# AI Engineer

**Company**: Keywords Studios
**Location**: India
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q64141679

**Apply**: https://jobs.workable.com/view/mP6kcMVdccFqxx3vLgjbdx/remote-ai-engineer-in-india-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b76b39ea-076

## Description

Keywords Studios is a leading global provider of technical and creative services to the video game and entertainment industries.

We are looking for a passionate and skilled AI Engineer to build next-generation applications. You will play a key role in developing, deploying, and optimizing state-of-the-art AI models to power intelligent solutions that impact millions of users.

## Role Overview

The role heavily focuses on generative AI, Large Language Models (LLMs), and integrating sophisticated agentic workflows into production environments.

## Requirements

### Key Responsibilities

- Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational AI.

- Build context-aware, autonomous AI agents using modern frameworks to solve complex business logic and automate workflows.

- Collaborate with data engineers to preprocess and curate large datasets for training and testing models.

- Experiment with state-of-the-art machine learning algorithms and fine-tune foundation models for production.

- Build and deploy scalable, production-ready AI pipelines.

- Analyze and optimize the performance of AI models to meet business requirements.

- Stay updated with the latest advancements in GenAI, LLMs, and agentic systems, and propose innovative solutions to enhance products.

### Required Skills and Qualifications

- Education: Bachelor's or Master's degree or PhD in Computer Science, Data Science, or a related field.

- Experience: 3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations.

- Technical Skills:

- Strong proficiency in Python and experience with advanced AI/LLM ecosystem libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA, or DSPy).

- Experience in building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production.

- Strong expertise in building applications using LLMs (e.g., Gemini, GPT-4, Claude) and modern orchestration frameworks like LangChain or LlamaIndex.

- Hands-on experience with modern developer tools, including the Google AI SDK and OpenAI SDK, N8N.

- Deep understanding of AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) and how to orchestrate multi-agent systems.

- Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, and modern backend-as-a-service platforms like Supabase.

- Knowledge of the Model Context Protocol (MCP) to securely connect AI models with external data sources and tools.

- Experience in developing and fine-tuning deep learning models using TensorFlow or PyTorch.

- Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying ML models.

- Soft Skills:

- Strong problem-solving abilities and analytical mindset.

- Excellent communication skills to convey complex ideas effectively.

- Ability to work collaboratively in a team-oriented environment.

## Benefits

- Competitive salary and performance bonuses.

- Opportunity to work on exciting, cutting-edge projects.

- Flexible working hours and a collaborative environment.

- Professional growth opportunities through training and mentorship.

- Health insurance, Learning budgets, etc.

- Disconnect Week during Christmas to new year.

## Skills

### Required
- Python
- transformers
- vLLM
- accelerate
- PEFT/LoRA
- DSPy
- FastAPI
- Flask
- Gemini
- GPT-4
- Claude
- LangChain
- LlamaIndex
- Google AI SDK
- OpenAI SDK
- N8N
- LangGraph
- AutoGen
- CrewAI
- Supabase
- TensorFlow
- PyTorch
- AWS
- Azure
- GCP

### Nice to have
- advanced prompt engineering techniques
- fine-tuning large language models
- multimodal learning
- LLMOps/MLOps
- publications or contributions to open-source projects

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Source: [Apply at jobs.workable.com](https://jobs.workable.com/view/mP6kcMVdccFqxx3vLgjbdx/remote-ai-engineer-in-india-at-keywords-studios?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)