Job Description

Job description:

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Experienced Architect with 12-20 years in designing and delivering enterprise-grade fullstack and cloud-native applications, enhanced by strong AI/ML capabilities. Expert in architecting scalable, modular applications using ReactJS, NodeJS, Python, and Java across microservices and event-driven ecosystems. Deep knowledge of any of the cloud platforms--AWS, Azure, GCP--with hands-on experience in serverless computing, container orchestration (Docker, Kubernetes), and secure CI/CD pipelines. Strong foundation in AI/ML, LLMs (OpenAI, Vertex AI, Hugging Face), prompt engineering, and RAG (Retrieval-Augmented Generation) using frameworks like LangChain and LlamaIndex. Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Firestore) databases for structured and unstructured data modeling, storage, and high-performance querying. Skilled in building intelligent, user-centric features by embedding AI capabilities into fullstack workflows--delivering context-aware and personalized experiences. Experienced in vector databases (FAISS, Pinecone, Weaviate) and integrating semantic search into cloud-native applications. Has knowledge in MLOps practices using MLflow, Kubeflow, and SageMaker for managing end-to-end ML lifecycle and scalable deployments. Leads cross-functional teams across architecture, engineering, and AI innovation--translating business goals into robust digital platforms. Strong client-facing presence in solutioning, pre-sales, and roadmap alignment for AI-driven, cloud-first transformation. Continuously upskilling on GenAI advancements, multi-modal systems, and best practices in scalable fullstack and AI architectures.

Education - BE/B.Tech/ME/M.Tech/MCA/MSc (Computers)

Interview rounds - 3 Technical rounds

Experience level: 12-20 Years

If you're interested in this opportunity, we'd be happy to receive your updated CV. Simply click the email link below, or copy and paste the email address:

careers@innominds.com

or rvadde@innominds.com