#SGunited Jobs Senior AI Engineer

Job Summary

You will design, develop, and maintain AI-driven workflows and integrations, collaborating with architects and engineers to deliver secure, scalable enterprise AI solutions that enhance user experience and operational efficiency.

Responsibilities

• Build end-to-end AI, software, and automation workflows to meet enterprise needs
• Develop and maintain AI solution integrations with enterprise systems using APIs, MCP, and related frameworks
• Collaborate with architects to define solution approaches and partner with software engineers for seamless system integration
• Enhance and maintain user interfaces to improve usability and support continuous improvement
• Design hybrid solutions combining backend, frontend, large language models (LLM), prompting, and robotic process automation (RPA) for human-in-the-loop workflows
• Maintain middleware components including single sign-on (SSO), authentication, and authorization mechanisms
• Monitor production AI solutions by tracking KPIs and proactively resolving performance and reliability issues
• Implement security best practices, establish fallback and backup strategies, and mitigate risks in AI deployments
• Continuously enhance existing solutions by integrating relevant AI capabilities across enterprise, consumer, IT, network, and corporate functions domains
• Support and optimize marketplace recommender systems by integrating updated offers and business rules smoothly
• Monitor, troubleshoot, and improve production pipelines, backend and frontend applications, and AI services for reliability, performance, and scalability
• Stay current with AI and agentic AI advancements and conduct applied research to enrich internal capabilities
• Apply software engineering standards including modular code design, reproducibility, and rigorous testing
• Address novel problems requiring research and development to create innovative AI solutions
• Balance process and approval management with project timelines to ensure timely delivery

Preferred competencies and qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field
• 3-5 years of experience developing and deploying software and AI solutions, including exposure to agentic AI frameworks
• Proficiency in Python, TypeScript/Node.js, and SQL for software development
• Hands-on experience with AI frameworks such as LangChain or LangGraph
• Knowledge of LLM integration and orchestration techniques
• Experience in prompt engineering for AI models
• Skilled in API development and integration, including RESTful, gRPC, and MCP protocols
• Familiarity with middleware systems including SSO and access control protocols like OAuth2 and JWT
• Experience with version control systems such as GitHub, GitLab, or Bitbucket
• Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform
• Passion for applied research and development to advance AI capabilities and innovate production solutions
• Strong problem-solving skills demonstrated through effective collaboration across cross-functional teams
• Experience building secure, enterprise-grade system integrations