Project Role : Application Support Engineer

Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.

Must have skills : Generative AI

Good to have skills : NA

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education Professional & Technical Skills Must Have Skills: Generative AI (GenAI)

Large Language Models (LLMs)

Retrieval Augmented Generation (RAG)

Prompt Engineering

Natural Language Processing (NLP)

Semantic Search

Text Classification

Entity Extraction

Sentiment Analysis

Python Development

FastAPI / Flask

AWS Cloud Services

MLOps

AI Model Deployment Good to Have Skills: Agentic AI

AI Agents & Workflow Integration

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Vector Databases (FAISS, ChromaDB, Pinecone)

React.js

Docker

Terraform

CI/CD

GitHub Actions

PySpark

ETL Development Roles & Responsibilities - Design, develop, and deploy Generative AI solutions for enterprise applications.

- Build and maintain RAG-based applications and AI-powered workflows.
- Develop NLP solutions including semantic search, text classification, entity extraction, and sentiment analysis.
- Design and implement AI pipelines, model orchestration, and deployment frameworks.




- Integrate LLMs and AI services with business applications and APIs.
- Build scalable backend services using Python, FastAPI, and cloud-native technologies.
- Develop and optimize AI models for performance, scalability, and reliability.
- Work with AWS services for AI solution deployment and operations.
- Collaborate with cross-functional teams to deliver production-grade AI solutions.
- Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.
- Mentor team members and contribute to AI adoption and innovation initiatives.

Candidate Search Keywords Generative AI, GenAI, LLM, Large Language Models, RAG, Prompt Engineering, NLP, Semantic Search, LangChain, LangGraph, CrewAI, AutoGen, Agentic AI, Python, FastAPI, AWS, MLOps, Vector Database, FAISS, ChromaDB, Pinecone, React, Docker, Terraform.

Ideal Candidate

Profile

- 5+ years of software engineering experience.
- Strong hands-on experience in Generative AI and LLM-based applications.
- Experience building RAG pipelines and AI-powered enterprise solutions.
- Robust Python development skills.
- Experience with AWS cloud services and AI deployments.
- Knowledge of MLOps and production AI systems.
- Ability to work across full-stack and AI engineering environments.

📌 Application Support Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru