Lead Agentic AI Engineer for Scalable Autonomous Systems

NDA; Dublin; On-site; EUR 150,000 - 190,000; Full time

Job summary

NDA is creating global autonomous AI systems that plan, reason, use tools, and act for millions of users. This contract role focuses on designing and deploying production-grade agentic architectures with planning, memory, orchestration, and multi-agent collaboration.

You will optimize inference, build RAG pipelines, and develop evaluation frameworks to ensure reliability, safety, and scalability across real-world datasets.

Qualifications

• Proficient Python in production-grade systems.
• Hands-on with LLM-powered agents and orchestration layers.
• Delivery of production RAG systems with vector databases.
• Knowledge of LLM inference, batching, and GPU memory trade-offs.
• Experience with prompt engineering and function/tool calls.

Responsibilities

• Design, build, and deploy agentic AI systems with planning and multi-agent collaboration.
• Architect RAG pipelines for large real-world datasets to reduce hallucinations.
• Optimize LLM inference for latency, throughput, and cost at scale.
• Build evaluation frameworks for reliability, safety, and quality.

Skills

Python

LLM agents

Distributed systems

Prompt engineering

Cloud & MLOps

Tools

LangGraph

LlamaIndex

AutoGen

CrewAI

vLLM/TensorRT-LLM

Job description

NDA is creating global autonomous AI systems that plan, reason, use tools, and act for millions of users. This contract role focuses on designing and deploying production-grade agentic architectures with planning, memory, orchestration, and multi-agent collaboration.

You will optimize inference, build RAG pipelines, and develop evaluation frameworks to ensure reliability, safety, and scalability across real-world datasets.