AI/ML Engineer

AI/ML Engineer III – Baazi Games

Location: Delhi NCR | Hybrid

Experience: 5+ years

About the Role

We are looking for an AI/ML Engineer III to join our engineering team and work on building, scaling, and deploying AI/ML solutions for our products. The role requires strong hands-on engineering skills along with the ability to take AI solutions from experimentation to production.

What You'll Do

• Design, develop, and deploy production-grade AI/ML solutions.
• Work on Generative AI, LLMs, RAG, and AI-powered applications.
• Build and optimize ML pipelines and AI services for scalability and reliability.
• Work with Python and modern AI/ML frameworks and libraries.
• Develop solutions involving LLM integration, prompt engineering, embeddings, vector search, and retrieval systems.
• Design and implement RAG pipelines using vector databases and relevant retrieval techniques.
• Experiment with different models, evaluate their performance, and optimize solutions for production use cases.
• Build APIs and backend services to integrate AI/ML capabilities into products.
• Work closely with Product, Engineering, and Data teams to translate business problems into scalable AI solutions.
• Monitor, debug, and continuously improve AI/ML systems in production.
• Contribute to technical architecture, code reviews, and engineering best practices.
• Mentor junior engineers and contribute to technical decision-making.

What We're Looking For

• 5+ years of experience in AI/ML, Machine Learning Engineering, or a related field.
• Strong programming skills in Python.
• Strong understanding of Machine Learning and Deep Learning concepts.
• Hands-on experience with LLMs, Generative AI, and RAG.
• Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience working with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, FAISS, or similar.
• Good understanding of embeddings, semantic search, retrieval, chunking, reranking, and prompt engineering.
• Experience building and deploying AI/ML applications in production.
• Strong understanding of REST APIs, microservices, and backend development.
• Experience with Docker and AWS/cloud environments.
• Good understanding of ML model evaluation, performance optimization, and monitoring.
• Strong problem-solving and system-design skills.

Good to Have

• Experience with Agentic AI / AI Agents.
• Experience with LangGraph or multi-agent architectures.
• Experience with Fine-tuning, LoRA/PEFT, or model adaptation.
• Experience with PyTorch, TensorFlow, Hugging Face Transformers.
• Experience with Redis, Kafka, or other distributed systems.
• Experience working with high-scale consumer products, gaming, fintech, or real-time systems.

Key Skills

Python | Machine Learning | Deep Learning | GenAI | LLM | RAG | LangChain | LangGraph | LlamaIndex | Vector Databases | Embeddings | Prompt Engineering | AI Agents | PyTorch | Hugging Face | FastAPI | Docker | AWS