(Summary generated by AI based on the full job description)
The project focuses on building enterprise AI solutions combining LLM, agentic workflows, RAG and cloud-native platforms. Required strong Python skills, hands-on experience with LLM/Agent frameworks (e.g. LangChain, AutoGen), Elasticsearch, vector DBs, SQL/PostgreSQL and Docker/Kubernetes on cloud (AWS/Azure/GCP). Responsibilities include designing, building and operating AI/ML services, delivering production GenAI with tool calling, memory and HITL, creating OCR and extraction pipelines, fine-tuning models (SFT/LoRA/QLoRA), scaling on K8s and improving reliability, observability and security.




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