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)
Valuable 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

📌 Custom Software Engineer (India)
🏢 Accenture
📍 India