Artificial Intelligence Developer

Tekskills; Chennai District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Tekskills is hiring for an AI applications developer in Chennai, India. You will design and implement ML pipelines, build AI agents with LangChain and RAG, and deploy scalable services using REST APIs, Docker, and Kubernetes.

You will work with Azure OpenAI, Computer Vision, and vector databases to enable retrieval and memory features, while ensuring governance, ethical AI, and cost optimization. Strong frontend skills (React/Vue) are a plus.

Qualifications

• 5 years hands-on AI apps development and ML pipelines.
• Expertise in Python (PyTorch, TensorFlow), Azure, Terraform.
• Build & deploy AI agents using LangChain, LlamaIndex, RAG, memory components; optimize LLMs (Azure OpenAI, private models on GPU infra).
• Experience on Azure OpenAI, Computer Vision & Azure AI Foundry.
• Hands-on with vector databases to support retrieval workflows.
• Deployment skills including REST APIs, Docker, Kubernetes, CI/CD.
• Implement prompt engineering and foundational model fine-tuning.
• Proficiency in data manipulation tools and languages (SQL, R).
• Experience writing frontends with React/Vue for AI-driven UIs.
• Knowledge of ethical AI, fairness, governance, and cost optimization.
• Experience with RAG, embeddings & vector DB storage.
• Strong prompt engineering and model tuning capabilities.
• Experience of Machine Learning is a plus.
• Stay ahead of AI advancements and integrate best practices in responsible AI.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

RAG

LLM fine-tuning

Prompt engineering

Model tuning

SQL

R

React/Vue

Tools

Azure

Terraform

Docker

Kubernetes

CI/CD

REST APIs

Azure OpenAI

Vector DB

Job description

Job Description:

Primary Skills

Python+ Terraform+RAG+LLM+Azure

Minimum experience:

• 5 years of hands-on experience in role of AI apps development and ml-pipelines

Must have hands-on:

• Python expertise (PyTorch, TensorFlow), Azure, Terraform
• Build & and deploy AI agents using LangChain, LlamaIndex, RAG, and memory components. Optimize LLMs (Azure OpenAI, private models on GPU infra)
• Must have experience on Azure OpenAI, Computer vision & Azure AI Foundry
• Hands-on with vector databases to support retrieval workflows
• Deployment skills including REST APIs, Docker, Kubernetes, CI/CD
• Implement prompt engineering and foundational model fine-tuning
• Proficiency in data manipulation tools and languages (e.g., SQL, R).
• Experience writing frontends with React/Vue for AI-driven UIs
• Knowledge of ethical AI, fairness, governance, and cost optimisation
• Experience with RAG, embeddings & vector DB storage
• Strong prompt engineering and model tuning capabilities
• Experience of Machine Learning is a plus
• Stay ahead of AI advancements and integrate best practices in responsible AI