The Role
Design and deploy enterprise AI agent applications using LLMs, LangGraph, Python, RAG, vector databases, and cloud AI services. Build multi-agent workflows, document-processing pipelines, backend APIs, and intelligent business-process automation platforms. Integrate OpenAI, Azure OpenAI, enterprise systems, databases, and external APIs while optimizing security, scalability, observability, performance, and cost. Collaborate with architects, product teams, and business stakeholders to deliver production-grade generative AI solutions.
Summary Generated by Built In
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 : Large Language Models (LLMs)
Good to have skills : Agent Development
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Summary
Need a AI Agentic Developer to design and develop enterprise-grade AI applications leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, and LangGraph-based workflow orchestration. The ideal candidate will have strong expertise in Python, AI agent frameworks, document processing, API development, and cloud-based AI services. The role involves building intelligent multi-agent systems, Retrieval-Augmented Generation (RAG) solutions, and AI-driven business process automation platforms.
Key Responsibilities
Design, develop, and deploy AI Agent-based solutions using LLMs, LangGraph, and modern GenAI frameworks.
Build scalable and secure backend services using Python, FastAPI, and cloud-native architectures.
Develop intelligent document ingestion, extraction, and transformation pipelines for enterprise content.
Implement RAG architectures, semantic search, vector-based knowledge retrieval, and tool-calling agents.
Integrate OpenAI, Azure OpenAI, enterprise applications, databases, and external APIs into agentic workflows.
Optimize AI applications for performance, scalability, security, observability, and cost efficiency.
Collaborate with architects, product teams, and business stakeholders to deliver innovative AI solutions.
Required Technical Skills
AI / GenAI / Agentic AI
Python
Lang Graph
OpenAI SDK
Azure OpenAI Services
LangGraph
LangChain Core
LangChain OpenAI
LangChain Azure AI
Multi-Agent Systems
Agentic AI Architecture
LLM Application Development
Prompt Engineering
Function Calling / Tool Calling
Conversational AI
AI Workflow Orchestration
OpenTelemetry Observability
RAG & Knowledge Systems
Retrieval-Augmented Generation (RAG)
Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS, Weaviate)
Embeddings & Semantic Search
Knowledge Grounding
Context Management
LLM Evaluation and Monitoring
Python & Backend Development
Python
FastAPI
Uvicorn
REST APIs
Async Programming (aiohttp)
Pydantic
PyYAML
Document Processing & Data Engineering
PyMuPDF
python-docx
openpyxl
pandas
xlrd
extract-msg
BeautifulSoup
lxml
Pillow
Cloud & DevOps (Preferred)
Microsoft Azure
Azure App Services
Docker
Kubernetes
CI/CD Pipelines
GitHub Actions / Azure DevOps
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.15 years full time education
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 : Large Language Models (LLMs)
Good to have skills : Agent Development
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Job Summary
Need a AI Agentic Developer to design and develop enterprise-grade AI applications leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, and LangGraph-based workflow orchestration. The ideal candidate will have strong expertise in Python, AI agent frameworks, document processing, API development, and cloud-based AI services. The role involves building intelligent multi-agent systems, Retrieval-Augmented Generation (RAG) solutions, and AI-driven business process automation platforms.
Key Responsibilities
Design, develop, and deploy AI Agent-based solutions using LLMs, LangGraph, and modern GenAI frameworks.
Build scalable and secure backend services using Python, FastAPI, and cloud-native architectures.
Develop intelligent document ingestion, extraction, and transformation pipelines for enterprise content.
Implement RAG architectures, semantic search, vector-based knowledge retrieval, and tool-calling agents.
Integrate OpenAI, Azure OpenAI, enterprise applications, databases, and external APIs into agentic workflows.
Optimize AI applications for performance, scalability, security, observability, and cost efficiency.
Collaborate with architects, product teams, and business stakeholders to deliver innovative AI solutions.
Required Technical Skills
AI / GenAI / Agentic AI
Python
Lang Graph
OpenAI SDK
Azure OpenAI Services
LangGraph
LangChain Core
LangChain OpenAI
LangChain Azure AI
Multi-Agent Systems
Agentic AI Architecture
LLM Application Development
Prompt Engineering
Function Calling / Tool Calling
Conversational AI
AI Workflow Orchestration
OpenTelemetry Observability
RAG & Knowledge Systems
Retrieval-Augmented Generation (RAG)
Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS, Weaviate)
Embeddings & Semantic Search
Knowledge Grounding
Context Management
LLM Evaluation and Monitoring
Python & Backend Development
Python
FastAPI
Uvicorn
REST APIs
Async Programming (aiohttp)
Pydantic
PyYAML
Document Processing & Data Engineering
PyMuPDF
python-docx
openpyxl
pandas
xlrd
extract-msg
BeautifulSoup
lxml
Pillow
Cloud & DevOps (Preferred)
Microsoft Azure
Azure App Services
Docker
Kubernetes
CI/CD Pipelines
GitHub Actions / Azure DevOps
Additional Information:
- The candidate should have minimum 5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru 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.
Skills Required
- At least 5 years of experience working with Large Language Models (LLMs)
- 15 years of full-time education
- Python development and backend engineering experience
- Experience developing LLM, generative AI, or agentic AI applications
- Experience with LangGraph, LangChain, AI agent frameworks, and multi-agent systems
- Experience with RAG, vector databases, embeddings, semantic search, and knowledge retrieval
- Experience developing APIs using FastAPI, REST, asynchronous programming, and Pydantic
- Experience integrating OpenAI, Azure OpenAI, enterprise applications, databases, and external APIs
- Agent development experience
- Experience with Microsoft Azure, Azure App Services, Docker, Kubernetes, and CI/CD pipelines
- Experience with GitHub Actions or Azure DevOps
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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
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.
