Technical Lead, AI Initiatives

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Juniper Square

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

🏠 Imobiliário

☁️ SaaS

💰 $75.000.000 Series C em 2019-11

Finance • Real Estate • SaaS

A Juniper Square é uma empresa que oferece uma plataforma abrangente e soluções personalizadas para parcerias de investimento privado. Fundada em 2014, a empresa se concentra em possibilitar uma conexão e comunicação contínua entre General Partners (GPs) e Limited Partners (LPs) ao longo de todo o ciclo de vida do investimento. A tecnologia da Juniper Square é feita sob medida para apoiar empresas de imóveis comerciais, private equity e capital de risco de todos os tamanhos. A plataforma oferece serviços como administração de fundos, captação de recursos, gestão de investidores, compliance e relatórios para investidores, todos destinados a aprimorar a transparência, a governança de dados e a experiência geral do investidor.

Descrição

• Design and implement multi-agent systems, including agent orchestration, delegation, and tool interaction patterns. • Build scalable RAG (Retrieval-Augmented Generation) architectures using vector databases, embedding pipelines, and data chunking strategies. • Integrate and extend MCP (Model Context Protocol) tools for robust model-tool communication and workflow automation. • Lead development of AI-based features, prototypes, and production solutions using LLM APIs or self-hosted models. • Architect and optimize prompt engineering, prompt chains, agent loops, and refinement pipelines. • Implement and maintain agent evaluation frameworks (agent evals, scenario tests, regression testing). • Design automated evaluation harnesses for LLM quality, reliability, hallucination control, and performance metrics. • Drive iterative improvements through A/B testing, reward models, and feedback loops. • Monitor system performance, latency, cost, and reliability — and implement optimization strategies. • Lead and mentor engineers working on AI, data, and backend components. • Collaborate with product managers, researchers, and cross-functional teams to align tech strategy with business outcomes. • Conduct code reviews, enforce best practices, and maintain architectural standards. • Own technical roadmaps, sprint planning, and engineering execution. • Work with cloud platforms (AWS/GCP/Azure) to deploy scalable AI services. • Integrate vector databases (Pinecone, Weaviate, Elasticsearch, etc.). • Build APIs and microservices to expose AI capabilities to internal and external stakeholders. • Maintain secure, compliant, and efficient data pipelines for ingestion and retrieval.

🎯 Requisitos

• Bachelor’s/Master’s degree in Computer Science, Engineering, AI, or related field. • 8+ years of software engineering experience with strong backend architecture skills. • 3+ years deep experience with LLMs, GPT models, agents, or advanced ML systems. • Strong hands-on experience with: • - MCP tools and LLM tool integration • - Agent frameworks (e.g., OpenAI Agents, LangChain, LlamaIndex, custom agents) • - RAG pipelines, embedding models, vector stores • - Agent evaluation, reliability testing, and model refinements • Proficiency in Python, TypeScript/Node.js, or similar languages. • Experience deploying LLM apps and APIs in production environments. • Deep understanding of AI limitations, hallucination control, and safety measures.

🏖️ Benefícios

• Flexible working arrangements • Professional development opportunities • Competitive salary