- Design, build, and iterate on AI-powered features — from prototype to production
- Develop and maintain LLM-based pipelines including RAG systems, agents, and prompt engineering frameworks
- Fine-tune, evaluate, and benchmark models for domain-specific tasks
- Build robust backend APIs and microservices that serve AI capabilities at scale
- Collaborate with product and design to translate AI capabilities into intuitive user experiences
- Integrate third-party AI services (OpenAI, Anthropic, Cohere, HuggingFace, etc.) and manage their trade-offs
- Instrument AI systems with monitoring, logging, and evaluation metrics to track quality over time
- Contribute to internal tooling, reusable components, and best practices for AI development
AI / ML:
LLM APIs & prompt engineering
RAG pipelines & vector databases
Model fine-tuning (LoRA, PEFT)
Evaluation frameworks & evals design
Familiarity with ML frameworks (PyTorch / HuggingFace)
ENGINEERING:
Python (primary) + one other language
REST APIs & async backend services
Databases — SQL & vector stores
Docker, cloud infra (AWS / GCP / Azure)
Git, CI/CD, and clean code practices
PRODUCT THINKING:
Ability to scope features independently
Strong written communication
Experience owning features end-to-end
NICE TO HAVE
LangChain, LlamaIndex, or similar
Agentic / multi-agent frameworks
Experience with MLflow or W&B
Frontend exposure (React / TypeScript)
Key Skills
Ranked by relevance
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- Posted
- May 12, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- HCLTech
Industries
Categories
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