Top Tech Jobs & Startup Jobs

Evolve an AI platform for entity management, knowledge graphs, governance, search, and business context discovery. Design NER and entity extraction pipelines using LLMs and NLP technologies, build graph-based relationship models, improve entity resolution and retrieval, implement permission-aware access controls, integrate enterprise data sources, and develop scalable AI-powered workflows. The role also requires architecture, data modeling, stakeholder collaboration, mentoring, and validation of AI-assisted development outputs.

Build and evaluate LLM-powered agents, including evaluation frameworks, guardrails, moderation, prompts, MCP servers, and tool integrations. Monitor quality, latency, performance, and costs with Langfuse; support fine-tuning and AI workflow prototyping. Develop FastAPI REST services in Python and collaborate with engineering, data science, and compliance teams to deliver secure, reliable, compliant AI solutions.

Develop and maintain full-stack web applications using Elixir/Phoenix or Ruby on Rails, React, Next.js, TypeScript, and MUI. Build scalable backend services, optimize PostgreSQL databases, integrate APIs, and deploy applications on AWS and Vercel. Collaborate through Git and GitLab while troubleshooting and optimizing production-grade software.

Develop and maintain enterprise web applications and Java backend microservices with Angular frontends. Build REST APIs, integrations, scalable user interfaces, and database solutions while applying OOP, SOLID principles, design patterns, and automated testing. Participate in code reviews, CI/CD, Agile development, troubleshooting, and the full software development lifecycle. Collaborate with cross-functional teams to deliver reliable, maintainable end-to-end solutions.

Design, develop, and maintain enterprise web applications and Java microservices with Angular front ends. Build REST APIs, integrations, scalable distributed systems, and high-performance user interfaces. Apply software design principles, testing practices, code reviews, CI/CD, and Agile methodologies. Troubleshoot production issues and collaborate with cross-functional teams throughout the software development lifecycle.

Design, develop, and maintain enterprise full-stack applications using Java, Spring, Angular, TypeScript, and microservices. Build REST APIs, scalable integrations, and responsive user interfaces while applying software design principles and testing best practices. Participate in code reviews, troubleshoot production issues, collaborate across teams, and contribute throughout the software development lifecycle. The role requires strong database, CI/CD, Git, and Agile experience, with remote work limited to Costa Rica or Peru.

Develop and maintain enterprise web applications and Java backend microservices with Angular front ends. Build REST APIs, scalable integrations, and high-performance user interfaces using TypeScript, RxJS, HTML5, and SCSS. Apply software design principles, testing practices, code reviews, CI/CD, and Agile methods. Troubleshoot production issues and collaborate cross-functionally throughout the software development lifecycle.

Build automated evaluation frameworks for AI agents, RAG solutions, prompts, tools, workflows, and model outputs. Test hallucinations, grounding, citations, prompt injection, tool selection, and multi-agent behavior. Develop UI, API, integration, performance, regression, and end-to-end automation using Python, Playwright, and Selenium. Implement CI/CD quality gates and monitor production AI quality, drift, reliability, and recurring failures.

Build automated evaluation frameworks for AI agents, RAG systems, prompts, tools, workflows, and model outputs. Test hallucinations, grounding, citation accuracy, prompt injection, tool selection, and multi-agent behavior. Develop UI, API, integration, performance, regression, and end-to-end automation using Python, Playwright, and Selenium. Implement CI/CD quality gates and monitor AI quality, drift, reliability, and production failures.

Build automated quality evaluation frameworks for AI agents, RAG solutions, prompts, tools, workflows, and model outputs. Test hallucinations, grounding, citations, prompt injection, tool selection, and multi-agent behavior. Develop UI, API, integration, performance, regression, and end-to-end automation using Python, Playwright, and Selenium. Implement CI/CD quality gates and monitor production AI quality, drift, reliability, and failure patterns.