REQ TECHNOLOGY CONSULTING PTE. LTD. Hiring! Full Time AI Engineer in - Ricebowl

Req Technology Consulting

About Us

Founded in 2008 with a core expertise in database technologies, Req Technology Consulting, has grown into a premier technology consulting firm specializing in cloud, data, and AI solutions. Highly recognized for our technical excellence—including being named one of the "25 Most Promising Oracle Solution Providers" by APAC CIO Outlook—we partner with clients across industries to design, build, and operate scalable, secure, and data-driven platforms. Today, we leverage this strong infrastructure foundation to drive continuous innovation, helping organizations modernize their digital ecosystems and maximize the value of their data.

We foster a collaborative and inclusive work environment where continuous learning, technical mastery, and creative innovation are deeply encouraged. As we aggressively expand our capabilities into data analytics and cutting-edge AI fields for our business, we are looking for talented professionals who are passionate about working with the latest technologies, solving complex business challenges, and building the next generation of intelligent systems.

Role Overview

We are seeking an AI Engineer to design, prototype, and enhance AI-powered applications on our product platform. This role is suitable for fresh graduates or early-career engineers who are technically grounded, curious, and eager to apply AI in real-world production environments. You will collaborate with product, engineering, and business stakeholders to translate requirements into reliable, scalable AI solutions.

Responsibilities

AI Application Development

• Develop AI-enabled applications using LLMs, agents, and RAG architectures
• Build and integrate chat-based, voice-enabled, and AI agents
• Apply prompt engineering, tool calling, and multi-agent orchestration
• Prototype and refine AI workflows using modern AI frameworks
• Continuously improve solution quality, accuracy, and performance

Full-Stack Engineering

• Develop frontend interfaces for applications and demonstrations(React / Next.js or similar frameworks)
• Build backend APIs and services using Node.js, Python, or FastAPI
• Integrate databases, vector stores, and cloud services
• Connect AI solutions with enterprise systems

POC, Demo & Product Support

• Develop structured proofs of concept and customer demonstrations
• Support client-specific configurations and controlled experiments
• Transition successful POCs into maintainable, reusable product features
• Troubleshoot issues, optimize system performance, and improve reliability

Platform & Engineering Collaboration

• Work closely with cross-functional teams to convert use cases into technical solutions
• Contribute to shared components, platform architecture, and engineering standards
• Document designs, patterns, and implementation approach

Key Technical Skills & Responsibilities

Must-Have

• Strong fundamentals in software engineering (data structures, APIs, web applications)
• Experience with full-stack development (frontend and backend)
• Hands-on exposure to LLMs / Generative AI APIs (OpenAI, Anthropic, etc.)
• Proficiency in JavaScript / TypeScript or Python
• Experience designing and consuming REST APIs
• Familiarity with Git and standard development workflows
• Ability to work independently, manage tasks, and take ownership
• Strong analytical and problem-solving mindset

Good to Have (Not Mandatory)

• Experience with RAG architectures and vector databases (Pinecone, Milvus, FAISS, etc.)
• Familiarity with LangChain, LlamaIndex, or similar frameworks
• Exposure to Voice AI (speech-to-text, text-to-speech, telephony APIs)
• Experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of Docker or basic DevOps practices
• Academic projects, internships, hackathons, or deployed applications

Eligibility Criteria:

• Fresh graduates or candidates with 0–3 years of experience in software or AI engineering
• Degree in Computer Science, Engineering, AI, or related disciplines
• Demonstrated interest in applied AI through coursework, projects, or hands-on experimentation
• Ability to work in a structured, professional engineering environment
• Clear communication skills and ability to collaborate across teams
• Strong motivation to continuously learn and grow professionally

Benefits:

• Health insurance
• Professional development
• Promotion to permanent employee

License/Certification:

• work authorization in Singapore without company sponsorship? (Required)

Work Location: In person