Application Support Engineer

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.
- Strong 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.


Qualification
15 years full time education