AI Engineer

VenPep Group; Coimbatore District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

VenPep Group, an AI-first technology consultancy in India, seeks an experienced ML engineer to design, train, and deploy LLMs and agentic workflows for enterprise use cases.

You will optimize inference latency and cost, build scalable data pipelines in Python, collaborate with product teams, and contribute to governance practices around logging and security.

Experience with PyTorch, LangChain, Transformers, and MLOps stacks is preferred; remote work may be available in some engagements.

Qualifications

• Proficient with PyTorch for building and fine-tuning models.
• Experience with LangChain, Transformers, and Hugging Face libraries.
• Hands-on experience with LLM fine-tuning, RAG workflows, and ONNX.
• Strong Python development skills for data pipelines and tooling.

Responsibilities

• Design, train, and deploy LLMs and agentic workflows for enterprise use cases using LangChain, LlamaIndex, and RAG pipelines.
• Optimize model inference latency and cost via quantization, ONNX conversion, and serving on cloud GPU/TPU instances.
• Build scalable data pipelines for fine-tuning, validation, and evaluation using Python, Pandas, and Spark.
• Collaborate with product teams to integrate AI features into customer-facing applications with clear API contracts.
• Monitor model drift, performance degradation, and bias risks—implement retraining triggers and feedback loops.
• Contribute to AI governance practices: logging, explainability, and security-compliant deployment patterns.

Skills

PyTorch

LangChain

Transformers

Hugging Face

LLM Fine-tuning

RAG

ONNX

Python

Tools

MLflow

Vertex AI

TensorRT

Job description

About The Opportunity

A fast-scaling AI-first technology consultancy based in India, we partner with enterprises to operationalize generative AI, computer vision, and NLP at scale. Our engineers build production-grade AI systems that drive automation, enhance decision intelligence, and transform customer experiences across industries—leveraging Python, PyTorch, LangChain, and cloud-native MLOps stacks.

About The Opportunity

A fast-scaling AI-first technology consultancy based in India, we partner with enterprises to operationalize generative AI, computer vision, and NLP at scale. Our engineers build production-grade AI systems that drive automation, enhance decision intelligence, and transform customer experiences across industries—leveraging Python, PyTorch, LangChain, and cloud-native MLOps stacks.

Role & Responsibilities

• Design, train, and deploy LLMs and agentic workflows for real-world enterprise use cases using LangChain, LlamaIndex, and RAG pipelines.
• Optimize model inference latency and cost via quantization, ONNX conversion, and serving on cloud GPU/TPU instances.
• Build scalable data pipelines for fine-tuning, validation, and evaluation using Python, Pandas, and Spark.
• Collaborate with product teams to integrate AI features into customer-facing applications with clear API contracts.
• Monitor model drift, performance degradation, and bias risks—implement retraining triggers and feedback loops.
• Contribute to AI governance practices: logging, explainability, and security-compliant deployment patterns.

Skills & Qualifications

• Must-Have
• PyTorch
• LangChain
• Transformers
• Hugging Face
• LLM Fine-tuning
• RAG
• ONNX
• Python
• Preferred
• MLflow
• Vertex AI
• TensorRT

Skills: python,pytorch,artificial intelligence