#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