Applied AI Engineer
Summary
The Applied AI Engineer will build and deploy end-to-end AI features by integrating machine learning models into production systems. The role involves optimizing model performance, designing agent workflows, and ensuring reliability using technologies like Python, PyTorch, JAX, and LLMs.
As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.
Job Duties:
- Build and ship AI features end-to-end (model → system → user experience)
- Design and iterate on prompts, tools, memory, and agent workflows
- Turn raw model outputs into structured, reliable, and predictable behaviors
- Debug issues across the full stack (model, orchestration, infra, UX)
- Optimize for latency, cost, and production reliability
- Develop lightweight evaluation frameworks to measure real-world performance
- Work closely with product and engineering to translate ambiguous problems into working systems
- ML models in production meet expected accuracy, latency, and reliability targets.
- Production issues are identified quickly, debugged effectively, and root causes addressed.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- Iterations on models and systems are driven by real-world signals and measurable improvements.
Technical experience/Requirements:
Python, PyTorch / JAXLLMs (OpenAI-style APIs, LLaMA, Qwen, etc.), Inference / serving (e.g. vLLM), Vector DB
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience with training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across abstraction layers (model → infra → product)
- Strong problem-solving skills in ambiguous, fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
Interested Candidates may apply directly to Patrina@eps.com.sg (Reg ID: R1103695) for immediate processing
EPS Consultants Pte Ltd | 95C5630