Python AI

Actively Reviewing the Applications

Weekday AI (YC W21)

India, Tamil Nadu, Chennai Full-Time On-site INR 22–30 LPA

Posted 3 weeks ago • Apply by June 4, 2026

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 2200000 - Rs 3000000 (ie INR 22-30 LPA)

Min Experience: 5 years

Location: Bangalore, Chennai, Hyderabad, Pune

JobType: full-time

We are seeking an experienced Python AI Engineer to design, build, and deploy advanced AI applications powered by modern Retrieval-Augmented Generation (RAG) architectures and Agentic AI systems. In this role, you will work at the intersection of backend engineering, AI infrastructure, and large language models to develop intelligent systems that augment decision-making, automate workflows, and deliver contextual insights at scale.

You will play a key role in architecting robust AI pipelines, integrating enterprise data sources, and deploying scalable solutions on Azure cloud infrastructure. The ideal candidate brings strong Python expertise, hands-on experience with RAG pipelines, and a deep understanding of building production-grade AI systems.

Requirements

Key Responsibilities

Design and develop scalable AI applications and services using Python that leverage large language models and modern AI frameworks.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines that combine vector search, document retrieval, and generative models to produce accurate and context-aware responses.

Develop Agentic AI systems capable of autonomous reasoning, planning, and tool usage to automate complex workflows.

Implement data ingestion, embedding generation, indexing, and retrieval pipelines for structured and unstructured enterprise data.

Design and deploy AI services on Microsoft Azure, utilizing services such as Azure OpenAI, Azure AI Search, Azure Functions, and cloud-native infrastructure.

Integrate AI solutions with internal platforms, APIs, and enterprise systems to enable intelligent automation and data-driven decision-making.

Optimize performance, latency, and cost efficiency of AI models and pipelines in production environments.

Collaborate with product managers, data engineers, and platform teams to translate business requirements into scalable AI solutions.

Implement monitoring, evaluation, and guardrails to ensure model reliability, accuracy, and responsible AI usage.

Stay current with advancements in LLMs, agent frameworks, and retrieval techniques, continuously improving system capabilities.

Required Skills And Experience

5-11 years of professional software development experience with strong proficiency in Python.

Hands-on experience building and deploying Retrieval-Augmented Generation (RAG) systems in production environments.

Practical experience with Agentic AI frameworks and building AI agents capable of multi-step reasoning and tool integration.

Experience designing and implementing vector search and semantic retrieval pipelines.

Strong experience working with Azure cloud services, particularly Azure OpenAI, Azure AI Search, and cloud-based AI infrastructure.

Proficiency with AI/ML frameworks and libraries such as LangChain, LlamaIndex, or similar tooling for building AI pipelines.

Experience integrating large language models with APIs, enterprise data sources, and backend services.

Strong understanding of distributed systems, APIs, and scalable backend architecture.

Familiarity with containerization, CI/CD pipelines, and deploying AI workloads in production.

Preferred Qualifications

Experience building enterprise-grade AI copilots, knowledge assistants, or automation agents.

Knowledge of vector databases and embedding models used for semantic search.

Experience with prompt engineering, evaluation frameworks, and model performance optimization.

Understanding of responsible AI practices, data security, and compliance considerations.