- Most Innovative Companies in The UK – 2024
- Great Place to Work® Certified™ (2022 – Present)
- Excellence
- Integrity
- Learning
- Organizational pride
- Respect
- Design, develop, and deploy AI/LLM-powered applications and intelligent workflows.
- Build and integrate AI agents with enterprise APIs and business applications.
- Develop scalable backend services using Python and Java.
- Implement memory, retrieval, and vector database solutions for AI applications.
- Work on prompt engineering, RAG pipelines, and LLM orchestration frameworks.
- Collaborate with product, engineering, and consulting teams to deliver high-quality solutions.
- Optimize AI model performance, scalability, security, and reliability.
- Conduct testing, debugging, and continuous improvement of AI systems.
- Stay updated with emerging trends in AI, Machine Learning, and Generative AI technologies.
- Strong experience in Python and Java development.
- Good understanding of Large Language Models (LLMs) and AI frameworks.
- Hands-on experience with frameworks such as LangChain, LangGraph, AutoGen, LlamaIndex, or similar technologies.
- Experience working with APIs, function calling, and secure integrations.
- Knowledge of vector databases and memory architectures (FAISS, Pinecone, Chroma, pgvector, etc.).
- Understanding of RAG architecture, prompt engineering, and AI orchestration.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Good problem-solving, analytical, and communication skills.
- Ability to work in a fast-paced, collaborative environment.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or related field.
- Experience with Docker, Kubernetes, or modern deployment practices.
- Exposure to SAP technologies or enterprise application ecosystems is an advantage.
- Knowledge of MLOps / LLMOps tools is a plus.
Skills Required
- Strong experience in Python and Java development
- Understanding of Large Language Models and AI frameworks
- Hands-on experience with LangChain, LangGraph, AutoGen, LlamaIndex, or similar technologies
- Experience with APIs, function calling, and secure integrations
- Knowledge of vector databases and memory architectures, such as FAISS, Pinecone, Chroma, or pgvector
- Understanding of RAG architecture, prompt engineering, and AI orchestration
- Familiarity with AWS, Azure, or GCP
- Problem-solving, analytical, and communication skills
- Ability to work in a fast-paced, collaborative environment
- Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field
- Experience with Docker, Kubernetes, or modern deployment practices
- Exposure to SAP technologies or enterprise application ecosystems
- Knowledge of MLOps or LLMOps tools
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









