AI Engineer

What You Will Do

Operationalise AI/ML models and GenAI applications using platforms such as Azure ML, MLflow, Databricks, and Kubeflow;

Design, build, and maintain production-grade AI services and APIs in Python (e.g.

FastAPI), including testing, versioning, and release strategies;

Develop, deploy, and optimise ML models using libraries such as scikit-learn, TensorFlow, PyTorch, and Hugging Face;

Design and implement GenAI solutions, including Retrieval Augmented Generation (RAG) and agent-based workflows, using frameworks like LangChain, Hugging Face, AI Foundry, and vector databases;

Improve retrieval quality through chunking strategies, hybrid search, metadata filtering, reranking, and evaluation;

Define and implement LLM evaluation frameworks and quality gates, including offline and online testing, regression testing, and RAG metrics;

Implement monitoring, observability, and incident troubleshooting for LLM applications, including tracing, prompt management, and version control;

Design and enforce guardrails and security controls for GenAI solutions, addressing risks such as prompt injection and data exfiltration.

What you are like

Highly proficient in AI, ML, and software engineering, with hands-on experience taking models from experimentation to production;

Experienced with Microsoft Azure services, including Azure ML, Azure DevOps, Functions, and managed identity patterns;

Comfortable working with Databricks and Spark-based workloads, including orchestration of pipelines and clusters;

Skilled in containerisation and orchestration using Docker and Kubernetes (AKS);

Proficient in CI/CD practices and tooling such as Azure DevOps, GitHub Actions, or GitLab;

Knowledgeable in Infrastructure as Code using tools like Terraform, Bicep, or Pulumi;

Familiar with MLOps and LLMOps frameworks, including MLflow, Azure ML, and Kubeflow;

Hands-on with the GenAI ecosystem, including RAG, prompt tuning, LLM evaluation, and vector databases;

Clear and effective communicator, with English proficiency at B2 level or above.

Why join us

Work on challenging projects for big clients

Learn more about emerging technologies

Possibility of working remotely

Design your career plan

Access to continuous training and certifications

Evolve through our internal mobility programme

• � and much more!

To apply:

Please send your CV to talent.pt@neotalentconclusion.com with BDP_AI in the email subject.