AI Engineer
Core
Build and deploy AI solutions, including LLMs and agentic systems, to solve complex problems for clients and citizens in the public and private sectors.
Role type
Senior AI Engineer (LLM & Agentic Systems / MLOps)
Builds
Production AI models, agentic workflows, and data pipelines for government and enterprise clients
Domain
Digital transformation, AI, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM development, agentic system design, prompt engineering, model fine-tuning, MLOps lifecycle management, serverless computing, containerization, CI/CD, cloud services (AWS/Azure/GCP), NLP, computer vision, time series forecasting
Preferred skills
Multi-agent systems, tool-use, RAG pipelines, autonomous task execution, responsible AI evaluation, hyperparameter tuning, reproducible training workflows
Technologies
LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Azure ML, Hugging Face Transformers, MLFlow, Dataiku, MS Fairlearn, Google PAIR, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, Docker, Kubernetes, Terraform, Ansible, Datadog, Kubeflow, Weights & Biases
Responsibilities
Develop and maintain relationships with clients, colleagues, and partners; continuously invest in building and extending knowledge and skills; deliver transformative change through AI engineering and governance
Seniority
Senior, hands-on IC
