Vichara Technologies
Finance • Fintech • SaaS
Vichara Technologies is a company specializing in structured finance and investment technologies, providing advanced risk and analytics solutions for the financial services industry. Vichara develops powerful financial systems for trading analytics, portfolio management, and risk management, focusing on equity and fixed income securities and derivatives. The company offers V* Solutions, a modular software platform for valuation, analysis, and data management, particularly in the areas of RMBS, CMBS, and CLO. Additionally, Vichara provides technology consulting services to develop platforms for trading decision support and enterprise risk management.
201 - 500 employees
💸 Finance
💳 Fintech
☁️ SaaS
AI Engineering Lead
Job not on LinkedIn
October 11
Vichara Technologies
Finance • Fintech • SaaS
Vichara Technologies is a company specializing in structured finance and investment technologies, providing advanced risk and analytics solutions for the financial services industry. Vichara develops powerful financial systems for trading analytics, portfolio management, and risk management, focusing on equity and fixed income securities and derivatives. The company offers V* Solutions, a modular software platform for valuation, analysis, and data management, particularly in the areas of RMBS, CMBS, and CLO. Additionally, Vichara provides technology consulting services to develop platforms for trading decision support and enterprise risk management.
201 - 500 employees
💸 Finance
💳 Fintech
☁️ SaaS
📋 Description
• Architect, design, and lead multi-agent LLM systems using LangGraph, LangChain, and Promptfoo • Build Retrieval-Augmented Generation (RAG) pipelines leveraging hybrid vector search • Define system workflows for summarization, query routing, retrieval, and response generation • Integrate GPT-4o, PaLM 2, and open-weight models for task-specific contextual Q&A • Fine-tune transformer models for document classification, summarization, and sentiment analysis • Implement multi-agent architectures with modular flows • Architect ingestion pipelines for structured and unstructured data • Deploy end-to-end AI systems on AWS EKS / Azure Kubernetes Service
🎯 Requirements
• 5+ years as an AI or ML Engineer • LLMs & GenAI: GPT-4o, PaLM 2, LangGraph, LangChain, Promptfoo, SentenceTransformers • RAG Frameworks: LanceDB, Pinecone, ElasticSearch, FAISS, MongoDB • Agentic AI: LangGraph multi-agent orchestration, routing logic, task decomposition • Fine-Tuning: BERT / domain-specific transformer tuning, evaluation framework design • Infra & MLOps: FastAPI, Docker, Kubernetes (EKS/AKS), Redis Streams, Azure DevOps CI/CD • Monitoring: OpenTelemetry, Signoz, Prometheus • Languages & Tools: Python, SQL, REST APIs, Git, Pandas, NumPy
🏖️ Benefits
• Health insurance • Professional development opportunities
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