Required Skills :

- AI & LLM Technologies
- Production AI Application Development
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents / Autonomous Agents
- Prompt Engineering
- AI Evaluation & Benchmarking
- Vector Databases

Programming:

- Python
- JavaScript
- MERN Stack
- REST APIs
- Cloud & DevOps
- AWS or Microsoft Azure
- Docker
- Kubernetes (Preferred)
- CI/CD Pipelines
- Git

Enterprise Integration:

- API Integration
- Authentication & Security
- Enterprise Software Integration

Nice to Have:

- Experience with LangChain
- Experience with LangGraph
- Experience with LlamaIndex
- Multi-Agent AI Systems
- Computer Vision AI
- Voice AI Applications
- AI Consulting / IT Services background
- Technical Leadership experience
- Experience working with enterprise clients

Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
- 7-9 years of software engineering experience.
- Strong experience in developing production AI/LLM applications.
- Excellent problem-solving and system design skills.
- Solid communication and stakeholder management abilities.

About the Role:

We are looking for a highly experienced Senior AI Engineer to design, develop, deploy, and optimize enterprise-grade AI and Large Language Model (LLM) applications. The ideal candidate should have strong expertise in building production-ready AI solutions using Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, Prompt Engineering,



and AI evaluation frameworks.You will work closely with product teams and enterprise clients to deliver scalable, secure, and high-performance AI applications that solve real-world business challenges.

Key Responsibilities:

- Design, develop, and deploy production-grade AI/LLM applications.
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Develop AI Agents capable of multi-step reasoning and task automation.
- Design effective prompts and prompt engineering strategies for LLM applications.
- Evaluate, benchmark, and optimize AI model performance, quality, and accuracy.
- Build scalable backend services and APIs for AI-powered applications.
- Integrate AI solutions with enterprise applications and third-party platforms.
- Develop REST APIs and microservices using Python or MERN technologies.
- Deploy AI applications on AWS or Microsoft Azure.
- Implement CI/CD pipelines for automated deployment and monitoring.
- Optimize latency, scalability, security, and cost of AI systems.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Provide technical leadership, code reviews, and mentorship to junior engineers.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Senior AI Engineer - Production AI / LLM Applications (Chennai)
🏢 Klarin Technologies
📍 Chennai