AI Engineer

🔥 12 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

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Logo of Keywords Studios

Keywords Studios

10,000+ employees

Founded 1998

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Keywords Studios is the #1 global games services provider, offering an end-to-end platform supercharged by technology. They deliver technical and creative solutions to the global video games industry, with services including game development, art services, audio development, QA testing, localization, marketing services, and player engagement. Keywords Studios also works on accessibility services, content globalization, and advanced AI & technology solutions. Founded on decades of experience, they are committed to responsible business practices and provide industry-wide insights for unparalleled experiences to audiences around the world.

📋 Description

• 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 AI model performance to meet business requirements. • Stay updated with advancements in GenAI, LLMs, and agentic systems, and propose innovative product solutions.

🎯 Requirements

• Bachelor's or Master's degree or PhD in Computer Science, Data Science, or a related field. • 3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations. • Strong proficiency in Python and experience with advanced AI/LLM ecosystem libraries, including transformers, vLLM, accelerate, PEFT/LoRA, or DSPy. • Experience building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production. • Strong expertise building applications using LLMs such as Gemini, GPT-4, or Claude. • Experience with orchestration frameworks such as LangChain or LlamaIndex. • Hands-on experience with Google AI SDK, OpenAI SDK, and N8N. • Deep understanding of AI agentic frameworks such as LangGraph, AutoGen, or CrewAI. • Familiarity with vector databases, RAG pipelines, and platforms such as Supabase. • Knowledge of the Model Context Protocol (MCP). • Experience developing and fine-tuning deep learning models using TensorFlow or PyTorch. • Knowledge of AWS, Azure, or GCP for deploying ML models. • Strong problem-solving abilities and analytical mindset. • Excellent communication skills. • Ability to work collaboratively in a team-oriented environment. • Preferred: advanced prompt engineering techniques, domain-specific LLM fine-tuning, multimodal learning, LLMOps/MLOps including containerization and CI/CD, and publications or open-source contributions.

🏖️ 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. • Disconnect Week during Christmas to new year.

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