Artificial Intelligence Developer

Tekskills; Bulandshahr; Hybrid; INR 2,500,000 - 5,500,000; Full time

Job summary

Tekskills in India is hiring for an AI applications developer with hands-on ML pipeline experience to build, deploy and optimize AI agents and retrieval workflows. You will work with Python-based stacks, Azure OpenAI, and vector databases, focusing on scalable LLM solutions and responsible AI practices.

Responsibilities include deploying REST APIs, Docker/Kubernetes, and CI/CD pipelines, plus prompt engineering and model fine-tuning, with frontend elements using React or Vue in AI-driven UIs.

Qualifications

• 5 years of hands-on experience in AI apps development and ML pipelines.
• Hands-on with Python (PyTorch, TensorFlow) and Azure platforms.
• Build & deploy AI agents using LangChain, LlamaIndex, RAG, and memory components.
• Experience with Azure OpenAI, Computer Vision, and Azure AI Foundry.
• Experience with vector databases to support retrieval workflows.
• Deployment skills including REST APIs, Docker, Kubernetes, CI/CD.
• Prompt engineering and foundational model fine-tuning.
• Proficiency in data manipulation tools/languages (SQL, R).
• Experience writing frontends with React or Vue for AI-driven UIs.
• Knowledge of ethical AI, governance, and cost optimization.
• Experience with embeddings and vector DB storage.
• Strong prompt engineering and model tuning capabilities.
• ML experience is a plus, stay ahead of AI advancements.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

RAG

LLMs optimization

Azure

Memory components

Prompt engineering

Fine-tuning

REST APIs

Data manipulation (SQL,R)

Frontend (React/Vue)

Ethical AI governance

Embeddings

Vector DB storage

Model tuning

ML experience

Responsible AI

Tools

Terraform

Azure OpenAI

Azure AI Foundry

Docker

Kubernetes

React

Vue

CI/CD

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