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 contemporary 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.

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture in India
📍 Bengaluru