AI/ML Engineer

Job Title: AI Engineer Job Description We are looking for a highly skilled AI Engineer with 5–8 years of software development experience and strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and Machine Learning. The ideal candidate should have experience designing and deploying AI-powered applications using modern AI frameworks and cloud platforms. The candidate should be passionate about building scalable AI solutions, integrating LLMs into enterprise applications, and working closely with cross-functional teams to deliver innovative AI products. Key Responsibilities: Design, develop, and deploy AI-powered applications using Large Language Models (LLMs). Build Retrieval-Augmented Generation (RAG) pipelines using vector databases. Develop AI Agents using modern orchestration frameworks. Design prompt engineering strategies to improve LLM accuracy. Fine-tune and optimize open-source language models where applicable. Build scalable REST APIs using Python frameworks such as FastAPI or Flask. Integrate AI services into web and enterprise applications. Develop document ingestion pipelines for PDFs, Word, Excel, websites, and structured/unstructured data. Implement semantic search using embeddings and vector databases. Work with LangChain, LlamaIndex, or similar orchestration frameworks. Build conversational AI solutions and enterprise chatbots. Evaluate AI models using metrics such as latency, hallucination rate, relevance, and accuracy. Implement AI guardrails, security, and responsible AI practices. Optimize inference performance and AI application scalability. Collaborate with Product Owners, Architects, Data Engineers, and UI teams. Write clean, maintainable, and well-documented code. Stay updated with emerging AI technologies and industry trends. Required Experience: 5–8 years of software development experience. 2+ years of hands-on experience with Generative AI. Experience building production-grade RAG applications. Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, Azure OpenAI, etc.). Experience with vector databases and embeddings. Experience deploying AI applications on cloud platforms. Strong understanding of prompt engineering techniques. Experience building scalable backend services. Familiarity with AI evaluation and monitoring tools.