Custom Software Engineer - Hyderabad, HDC3B | Accenture Job

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 : Python (Programming Language)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

What You ll Do
Design and develop RAG pipelines, agentic workflows, and multi-model orchestration that solve high-value, domain-specific use cases across lines of business.
Build and optimize the APIs, services, and integration layers that connect AI capabilities to enterprise data and systems.
Partner with US-based FDEs to turn prioritized, ROI-driven opportunities into production-ready builds.
Implement agentic AI systems that improve reasoning, tool use, and interaction across complex, multi-step workflows, working within defined architectural patterns and reference implementations.
Contribute to and utilize CI/CD pipelines (GitLab or equivalent) to enable automated build, test, and deployment workflows.
Implement instrumentation, structured logging, and tracing to monitor AI system performance, cost, and output quality, in partnership with platform and SRE teams.
Leverage AI-assisted development tools to improve code quality, accelerate development, and enhance debugging.
Contribute design input within defined architectural frameworks and evaluate trade-offs at the component or feature level.
Collaborate with product, architecture, and engineering partners to translate business requirements into scalable technical solutions.
Apply and help uphold AI engineering standards for performance, security, reliability, and compliance across deployed solutions.
What You ll Bring
7+ years of professional software development experience, including hands-on experience building AI/ML or LLM-based systems.
Experience designing and building RAG pipelines, agentic workflows, or multi-model orchestration.
Experience developing backend services, REST APIs, and enterprise integration solutions using modern languages and frameworks.
Experience with cloud platforms (AWS/Azure/GCP) and cloud-native application development.
Experience integrating LLMs and agent frameworks with enterprise data and tooling, including connector/tool-use patterns (e.g., MCP) and retrieval and grounding strategies.
Experience building and operating CI/CD pipelines (GitLab or equivalent).
Experience incorporating observability into software solutions, including monitoring of AI system performance, cost, and output quality.
Understanding of secure application design (authentication/authorization patterns, secrets handling).
Ability to operate effectively in environments with evolving requirements.
Strong ownership mindset and clear technical communication skills.
Experience using AI-assisted development tools to improve productivity and engineering outcomes.
Must Have Skills
Hands-on experience building AI systems using LLMs — RAG, agentic workflows, or multi-model orchestration.
Experience with cloud platforms (AWS/Azure/GCP) and cloud-native development.
Experience developing backend services, REST APIs, and integration layers that connect AI capabilities to enterprise systems.
Experience with agent and tool-use frameworks, including connector patterns (e.g., MCP).
Nice-to-Have
Experience designing high-throughput, low-latency distributed systems.
Experience with prompt engineering and LLM evaluation frameworks.
Experience with AI observability — output evaluation, hallucination detection, or agent tracing.
Familiarity with frontend technologies (e.g., React) for building end-user AI experiences.
Experience leveraging AI for log analysis, anomaly detection, or operational insights.
Experience working in a forward-deployed, consulting, or customer-facing engineering model.
Experience delivering solutions across multiple lines of business or domains, matching engineering effort to business value.

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 

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