- Most Innovative Companies in The UK – 2024
- Great Place to Work® Certified™ (2022 – Present)
- Excellence
- Integrity
- Learning
- Organizational pride
- Respect
- Owning the architecture of our AI applications and platforms, and managing delivery end to end.
- Leading the AI engineering team day to day, setting direction, mentoring, managing performance, and helping people grow.
- Planning and prioritising the team's work so it ships on time and to the right quality.
- Building LLM-powered applications, AI agents, and intelligent workflows.
- Designing the RAG, retrieval, memory, and vector-database side of things for systems that need to scale.
- Writing and reviewing backend services in Python and Java, and wiring them into enterprise and SAP APIs.
- Getting the hard parts right: prompt engineering, function calling, tool use, multi-agent orchestration.
- Keeping our systems fast, secure, reliable, and sensibly priced once they're live.
- Working closely with product, engineering, and our consulting teams to shape where the AI work goes next.
- Around 10+ years in software engineering, with solid recent experience taking LLM-based systems into production.
- Experience leading and managing engineering teams, not just mentoring, but owning performance and growth.
- A track record of architecting and delivering AI applications or platforms from end to end.
- Strong Python, and good backend Java.
- Real hands-on time with frameworks like LangChain, LangGraph, AutoGen, or LlamaIndex.
- A good grasp of RAG, prompt engineering, and orchestrating LLMs at scale.
- Experience with vector databases and memory architectures, FAISS, Pinecone, Chroma, pgvector, that kind of thing.
- Comfort with APIs, function calling, and secure enterprise integrations.
- Experience on at least one of AWS, Azure, or GCP.
- Docker, Kubernetes, and modern CI/CD.
- MLOps or LLMOps tooling, deployment, monitoring, evaluation, observability.
- Some exposure to SAP or other large enterprise systems.
- A degree in Computer Science, Engineering, or AI/ML (though strong real-world experience counts for more).
- Open-source work, papers, patents, or talks in AI/ML.
Skills Required
- Around 10 or more years of software engineering experience
- Recent experience taking LLM-based systems into production
- Experience leading and managing engineering teams, including performance and career growth
- Track record architecting and delivering AI applications or platforms end to end
- Strong Python skills
- Good backend Java skills
- Hands-on experience with LangChain, LangGraph, AutoGen, or LlamaIndex
- Experience with RAG, prompt engineering, and orchestrating LLMs at scale
- Experience with vector databases or memory architectures such as FAISS, Pinecone, Chroma, or pgvector
- Experience with APIs, function calling, and secure enterprise integrations
- Experience with AWS, Azure, or GCP
- Experience with Docker, Kubernetes, and modern CI/CD
- Experience with MLOps or LLMOps deployment, monitoring, evaluation, or observability tooling
- Exposure to SAP or other large enterprise systems
- Degree in Computer Science, Engineering, or AI/ML
- Open-source work, papers, patents, or AI/ML talks
What We Do
Acuiti Labs is a specialist SAP consulting firm based out of London, servicing clients globally for ‘Order to Cash’ process transformation and optimisation with a presence in Europe, North America, and South Asia. As an SAP Certified Partner, Acuiti Labs has been successfully delivering business technology solutions & digital transformation deploying SAP BRIM (Billing) on S/4HANA and cloud-based applications such as Subscription Billing, CPQ & Entitlement Management. To manage the business requirement of real-time usage data monetization, AcuitiLabs uses SAP Billing and Revenue Innovation Management (BRIM) for providing end-to-end solutions for order-to-cash processes. Acuiti Labs have the experience of delivering successful transformations for multiple industries to support subscription and consumption-based Target Operating Models such as: • Mobility-as-a-Service (travel using public transport and private vehicles) • Tourism-as-a-Service (hotels, entertainment parks) • Ports-as-a-Service (Airports and Seaports) • Postal-as-a-Service • Telco-as-a-Service • Media-as-a-Service • Hi-Tech Acuiti Labs emphases on value realization and monetization of digital assets and strategies, delivering end-to-end services for clients. Customer satisfaction is at the centre of all its endeavors








