10+ years building distributed / cloud systems, 3+ years in conversational AI or GenAI.
Deep expertise with Python , Node.Js and Java. including strong API-first design mindset (REST / gRPC / GraphQL).
Hands-on with any two AWS Azure or GCP , plus Docker, Kubernetes, and IaC (Terraform, AWS CDK).
Proven delivery using LangChain, LlamaIndex, Hugging Face Transformers , and at least one vector store (Pinecone, FAISS, pgvector, OpenSearch, etc).
Demonstrated MLOps / LLMOps practice : CI / CD for models / prompts, automated testing, canary & rollback, lineage tracking.
Experience fine-tuning or aligning large models (LoRA, QLoRA, PEFT, RLHF) and benchmarking them.
Track record implementing observability, cost-guardrails, and guardrails for toxicity / hallucination.
Understanding of end-to-end solution patterns of chatbot solutions and related trade-offs.
Familiarity with enterprise compliance frameworks (DPDPA, GDPR) and security architecture.
Strong communication & leadership skills, able to influence across functions and mentor engineers.
Implement current trends and best practices in AI / ML.
Bachelor's degree in computer science, engineering, information technology, artificial intelligence, or a related field. (or equivalent professional experience)
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Platform Architect • Bengaluru, Republic Of India, IN
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