI principles, AI governance and production AI deployment.
Cloud Experience
- Hands-on experience with AWS cloud services including Lambda, API Gateway, IAM, S3 and CloudWatch.
- Experience using AWS Bedrock and foundation models in enterprise AI applications.
- Experience deploying secure cloud-native applications.
- Experience with Government Commercial Cloud (GCC) is an advantage.
Nice to Have
- Experience supporting enterprise AI platforms in production.
- Exposure to monitoring and observability platforms.
- Experience working on Government or public sector projects.
- Familiarity with Agile, DevSecOps and Infrastructure-as-Code practices.
Why Join Rhino Partners
- Build real-world enterprise AI solutions using the latest GenAI technologies.
- Work with cutting-edge LLMs, AI agents and cloud-native architectures.
- Join a collaborative engineering team delivering impactful digital transformation projects.
- Opportunity to work on high-profile enterprise and public sector initiatives.
- Flexible, Agile environment focused on continuous learning and innovation.
