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2 days ago
Requirements and responsibilities
ZIVENTRA Is HiringRole - Senior Data ScientistKey ResponsibilitiesDesign, develop, and optimize AI-driven chatbot systems using LLMs and RAG architectures.Implement retrieval-based and generative AI pipelines for accurate and context-aware responses.Build and orchestrate Agentic AI workflows using frameworks such as LangGraph, CrewAI, or AWS Bedrock Agents.Design and implement tooling layers for LLMs, enabling structured API calling, function execution, and workflow automation.Work with MySQL databases to extract, transform, and serve structured data for AI interactions.Develop and optimize embeddings and vector search pipelines for high-relevance retrieval.Fine-tune and customize LLM behavior for domain-specific use cases (scheduling, order lifecycle, customer interactions).Integrate chatbot systems with communication platforms (e.g., voice via Vapi, SMS/voice via Twilio).Collaborate with backend and platform teams to deploy AI services on AWS (Fargate, Lambda).Monitor, evaluate, and continuously improve model performance using feedback loops and analytics.Required5+ years of experience in NLP, machine learning, or applied AI systemsStrong hands-on experience with LLMs (GPT, LLaMA, Mistral, Claude, etc.)Proficiency in Python and modern AI orchestration frameworks (e.g., LangChain or similar).Experience with Agentic AI frameworks such as LangGraph, CrewAI, or AWS Bedrock.Strong understanding of tool calling / function calling patterns for LLMs.Solid experience with MySQL (query optimization, indexing, schema design)Experience with vector databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.)Experience deploying AI services using Docker and AWS (Fargate, Lambda)Strong understanding of embeddings, retrieval mechanisms, and prompt engineeringPreferred Qualifications.Experience building AI chatbots in domains such as e-commerce, logistics, or customer support.Experience integrating voice and messaging systems (e.g., Vapi, Twilio).Familiarity with multi-agent systems and orchestration patterns.Understanding of MLOps practices, observability, and CI/CD for AI systems.Experience designing low-latency, high-availability AI systems at scale.Someone who can go beyond “calling an LLM API” and design full AI systems.A builder mindset with ownership of end-to-end AI lifecycle (design → deploy → optimize)Tech Stack Context (for Candidates).LLM Stack: OpenAI / LLaMA / Mistral / Claude.Agent Frameworks: LangGraph, CrewAI, AWS Bedrock.Backend & Infra: AWS Lambda, AWS Fargate.Data Layer: MySQL + Vector Databases.Interested can share your CV at tamnna@ziventra.com or tag someone suitable.
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