Kerja Sepenuh Masa, Forward Deployed Software Engineer (GenAI - Agentic Solutions) (1 Year Contract) di Rhino Partners - Maukerja

Rhino Partners is seeking an experienced, product-minded Forward Deployed Software Engineer to deliver enterprise Generative AI (GenAI) and agentic automation solutions.

In this role, you will work closely with business stakeholders to understand operational challenges, identify opportunities for AI-driven transformation, and develop practical solutions using an established enterprise GenAI platform.

You will take ownership of the end-to-end delivery lifecycle, from business discovery and rapid prototyping to production deployment, user adoption, and handover. The role requires strong software engineering fundamentals, hands-on experience with LLM applications and agentic frameworks, and the ability to translate ambiguous business requirements into reliable, secure, and scalable solutions.

• Partner with business units to understand workflows, pain points, data requirements, and business objectives, translating these into prioritised use cases and technical solutions.
• Design, develop, and deploy GenAI applications and agentic workflows using Python, LangGraph, LangChain, n8n, or equivalent frameworks.
• Build rapid prototypes, validate solutions with business users, and iteratively refine them for production deployment.
• Develop secure and scalable backend services, RESTful APIs, system integrations, and custom applications using technologies such as Python, FastAPI, and PostgreSQL.
• Implement AI workflows incorporating LLM reasoning, tool calling, state management, human-in-the-loop approvals, and exception handling.
• Design and integrate data ingestion pipelines, relational databases, enterprise document repositories, APIs, and vector search services to support retrieval-augmented generation (RAG) and knowledge-based applications.
• Establish evaluation frameworks to assess AI solution quality, accuracy, reliability, latency, cost, and tool-call performance.
• Implement application monitoring, tracing, logging, and observability to support continuous improvement and production reliability.
• Apply secure engineering practices, including access controls, data protection, prompt-injection defences, auditability, and responsible AI principles.
• Manage production readiness, testing, deployment, documentation, user enablement, and knowledge transfer.
• Collaborate with platform engineering teams to develop reusable components and improve enterprise AI capabilities.

• Minimum 5 years of professional software engineering experience, with demonstrated ownership of applications from requirements gathering through production deployment and support.
• Strong proficiency in Python or another modern backend programming language, with solid experience in API development, asynchronous processing, system integration, testing, and debugging.
• Hands-on experience developing GenAI applications, RAG solutions, LLM-powered agents, or AI-driven automation workflows.
• Practical experience with agentic frameworks and orchestration tools such as LangGraph, LangChain, LlamaIndex, n8n, or equivalent technologies.
• Strong experience with relational databases, preferably PostgreSQL, including data modelling, query optimisation, and database integration.
• Working knowledge of data pipelines, search technologies, and vector retrieval.
• Experience deploying and operating cloud-native applications on AWS, Azure, or Google Cloud.
• Familiarity with AWS services such as Amazon Bedrock and OpenSearch is preferred.
• Good understanding of software architecture, application security, performance optimisation, and production support.
• Strong communication and stakeholder management skills, with the ability to engage directly with business users and translate requirements into technical deliverables.
• Ability to work independently in ambiguous environments, manage competing priorities, and deliver solutions with measurable business outcomes.

• Experience in forward-deployed engineering, technical consulting, solutions engineering, or end-to-end product delivery.
• Experience with workflow automation platforms such as n8n or Flowise, including custom nodes, API integrations, and credential management.
• Familiarity with LLM evaluation, observability, tracing, red-teaming, and AI quality assurance tools.
• Experience implementing AI security controls, responsible AI practices, and human-in-the-loop workflows.
• Experience delivering applications in government or regulated environments, including familiarity with Singapore Government IM8 policies.