# AI Engineer

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-09-03

**Salary:** INR 300,000–2,200,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟮𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯-𝟮𝟮 𝗟𝗣𝗔)

Experience: 4+ yrs

Location: Hyderabad

Job Type: Full-time

We are looking for an experienced **AI Engineer** to design and develop innovative **AI/ML and Generative AI Proofs of Concept (POCs)** across a range of business applications. The role focuses on rapidly translating business problems into working AI-driven solutions and evaluating the feasibility, effectiveness, and scalability of emerging AI technologies.

The ideal candidate will have strong hands-on experience in **Machine Learning, NLP, Generative AI, Large Language Models (LLMs), Python, RAG architectures, embeddings, and vector databases**. You should be comfortable experimenting with new technologies, building prototypes quickly, and collaborating with business and technical stakeholders.

## Requirements

### Key Responsibilities

-   Design and develop **AI/ML and Generative AI Proofs of Concept (POCs)** to validate new business use cases.
-   Translate business problem statements into practical and scalable AI-driven solutions.
-   Build **LLM-powered applications** using models such as GPT, Llama, Mistral, Claude, and other foundation models.
-   Develop AI applications using frameworks such as **LangChain, LlamaIndex, and Semantic Kernel**.
-   Rapidly evaluate technical feasibility across **Machine Learning, NLP, Generative AI, and LLM** use cases.
-   Design and implement **RAG architectures** using embeddings, vector databases, retrieval pipelines, and prompt engineering techniques.
-   Develop APIs, microservices, data pipelines, and integrations required to operationalise AI solutions.
-   Conduct experiments involving **model fine-tuning, embeddings, vector search, prompt optimisation, and model evaluation**.
-   Explore and prototype emerging AI capabilities, including **transformers, agentic workflows, multimodal models, and advanced RAG techniques**.
-   Leverage cloud AI services across **Azure, AWS, and GCP**, with exposure to Azure OpenAI being an advantage.
-   Apply lightweight MLOps practices covering model and code versioning, evaluation, monitoring, and experimentation.
-   Analyse POC results and assess solution performance, feasibility, scalability, and potential business value.
-   Present POC outcomes, technical findings, insights, and recommendations to business and senior leadership.
-   Collaborate with data scientists, software engineers, product teams, and business stakeholders throughout the development lifecycle.
-   Stay current with the latest developments in **Generative AI, LLMs, AI agents, NLP, and machine learning technologies**.

### What Makes You a Great Fit

-   **4+ years of experience** in AI Engineering, Machine Learning, Data Science, NLP, or a closely related field.
-   Strong hands-on expertise in **Machine Learning, NLP, and Generative AI**.
-   Proven experience building **AI/ML prototypes and rapid Proofs of Concept**.
-   Strong practical experience working with **Large Language Models (LLMs)** such as GPT, Llama, Mistral, Claude, or equivalent models.
-   Proficiency with **LangChain, LlamaIndex, Semantic Kernel**, or similar LLM application frameworks.
-   Strong programming skills in **Python** and experience developing APIs and AI-enabled services.
-   Solid understanding of **embeddings, vector databases, semantic search, prompt engineering, and RAG architectures**.
-   Experience with cloud platforms such as **Azure, AWS, or GCP**; Azure OpenAI experience is preferred.
-   Understanding of LLM evaluation, fine-tuning, retrieval optimisation, and model experimentation.
-   Exposure to **agentic AI, transformers, multimodal AI, and emerging Generative AI architectures**.
-   Familiarity with API development, microservices, data pipelines, and software engineering practices.
-   Understanding of lightweight **MLOps, model versioning, monitoring, and evaluation**.
-   Strong analytical and problem-solving abilities with a practical, experimentation-driven mindset.
-   Excellent communication skills and the ability to explain complex AI concepts to technical and non-technical stakeholders.
-   Ability to work effectively in **Agile, collaborative, and fast-paced environments**.
-   Curiosity and enthusiasm for experimenting with emerging AI technologies and turning new ideas into working solutions.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/8E968A2019/apply)

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