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Accenture

Advises businesses and runs their technology

Custom Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 12 years of experience in AI Agents & Workflow Integration.
  • Proficiency in Python.
  • Strong foundational knowledge of Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Understanding of large language models and multimodal models.
  • Experience with prompt engineering and structured prompting.
  • Hands-on experience with AWS KIRO and Spec Driven Development.
  • Knowledge of fine-tuning, embeddings, and retrieval-augmented generation.
  • Experience with agentic orchestration frameworks such as LangChain, CrewAI, Semantic Kernel, and LangGraph.
  • Knowledge of multi-agent coordination strategies, including collaboration, delegation, planning, negotiation, and workflow orchestration using directed acyclic graphs, state machines, and planners.
  • Experience with API design and integration for agent tooling.
  • Experience connecting agents with databases, APIs, and enterprise systems.
  • Knowledge of vector databases, cloud-based or on-premises.

Responsibilities

  • Develop custom software solutions by designing, coding, and enhancing components across systems or applications.
  • Use modern frameworks and agile practices to deliver scalable, high-performing software solutions tailored to business needs.
  • Design, build, and deploy AI agents and workflow integrations that can reason, plan, and execute complex workflows with minimal human intervention.
  • Build production-grade AI agents that integrate with enterprise systems, use tools dynamically, and operate across multi-step workflows.
  • Work with generative AI technologies, including large language models, embeddings, retrieval-augmented generation, prompt engineering, and autonomous agents.
  • Design and develop AI agents that reason, plan, and execute multi-step tasks autonomously.
  • Implement agent capabilities such as tool calling, memory management, and multi-agent collaboration.
  • Apply software engineering best practices, including version control with Git, continuous integration and continuous delivery pipelines, and containerization with Docker and Kubernetes.
  • Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
  • Build REST APIs and microservices for AI-driven platforms and workflow integrations with agentic AI solutions.
  • Lead AI projects through requirements gathering, architecture design, implementation, and performance optimization.

Desired Qualifications

  • Experience with AI Agents & Workflow Integration.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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