AIML Engineer (4-6 years)

Role Overview We are seeking an AI/ML Engineer to design and build intelligent solutions leveraging Generative AI technologies. This role focuses on developing LLM-powered features, implementing retrieval-based architectures, and contributing to next-generation product capabilities. Key Responsibilities Model Development & Integration Design and implement GenAI-powered applications Build RAG pipelines using vector databases and embeddings Integrate LLM APIs or open-source models Develop prompt strategies and evaluation frameworks Data & Pipeline Engineering Prepare and process datasets for model usage Build scalable inference pipelines Optimize latency, accuracy, and cost Experimentation & Innovation Evaluate emerging AI tools and techniques Prototype new AI-driven product capabilities Collaborate with product and engineering teams Deployment & Monitoring Deploy models/services to cloud environments Monitor performance and reliability Implement versioning and governance practices Required Skills 4+ years in AI/ML engineering or applied ML roles Strong Python programming skills Hands-on experience with Generative AI / LLM integration Retrieval-Augmented Generation (RAG) Prompt engineering Familiarity with ML frameworks/libraries Understanding of APIs and deployment workflows Preferred / Good to Have Experience with LangChain/LlamaIndex or similar orchestration tools Vector DB experience (Pinecone, Weaviate, etc.) Cloud ML services Docker/Kubernetes Experience fine-tuning models Soft Skills Curiosity and experimentation mindset Ability to translate business problems into AI solutions Strong collaboration skills