AI Engineer - LLM & AI Agent
Posted Updated
Job Responsibilities:
- Design, develop, and improve LLM-based applications, RAG systems, AI assistants, and agentic AI solutions for product and enterprise use cases.
- Develop proactive and interactive AI agents that can understand user requests, retrieve information, use tools, execute workflows, and interact through text or voice.
- Build and optimize core capabilities such as document ingestion, information retrieval, prompting, tool calling, agent orchestration, memory, and human-in-the-loop control.
- Integrate AI agents with devices, internal systems, databases, APIs, document repositories, and third-party services.
- Evaluate and apply appropriate technologies, including LLMs, speech models, vector databases, retrieval methods, knowledge graphs, and agent frameworks.
- Define and implement evaluation methods for retrieval quality, response accuracy, faithfulness, task completion, latency, reliability, and safety.
- Implement secure and reliable AI application patterns, including access control, permission-aware retrieval, guardrails, monitoring, and failure handling.
Requirements:
- Bachelor’s degree or above in Computer Science, AI, Machine Learning, NLP, Data Science, Engineering, or a related field.
- At least 2 years of relevant experience in LLM applications, information retrieval, RAG, AI agents, NLP, or AI application development.
- Strong Python programming skills and experience developing maintainable applications or backend services.
- Hands-on experience with LLM APIs, open-source LLMs, embeddings, vector databases, semantic search, or retrieval systems.
- Practical understanding of RAG architecture, prompt engineering, retrieval strategies, evaluation, and hallucination mitigation.
- Experience with tool calling, function calling, agent workflows, APIs, databases, or backend integration.
- Ability to independently design and deliver end-to-end LLM, RAG, AI agent, or AI application projects
Interested applicants, please send your updated resume MS Word to hres@itcspl.com.
Please Indicate Job Code “101 - AI Engineer” on the email subject
We regret that only shortlisted candidates will be notified.
John Bryan (Reg No. R1106648)
IT Consultancy & Services Pte Ltd
EA No: 92C5311
Please visit www.itcspl.com to learn more information about ITC