Profile

AI Engineer

Develops and implements AI solutions that are genuinely usable, scalable and manageable within the organisation.

Immediately deployable
Works independently
Connects AI, data and business processes

Focus AI Engineering

Seniority Mid – Senior

Availability Interim / Project / Part-time

Way of working Agent-Augmented

Role & focus

Our AI Engineers operate at the intersection of data engineering, software development and applied AI — not focused on isolated experiments or demos, but on AI solutions that run reliably within existing processes and systems.

Where this AI engineer excels

Developing AI and machine learning solutions for concrete business cases
Integrating AI models into existing applications and data platforms
Building scalable AI workflows and automation
Improving the reliability, performance and manageability of AI solutions

What this AI engineer brings

Understands both data infrastructure and AI models
Operates independently within complex technical environments
Combines experimentation with structural implementation
Delivers solutions that remain manageable and scalable

Where this profile adds value

AI prototypes work, but aren't production-ready

We make AI solutions production-ready, stable and manageable.

Models produce inconsistent or hard-to-explain results

We improve the reliability and performance of AI solutions.

AI solutions sit apart from existing systems and data

We integrate AI models into existing applications and data platforms.

There's a need for governance, monitoring and reliability

We build in governance and monitoring from the design stage, not as an afterthought.

Teams lack the knowledge to implement AI at scale

We build scalable AI workflows and automation.

Organisations want to use AI practically, without creating extra complexity

We keep solutions practical and manageable, without adding unnecessary complexity.

What you can expect from Full Orbit

We don't just place our consultants and walk away — we stay involved throughout the engagement.

Our way of working

Careful matching based on expertise and team fit
Personal intake ahead of every engagement
A single point of contact throughout the collaboration
Knowledge sharing within the Full Orbit team

Flexibility in the collaboration

Available on an interim, project or part-time basis
Scale up or down by agreement
Careful handover and documentation at completion
Agent-Augmented way of working for extra impact

Human expertise, empowered by AI Agents

Faster from prototype to production

AI Agents help with testing, validating and documenting, so the engineer can focus on architecture and integration.

Quality and reliability safeguarded

Monitoring and validation checks run continuously within the AI workflow, not as a separate step afterwards.

Less manual implementation work

Recurring integration and deployment tasks are largely automated.

The engineer stays in control

Architectural decisions and stakeholder dialogue remain human work — AI Agents support, they don't take over.

AI & ML frameworks OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch

Vector & AI tooling Pinecone, ChromaDB, Weaviate

Data platforms Databricks, Snowflake, Microsoft Fabric

Cloud platforms Azure, AWS, OCI

How we work

Introduction

We discuss your challenge, the role required and the context the consultant will be working in.
Match & proposal

We put forward a consultant who fits the required expertise and your way of working.
Start & onboarding

The consultant starts, quickly gets up to speed with your environment, and contributes from the first weeks.
Collaboration & follow-up

We stay involved, track progress and adjust along the way where needed.

Looking for an AI Engineer who goes beyond experiments?

We make sure you quickly gain access to a senior profile who delivers AI solutions that genuinely add value within your organisation.

Book an introduction