Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : AI Agents & Workflow Integration Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education We are seeking an AI Engineer to support the build, testing and deployment of the Digital Brain foundation and suite of AI agents transforming Product Design and requirements development across the SDLC. Working alongside Senior AI Engineers, Product Owners and Architects, the role will be hands-on in developing knowledge integrations, agent capabilities and production-ready AI solutions across Product Design, Feature Generation, User Story Generation and Strategic Prioritisation. Key Responsibilities Build and enhance components of the Digital Brain, integrating product and engineering knowledge from sources such as Confluence, Jira, Git, Miro, Figma and release documentation. Develop and maintain data pipelines, APIs and integrations supporting the knowledge and traceability layer. Build and configure AI agents for Product Design, Feature Generation, User Story Generation and Strategic Prioritisation. Develop RAG and knowledge-retrieval capabilities to provide agents with accurate enterprise context. Implement prompts, tools, workflows and agent behaviours using established engineering patterns and frameworks. Support development of end-to-end traceability across product designs, features, user stories, systems and production code. Build and execute automated evaluations and tests covering accuracy, hallucination, completeness, consistency and traceability. Investigate defects and improve agent performance based on testing and user feedback. Integrate AI capabilities into existing Product and Engineering tools and workflows. Participate in rapid prototyping and user testing, iterating solutions against live use cases. Contribute reusable components, documentation, engineering standards and CI/CD pipelines. Work closely with Senior Engineers, Product Owners, Architects and users while progressively taking ownership of individual components and agent capabilities. Core Skills Software engineering experience, ideally Python and/or TypeScript/Java Understanding of LLMs, Generative AI and agentic AI concepts Experience or exposure to Spec Driven Development (SDD) Experience or exposure to RAG and knowledge retrieval Familiarity with agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI or Semantic Kernel Exposure to vector databases and/or knowledge graphs API development and system integration Prompt and context engineering Automated testing and AI evaluation techniques Git, DevOps and CI/CD practices Experience or familiarity with tools such as Jira, Confluence and GitHub/GitLab Understanding of the software development lifecycle and Agile product delivery Strong problem-solving skills and willingness to learn emerging AI engineering technologies 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.