AI/ML Engineer II

Liquidnitro; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Liquidnitro Games, India, invites an AI Engineer to build intelligent systems for live service games. You will work at the intersection of AI, data engineering, and game analytics to deploy advanced ML and generative AI solutions, predicting player behavior and delivering personalized recommendations.

You’ll design and deploy RAG-based pipelines, agentic workflows, and multi-agent collaborations to optimize live operations and feature interventions.

Qualifications

• 5+ years of AI/ML experience, with recent hands-on work in LLMs or generative AI.
• Strong Python and ML/LLM framework knowledge (PyTorch, HuggingFace).
• Familiar with RAG, embeddings, vector search systems (FAISS, Weaviate, Pinecone).
• Experience deploying fine-tuned models with LoRA, QLoRA, or PEFT.
• Experience orchestrating agentic workflows with AutoGen, LangGraph, or OpenAgents.
• Experience with MLOps for training, evaluating, and deploying models.

Responsibilities

• Design ML models to process large-scale player/game data.
• Build and fine-tune LLM-based models for behavior and telemetry analyses.
• Design and deploy RAG pipelines for contextual, insight-rich recommendations.
• Implement agentic workflows for anomaly detection, churn prediction, and economy balancing.
• Develop multi-agent systems (A2A) for live operations and AB testing.
• Create Multi-Chain Prompts to drive complex game metrics insights.
• Collaborate with data engineering to maintain scalable real-time/data pipelines.
• Work with game designers to translate insights into live interventions.
• Evaluate open-source LLMs and vector databases to keep AI stack current.
• Contribute to internal tools enabling non-technical teams with AI dashboards.

Skills

Python

PyTorch

HuggingFace Transformers

LangChain

LlamaIndex

RAG

Vector search

MLOps

AWS SageMaker

GCP Vertex AI

Azure ML

Tools

FAISS

Weaviate

Pinecone

AutoGen

LangGraph

OpenAgents

LoRA

QLoRA

PEFT

Job description

Liquidnitro Games is India’sflagship live services and game production company, founded by industryveterans with a proven track record in producing massively successful games& live services. For game companies, studios, and publishers worldwide – weoffer world-class game development expertise to power creativity, growth, andprofitability in their games.

What’s in it?

As an AI Engineer, you’llplay a pivotal role in building intelligent systems that unlock the fullpotential of our live service games. Working at the intersection of AI, dataengineering, and game analytics, you’ll develop and deploy advanced machine learningand generative AI solutions to extract actionable insights, predict playerbehavior, and drive personalized recommendations. You will also exploreagent-based automation to scale decision-making and optimize live gameoperations.

This role demands a stronggrasp of modern AI paradigms including LLM fine-tuning, Retrieval-AugmentedGeneration (RAG), Agentic Workflows, Multi-Chain Prompting (MCPs), andAgent-to-Agent (A2A) interactions..

What You’ll Do

• Design andimplement machine learning models to process player and gameplay data at scale
  
• Build andfine-tune LLM-based models to interpret and analyze player behavior and gametelemetry
  
• Design and deployRAG pipelines combining structured data and unstructured content to powercontextual, insight-rich recommendations
  
• Implement agenticworkflows that use goal-oriented agents for tasks like anomaly detection, churnprediction, or economy balancing
  
• Developmulti-agent systems that can collaborate (A2A) to support live operations, ABtesting, and personalized player experiences
  
• Craft Multi-ChainPrompts (MCPs) to drive layered, complex insights and recommendations acrossin-game metrics
  
• Collaborate withdata engineering to maintain robust, scalable pipelines that support real-timeand batch data processing
  
• Work with gamedesigners and producers to translate insights into live interventions andfeature optimizations
  
• Evaluate andintegrate open-source LLMs, vector databases, and toolkits to keep our AI stackmodern and cost-effective
  
• Contribute tointernal toolsets that empower non-technical teams with AI-powered dashboardsand automation capabilities
  

What We’re Looking For

• 5+ years ofexperience in AI/ML, with recent hands-on expertise in LLMs or generative AIapplications
  
• Solid experiencewith Python and key ML/LLM frameworks (e.g., PyTorch, HuggingFace Transformers,LangChain, LlamaIndex)
  
• Understanding ofRAG, embeddings, vector search systems (e.g., FAISS, Weaviate, Pinecone), andprompt engineering
  
• Experiencebuilding and deploying fine-tuned models using techniques like LoRA, QLoRA, orPEFT
  
• Familiarity withorchestrating agentic workflows using tools like AutoGen, LangGraph, orOpenAgents
  
• Experience withMLOps for training, evaluating, versioning, and deploying models in production
  
• Experience withcloud ML and data platforms (AWS SageMaker, GCP Vertex AI, Azure ML, etc).
  
• Experiencebuilding/scaling AI/ML data pipelines with cloud-native tools
  
• Proven trackrecord of applying ML to real-world data systems at scale (especially playersegmentation, recommendations, and anomaly detection)
  
• Strong softwareengineering fundamentals with experience integrating AI into user-facingproducts or game backends
  

Nice to Have

• Experience withgame analytics platforms, telemetry ingestion, or user behavior modeling ingames
  
• Background inlive service operations or experience working with economy balancing tools
  
• Familiarity withreal-time inference and GPU optimization for AI models
  
• Understanding ofAI safety, hallucination mitigation, and response grounding
  
• Strong at mappinggame development needs to practical AI applications