Hiring AI Engineer | LLM, RAG & AI Agents
Hiring AI Engineer | LLM, RAG & AI Agents
cmc global company limited.3-5 Years
- Posted 8 hours ago
- Be among the first 10 applicants
Job Description
We're looking for an AI Engineer to build and scale production-grade solutions powered by LLMs, Generative AI, and Agentic AI.
This role is for someone who enjoys going beyond experimentation — turning new AI capabilities into reliable, measurable, and scalable products.
YOUR RESPONSIBILITIES
- Design and build Agentic AI systems with planning, memory, tool use, multi-agent orchestration, evaluation, and guardrails.
- Develop and optimize LLM, RAG, and multimodal AI applications across text, documents, vision, and audio.
- Design prompt/context strategies, retrieval & reranking, structured outputs, and tool interfaces.
- Build robust AI evaluation and regression frameworks to continuously improve quality.
- Optimize latency, cost, throughput, and reliability through caching, batching, model routing, and token optimization.
- Stay current with AI research and open-source technologies, and contribute knowledge and improvements to the team.
WHAT WE'RE LOOKING FOR
- 3+ years of experience in AI/ML/NLP or related fields.
- Strong hands-on experience with LLMs, RAG, AI Agents, Fine-tuning, and Prompt/Context Engineering.
- Experience bringing AI solutions from PoC to production.
- Strong analytical, problem-solving, and system design skills.
- Ability to read research papers and translate ideas into practical solutions.
- Good English communication skills.
WHY JOIN US
- Work on real-world LLM & Agentic AI projects
- Collaborate with international teams and clients
- Explore and apply the latest AI technologies and research
- Grow toward Senior AI Engineer / AI Architect / AI Tech Lead
Interested Send your CV to: [Confidential Information]
More Info
Key Skills
Generative AI
LLMs
tool interfaces
token optimization
model routing
batching
retrieval reranking
prompt context strategies
regression frameworks
structured outputs
Agentic AI
RAG
multimodal AI applications
