Sr. AI/ML Engineer

Senior AI/ML Engineer Pune, Maharashtra (Onsite) Experience: 610 Years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks. This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments. Key Responsibilities Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutionsBuild and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelinesDevelop and deploy machine learning models using XGBoost, PyTorch, and TensorFlowDesign deep learning solutions including LSTM and transformer-based architecturesBuild semantic search and vector retrieval systems using modern vector databasesDevelop advanced AI workflows using LangChain and LangGraphDesign and implement multi-agent AI systems and orchestration frameworksLead AI model deployment, monitoring, optimization, and lifecycle managementCollaborate with cross-functional teams to translate business requirements into scalable AI solutionsMentor junior engineers and contribute to technical leadership initiativesDrive AI architecture decisions, performance tuning, and best practicesRequired Skills & Qualifications Must-Have Technical Skills 610 years of software engineering and AI/ML development experienceStrong experience building and deploying production AI/ML systemsHands-on expertise with RAG architectures and semantic retrieval systemsExperience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or QdrantStrong knowledge of Machine Learning and Deep Learning conceptsHands-on experience with:PyTorch and/or TensorFlowXGBoostLangChainLangGraphExperience deploying AI applications in production environmentsStrong debugging, performance optimization, and troubleshooting skillsExcellent Python programming skillsUnderstanding of REST APIs, microservices, and scalable system designPreferred Skills MLflowWeights & Biases (W&B)KubeflowTransformer architectures and LLM internalsMLOps practices and model lifecycle managementMulti-agent AI frameworksCloud platforms such as AWS, Azure, or GCPDocker and KubernetesCI/CD pipelines for AI applicationsIdeal Candidate Profile You are someone who: Has successfully deployed AI solutions into production environmentsUnderstands enterprise-scale AI architecture and design patternsHas practical experience with retrieval systems and vector searchCan independently drive AI initiatives from concept to deploymentEnjoys solving complex engineering challengesDemonstrates strong ownership, leadership, and mentoring capabilitiesThrives in a fast-paced product and engineering environmentWho Should Not Apply Prompt-engineering-only profilesCandidates with only academic or research exposureTutorial/demo-level GenAI practitionersEngineers without production deployment experienceProfessionals lacking hands-on implementation expertiseEducational Qualification B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related disciplineMaster's degree is a plusWork Location Pune, Maharashtra (Onsite) Hiring Preference Immediate joiners preferredCandidates currently working on production AI/ML systems will be given preferenceKeywords AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI Senior AI/ML Engineer Pune, Maharashtra (Onsite) Experience: 610 Years Employment Type: Full-Time About the Role We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks. This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments. Key Responsibilities Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutionsBuild and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelinesDevelop and deploy machine learning models using XGBoost, PyTorch, and TensorFlowDesign deep learning solut