Employer description & source details
Own end to end solution and technical delivery of enterprise software using Agentic AI Harness Delegate to Agents, steer their outputs and deliver the quality that ships Guide AI Engineers, Technical Leads, and Product Teams in solution implementation. Drive customer workshops, solution discovery, and executive-level AI advisory engagements. Support bid responses, solution proposals, and AI transformation initiatives. Ensure alignment of AI solutions with security, compliance, and responsible AI standards. A Full stack Development experience ( React/Angular- .net/ java/ Python) Data-modeler/Architect level database skills in any standard SQL or NO-SQL database Experience in Git and end to end DevSecOps tool chain Experience in Playwright or equivalent Unit Test automation tool Experience in software engineering best practices and end to end SDLC Knowledge of design patterns and coding best practices Experience with Generative AI and appropriate selections of Large Language Models (LLMs) Exposure to any AI assisted coding and testing platform (e.g. Github Copilot / Claude Code / Cursor / Loveable / Windsurf) Understanding of Agentic AI and Multi-Agent Systems Understanding of the concepts of RAG systems, Vector Databases and Embeddings Experience in defining Cloud based enterprise software architecture (Azure/AWS) Understanding of AI Governance and Responsible AI Familiarity with the concepts of Context Engineering and Loop engineering Excellent communication and articulation skills Active listening and stakeholder management Ability to decide the right solution pattern for the problem including when not to use AI Fixed price, token-costs, scope and change control Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectivel
Extracted skills: react, python, java, sql, aws, azure, security, devsecops