AI Engineer

Job Title : AI EngineerExperience : 2+ YearsLocation : Mumbai (Onsite)Employment Type : Full-TimeReports To : AI ArchitectAbout the Role :We are looking for an AI Engineer with 2+ years of experience to design, assess, validate, and deploy AI solutions for enterprise clients. This is a hands-on role focused on building scalable, production-ready AI systems aligned with business outcomes.The ideal candidate should enjoy solving complex problems, working with emerging AI technologies, and translating business needs into practical AI solutions.Mandatory Skills :Python, Large Language Models (LLMs), Generative AI, AI Agents/Agentic Workflows, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, OpenAI APIs (or equivalent), Vector Databases, REST APIs, AI Workflow Orchestration, Client-Facing Experience, and Strong Analytical & Problem-Solving Skills.Key Responsibilities :Analyze and improve existing AI workflows, LLM implementations, and AI agents.Design AI solutions and agent workflows aligned with business objectives.Define and implement AI guardrails, governance practices, and risk controls.Build evaluation frameworks to measure accuracy, reliability, latency, and cost efficiency.Ensure AI systems are scalable, secure, and production-ready.Work closely with stakeholders and communicate technical concepts clearly.Required Skills & Qualifications :2+ years of experience in AI/ML Engineering, Generative AI, Machine Learning, or related domains.Strong analytical thinking and problem-solving skills with a systems-oriented mindset.Hands-on experience with :Large Language Models (LLMs)AI Agents and Agentic workflowsPrompt EngineeringRetrieval-Augmented Generation (RAG)AI workflow orchestrationStrong proficiency in :PythonREST APIsData structures and algorithmsExperience working with:LangChain or similar frameworksOpenAI APIs or equivalent AI platformsVector databasesEmbedding modelsUnderstanding of :AI governanceModel evaluation techniquesResponsible AI principlesStrong written and verbal communication skills.Preferred Skills :Experience in client-facing or consulting environments.Exposure to enterprise AI implementations and production deployments.Experience with :Cloud platforms (AWS, Azure, or GCP)Docker and containerized deploymentsMLOps practicesAI monitoring and observability toolsExposure to regulated or high-risk industries is a plus.Educational Qualification :Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field.Equivalent practical experience with strong projects and technical expertise may also be considered.