Labs @Innablr
Deploy highly trained, certified AI engineers and Forward Deployment Engineers (FDEs) directly to your team. Labs @Innablr provides elite technical specialists embedded on-site, backed by a robust framework of architecture governance, security practices, and senior engineering expertise. Accelerate your AI initiatives with confidence, ensuring rapid delivery without compromising on enterprise compliance, safety, or engineering standards.
Specialised Expertise for Key AI Engineering Roles
Labs @Innablr recognises the intricate challenges of deploying AI in complex IT landscapes. We help solve this by deploying highly specialised personnel crucial to AI engineering.
Forward Deployed Engineers (FDEs) in AI Deployment
Our FDEs are pivotal in bridging the gap between AI model development and its practical application within client IT environments. They are embedded within client teams to tailor, integrate, and deploy complex AI solutions, ensuring seamless operationalisation and optimal performance in diverse infrastructures.
AI Engineers (Agent Development) for IT Systems
These AI Engineers are at the forefront of creating intelligent systems capable of complex reasoning and autonomous action within IT ecosystems. They specialise in developing and rigorously testing Large Language Models (LLMs) and agentic systems for reliability, safety, and ethical compliance in enterprise applications.
AI Data Engineers for Operational AI
Our AI Data Engineers are instrumental in the success of AI deployments, managing the entire data lifecycle – from ingestion to governance – within the IT infrastructure. They ensure the availability of high-quality, reliable data essential for training, validating, and continuously improving deployed AI models.
Observability Engineers for AI Systems
Observability Engineers are critical for understanding the internal state of complex AI systems by analysing their external outputs. They ensure rapid detection, diagnosis, and resolution of issues in production IT environments, maintaining AI system health and operational excellence.
AI Product Managers
Our AI Product Managers bring a deep understanding of both AI capabilities and business strategy. They are deployed to define AI product vision, roadmaps, and features, ensuring that AI solutions deliver tangible business value and align with market needs.
MLOps Engineers
MLOps Engineers are crucial for streamlining the entire machine learning lifecycle, from experimentation to production. Our experts are deployed to build, deploy, and manage scalable and reliable ML pipelines, ensuring continuous integration, delivery, and monitoring of AI models in IT environments
AI Security Engineers
With the increasing complexity of AI systems, AI Security Engineers are vital for protecting against vulnerabilities and threats. Our specialists are deployed to design, implement, and test security measures for AI models and infrastructure, ensuring data privacy, model integrity, and compliance with security standards.