Job Title: AI Engineer – Generative AI Location: India (Remote/Hybrid)Experience: 4–10 yearsEmployment Type: Full-timeRole OverviewWe are seeking a highly capable AI Engineer with expertise in Generative AI, conversational AI, and agentic systems to build next-generation intelligent applications. This role involves designing chatbots, copilots, and autonomous AI agents using LLMs like GPT and Claude, combined with RAG pipelines and orchestration frameworks such as LangChain and LangGraph.You will be responsible for developing scalable, production-grade AI systems that can reason, act, and interact with users and enterprise systems.Key ResponsibilitiesDesign and develop AI-powered chatbots and conversational assistants for enterprise use casesBuild and deploy agentic AI systems capable of multi-step reasoning, tool usage, and autonomous decision-makingDevelop RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded responsesImplement orchestration workflows using LangChain and LangGraph for agent-based architecturesIntegrate chatbots with enterprise platforms (CRM, ERP, ticketing systems, databases, APIs)Design multi-agent systems with task delegation, memory, and tool execution capabilitiesDevelop backend services and APIs using Python (FastAPI/Flask)Optimize prompts, memory, and context handling for conversational accuracy and efficiencyImplement conversation flows, guardrails, and fallback mechanismsEnsure responsible AI practices including security, privacy, and hallucination mitigationCollaborate with product, design, and business teams to deliver impactful AI solutionsRequired Skills & Qualifications4+ years of software development experience with strong proficiency in PythonHands-on experience building chatbots or conversational AI systems using LLMs (GPT, Claude)Strong understanding of agentic AI frameworks and autonomous workflowsExperience with LangChain and/or LangGraph for building agents and workflowsSolid experience with RAG architectures, embeddings, and vector databases (Pinecone, FAISS, Weaviate, etc.)Experience in prompt engineering, context management, and conversation designKnowledge of tool integration for agents (APIs, databases, external services)Experience building REST APIs and scalable microservicesFamiliarity with cloud platforms such as AWS, Azure, or GCPUnderstanding of NLP concepts and transformer-based architecturesPreferred QualificationsExperience designing multi-agent ecosystems and agent orchestrationExposure to chatbot frameworks (e.g., Dialogflow, Botpress, Rasa, or custom LLM-based bots)Experience with memory systems (short-term, long-term, vector-based memory)Knowledge of LLMOps / MLOps including monitoring, evaluation, and prompt/version managementExperience building voice-enabled bots or omnichannel conversational systemsExposure to human-in-the-loop systems and feedback learning loopsKey CompetenciesStrong problem-solving with ability to design intelligent, autonomous systemsAbility to translate business workflows into AI-driven conversational and agentic solutionsExcellent communication and stakeholder managementPassion for cutting-edge AI innovations and rapid prototyping
Job Title
AI Engineer – Generative AI