Full Stack Engineer

Posted 11 Hours Ago
Be an Early Applicant
4 Locations
In-Office
Senior level
Information Technology
The Role
Develop end-to-end features and agentic AI solutions using LLMs to automate development and operations workflows. Enable GitHub Copilot adoption, build and fine-tune models (GPT-4/Claude), implement RAG and prompt engineering, integrate AI with DevOps/SRE/ITSM, deploy services on cloud platforms, and define governance and responsible AI frameworks.
Summary Generated by Built In
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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
1)Key Responsibilities -
Seeking a highly skilled GitHub Copilot Engineer with expertise in Large Language Models (LLMs) to design, develop, and scale agentic AI-driven solutions across the software development and operations lifecycle. This role will drive intelligent automation, enhance developer productivity, and enable autonomous decision-making systems within the enterprise ecosystem.
2)Technical Experience
Experience in Agentic Solution Development
Design and implement AI agents capable of autonomous reasoning, planning, and execution.
Build multi-agent workflows for incident management, automation, and system optimization.
Integrate agentic frameworks into enterprise platforms (DevOps, SRE, ITSM).
GitHub Copilot Enablement
Drive adoption and customization of GitHub Copilot across engineering teams.
Develop Copilot extensions, prompt strategies, and governance frameworks.
Establish best practices for AI-assisted coding and secure usage.
LLM Engineering
Design, fine-tune, and deploy solutions using models like GPT-4 / Claude.
Implement Retrieval-Augmented Generation (RAG), prompt engineering, and evaluation pipelines.
Automation & SRE Integration
Build AI-driven remediation and self-healing systems.
Integrate AI agents with monitoring and observability tools.
Build scalable backend systems using Python/Node.js.
Deploy AI services on cloud platforms like AWS, Microsoft Azure, or Google Cloud.
Governance & Responsible AI
Ensure secure, compliant, and ethical use of AI.
Define guardrails, monitoring, and audit frameworks for AI systems.
3)Professional Attributes -
Good Communication skills and able to communicate with multiple team members across the globe
Good problem solving skills
Good decision-facilitation skills
4)Education qualification –
Candidate must have completed the 16 years of education.
Preferably BTECH

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 at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Skills Required

  • Experience with Large Language Models (LLMs)
  • Designing, fine-tuning, and deploying models like GPT-4 or Claude
  • Experience with Retrieval-Augmented Generation (RAG) and prompt engineering
  • Agentic solution development and building AI agents capable of autonomous reasoning and execution
  • Experience enabling and customizing GitHub Copilot, including extensions and prompt strategies
  • Build scalable backend systems using Python or Node.js
  • Deploy AI services on cloud platforms such as AWS, Microsoft Azure, or Google Cloud
  • Integrate AI agents with DevOps, SRE, ITSM processes and monitoring/observability tools
  • Minimum 7.5 years of professional experience
  • 15-16 years of full-time education (preferably BTech)
  • Strong communication, problem solving, and decision-facilitation skills

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

Accenture Insights

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The Company
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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