The Role
Develop enterprise AI solutions, agentic and multi-agent systems, and GenAI/LLM applications. Responsibilities include fine-tuning Transformer models, prompt engineering, model optimization, API development with Python, Flask, and FastAPI, and deployment using Docker and Kubernetes. The role also covers MLOps, CI/CD, database integration, Python memory profiling, and OpenAI GPT integrations for document processing.
Summary Generated by Built In
We Are Hiring – AI Engineer | Agentic AI & GenAI
Experience: 5+ Years
CTC: Up to ₹18 LPA
Domain: AI Engineering
Key Responsibilities
- Develop scalable and optimized enterprise AI solutions.
- Build and manage AI agents and multi-agent systems.
- Perform hands-on fine-tuning, transfer learning and optimization of Transformer-based models.
- Develop GenAI and LLM applications using modern AI frameworks.
- Implement prompt engineering and optimize model performance.
- Deploy AI/ML models using Docker and Kubernetes.
- Build APIs and AI applications using Python, Flask and FastAPI.
- Implement MLOps practices and CI/CD pipelines for ML solutions.
- Work with SQL, NoSQL and vector databases.
- Optimize Python applications using memory profiling tools such as Scalene or Filprofiler.
- Integrate OpenAI GPT models with Python applications for processing PDF/PPTX documents using tools such as PyMuPDF and python-pptx.
Requirements
? Must-Have Skills
- Agentic AI, Generative AI & LLMs
- Prompt Engineering & Fine-Tuning
- AI Agents & Multi-Agent Systems
- Python
- Transformer / Deep Learning Models
- LangChain / LangGraph / AutoGen / Semantic Kernel
- NLP – BERT, Word2Vec, NLTK, spaCy, GloVe
- Azure / AWS / Google Cloud
- Flask & FastAPI
- Docker & Kubernetes
- SQL, NoSQL & Vector Databases
- MLOps & CI/CD
- Model Performance Optimization
Skills Required
- 5+ years of experience
- Agentic AI, Generative AI, and LLM experience
- Prompt engineering and model fine-tuning
- AI agents and multi-agent systems
- Python
- Transformer and deep learning models
- Experience with LangChain, LangGraph, AutoGen, or Semantic Kernel
- NLP experience with BERT, Word2Vec, NLTK, spaCy, or GloVe
- Experience with Azure, AWS, or Google Cloud
- Flask and FastAPI
- Docker and Kubernetes
- SQL, NoSQL, and vector databases
- MLOps and CI/CD
- Model performance optimization
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
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
