Artificial Intelligence Engineer

Hiringeye Solutions; Chennai, Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Hiringeye Solutions is seeking a Senior AI Engineer in Chennai to design, develop, and deploy scalable AI solutions using LLMs, RAG, and agentic workflows. The role emphasizes building production-grade AI systems and collaborating across teams.

You will work on enterprise data analysis, automated decision-making, model evaluation, and ongoing optimization of latency, quality, and cost, with strong emphasis on CI/CD and best practices.

Qualifications

• 7+ years in software engineering with 5+ years in AI/ML.
• Strong Python, SQL, and data engineering fundamentals.
• Hands-on with LLMs, RAG, embeddings, and vector databases.
• Experience with PyTorch, Hugging Face, and ML evaluation techniques.
• Knowledge of cloud platforms (AWS/Azure/GCP) and Docker/Kubernetes.
• Strong backend development, API design, and CI/CD experience.

Responsibilities

• Build and deploy LLM-powered applications, RAG pipelines, and AI agents.
• Design AI solutions for enterprise data analysis and automated decision-making.
• Develop model evaluation frameworks and monitor AI performance in production.
• Optimize AI architecture, model quality, latency, and cost.
• Collaborate with cross-functional teams and establish engineering best practices.

Skills

Python programming

SQL

Data engineering fundamentals

CI/CD practices

Tools

LLMs

RAG

embeddings

vector databases

PyTorch

Hugging Face

AWS

Azure

GCP

Docker

Kubernetes

Job description

We are looking for a Senior AI Engineer to design, develop, and deploy scalable AI solutions using LLMs, RAG, and agentic workflows. The ideal candidate will have strong expertise in machine learning, data engineering, and production AI systems.

Key Responsibilities

• Build and deploy LLM-powered applications, RAG pipelines, and AI agents.
• Design AI solutions for enterprise data analysis and automated decision-making.
• Develop model evaluation frameworks and monitor AI performance in production.
• Optimize AI architecture, model quality, latency, and cost.
• Collaborate with cross-functional teams and establish engineering best practices.

Required Skills

• 7+ years of software engineering experience, including 5+ years in AI/ML.
• Strong Python, SQL, and data engineering fundamentals.
• Hands-on experience with LLMs, RAG, embeddings, and vector databases.
• Experience with PyTorch, Hugging Face, and ML evaluation techniques.
• Knowledge of AWS, Azure, or GCP, along with Docker and Kubernetes.
• Strong backend development, API design, and CI/CD experience.