Full Stack Engineer

Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Generative AI
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Full Stack Engineer, a typical day involves designing, building, and refining comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the development lifecycle to create innovative solutions that enhance client services. The work environment encourages the adoption of emerging technologies and embraces a cloud-first approach combined with agile methodologies to address complex business challenges effectively. Collaboration with cross-functional teams and continuous improvement of system components are integral parts of the daily routine.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the integration of new technologies to improve system performance and scalability.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to ensure alignment of technical solutions with business goals.
- Apply approved AI coding assistants to Generative AI services for code generation, refactoring, debugging, and unit/integration testing. Implement and validate prompts, retrieval workflows, structured outputs, and controlled tool use against representative test cases review correctness, security, hallucination risk, dependency risk, and performance before release. Protect client data and retain human review accountability.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Experience in designing and implementing scalable backend services and APIs.
- Strong knowledge of frontend frameworks and user interface development.
- Familiarity with cloud platforms and deployment strategies.
- Ability to work within agile development environments and continuous integration pipelines.
- Competence in debugging, testing, and optimizing full stack applications.
- Knowledge of Capital Markets and Investment Management, with experience across securities, trading, portfolio management, investment operations, and related financial services processes.
- AI Technical Skills: Hands-on use of approved coding assistants (for example, GitHub Copilot) with context-rich prompting, generated-code review, and automated test validation. Ability to integrate LLM APIs, implement structured outputs, retrieval-augmented generation (RAG), and tool/function calling with explicit permissions and human approval for consequential actions. Build evaluation datasets and assess groundedness, hallucination risk, response quality, latency, cost, prompt-injection resistance, and sensitive-data handling. AI tech stack: Python or project-approved application languages, LLM SDKs/APIs, embedding models, retrieval/vector stores, and evaluation tooling framework examples include LangChain, LlamaIndex, or LangGraph. Framework and platform choices are project-dependent.
- Managerial Skills: Lead Generative AI use-case prioritization, delivery planning, resource allocation, stakeholder alignment, and risk management coordinate engineering, data, security, and business teams, track evaluation and release readiness, and mentor engineers in responsible AI delivery.
- Architectural Skills: Design end-to-end Generative AI architectures covering model selection, retrieval, orchestration, controlled tool access, and enterprise integration establish evaluation, observability, data protection, human approval, and fallback patterns, and document quality, latency, and cost trade-offs.


Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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