Full Stack Engineer & AI

Company Description

• JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data.
• Founded in 2010, we are a team of 600+ consultants based in London, UK, and a team of 450+ engineers in Chennai, India. Having delivered multiple projects in the US, we are now opening a new office in New York to help us support and grow our US client base.
• We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains.
• Our team is as cutting edge as our work. We take pride for ourselves on being great to work with – no jargon or corporate-speak, flexible to change and receptive of feedback.
• We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high quality work and shape our journey to becoming a globally recognised brand. The business has grown quickly in the last 3 years with no signs of slowing down. "

Position • Design and develop AI-enabled business applications and solutions. • Integrate AI capabilities into enterprise workflows, systems, and user experiences. • Build reusable frameworks, accelerators, and solution patterns. • Collaborate with architects, consultants, and delivery teams to shape solutions. • Support AI-enabled client engagements and internal innovation initiatives. • Contribute to engineering standards, best practices, and capability building. • Mentor team members and support AI adoption across the Full Stack COE. • Evaluate emerging technologies and recommend practical adoption opportunities. Requirements

Technical Specification • 5–8 years of experience in Full Stack Development, Software Engineering, or related field. • Strong experience building enterprise-grade applications and integrations. • Experience working with AI/LLM technologies and modern application architectures. • Familiarity with cloud-native development on Azure, AWS, or GCP. • Experience working with enterprise data platforms and APIs. • Understanding of AI solution design, automation, and enterprise system connectivity. • Experience with DevOps practices, CI/CD, and containerized deployment

Required Skillset AI & GenAI: OpenAI / Azure OpenAI / Claude / Gemini, Prompt Engineering, RAG (Retrieval Augmented Generation) Agentic AI: LangGraph / CrewAI / Semantic Kernel, MCP (Preferred) Full Stack: React / Next.js, Node.js / Nest.js, Python