LLM Engineer — Build AI Prototypes & APIs

Tata Consultancy Services; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tata Consultancy Services in Singapore invites an ambitious AI software engineer to join our team. You will work on cutting-edge AI solutions leveraging LLMs and VLMs, building and integrating systems with a focus on scalable APIs and real-world impact.

The role emphasizes hands-on model training, prompt engineering, and collaboration with clients and stakeholders to shape AI-enabled offerings. You will gain exposure to RAG, Agentic concepts and practical Python development in a global leader

Qualifications

• Graduated from an educational pathway in Computer Science, Data Science, AI, Software Engineering, or a related field.
• Understanding of REST APIs, databases, and modern web application architecture.
• Familiarity with Generative AI, LLMs, or AI application frameworks.
• Strong communication and presentation skills, with the ability to engage confidently with clients and business stakeholders.
• Prior experience in client-facing projects, consulting engagements, hackathons, research projects, or internships is preferred.
• Strong problem-solving mindset and eagerness to learn new technologies.

Responsibilities

• Build and integrate LLM-based solutions, using open-source models.
• Build and maintain APIs for AI prototypes.
• Perform prompt engineering to tailor LLM's to suit specific use cases.
• Train models to improve performance.
• Provide feedback to enhance product.

Skills

Python

LLMs / Generative AI

REST APIs

Databases

Client engagement

Education

Bachelor's degree in Computer Science, Data Science, AI, Software Engineering

Tools

APIs

Web architecture

Job description

Tata Consultancy Services in Singapore invites an ambitious AI software engineer to join our team. You will work on cutting-edge AI solutions leveraging LLMs and VLMs, building and integrating systems with a focus on scalable APIs and real-world impact.

The role emphasizes hands-on model training, prompt engineering, and collaboration with clients and stakeholders to shape AI-enabled offerings. You will gain exposure to RAG, Agentic concepts and practical Python development in a global leader