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Full Stack Engineer

Accenture

Full Stack Engineer

Accenture

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

SQL

Go

Azure

Machine Learning

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: .Net Full Stack Development

Good to have skills: Generative AI, Microsoft Azure OpenAI Service, Machine Learning (ML)Minimum 3 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

We re building agentic, production-grade AI apps that go from idea to working solution in hours, not weeks. You ll ship multi-agent workflows, secure enterprise integrations, and real user-facing copilots on Microsoft s AI platform.

Roles & Responsibilities:

  • Design and implement agent + workflow architectures (single/multi-agent, routing, tool calling, memory/state).
  • Build rapid prototypes, then harden to production (security, reliability, monitoring, cost).
  • Implement enterprise integrations (APIs, data sources, connectors, functions) and ship end-to-end experiences (Teams/web).
  • Create and maintain evaluation harnesses (quality, regressions, safety, prompt/tool tests).
  • Build with modern AI-assisted engineering workflows (agentic coding, PR automation, tests).
  • Agentic AI applications: tool-using agents that plan, act, and complete workflows (not just chat).
  • RAG + enterprise grounding using Azure AI Search / Microsoft data sources (Share Point/Fabric/etc. depending on scenario).
  • Copilots/Agents via Copilot Studio (low code) and/or pro-code stacks (Foundry + SDKs).
  • Observability + evaluation: tracing, metrics, and safe operations for agents.

Professional & Technical Skills:

Must To Have Skills:

  • Strong software engineering in C#/.NET and/or Python API-first and cloud-native patterns.
  • Hands-on with Azure OpenAI / Azure AI app development and tool/function calling patterns.
  • Experience building agentic systems using one or more:
    Microsoft Agent Framework (or Semantic Kernel agent framework)
  • Semantic Kernel / Auto Gen patterns (multi-agent orchestration)
  • Production mindset: testing, CI/CD, telemetry, incident readiness.
  • Azure OpenAI, Azure AI Search, Azure Functions, Cosmos DB / Azure SQL, Microsoft Fabric
  • Copilot Studio (agents, connectors, plugins, actions)
  • Secure-by-design: identity, secrets, and least-privilege access patterns (e.g., Entra-backed auth).

Good To Have Skills:

  • Azure AI Foundry Agents experience (agent service + SDK), including tracing/monitoring.
  • Copilot Studio: generative answers/actions, plugins, connectors, multi-channel publishing.
  • MCP (Model Context Protocol) exposure for tool/server interoperability.
  • Practical use of GitHub Copilot Agent Mode to accelerate multi-step dev loops.
    Familiarity with Claude Code (agentic coding in terminal/IDE) as part of your personal dev acceleration toolkit.

Additional Information:

  • The candidate should have minimum 5 years of experience in .Net Full Stack Development.
  • 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 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.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study