LLM Engineer

• Build retrieval systems with chunking and embedding pipelines, hybrid search, reranking, and retrieval-quality evaluation
• Develop stateful, multi-step agentic workflows with tool calling, MCP servers, structured output enforcement, context-window management, deterministic fallbacks, and human-in-the-loop gates
• Create evaluation test sets, model-as-judge scoring, regression tracking, and error analyses
• Implement prompt-injection defense, output validation, guardrails, PII handling, and graceful degradation
• Deploy containerized systems on Azure or AWS with CI/CD and observability
• Own latency, cost, token, and throughput budgets
• Work inside client repositories and environments, including standups and occasional customer calls
• Build production AI systems that are reliable, measurable, and affordable for real users

AI Engineer – Generative AI, Agents

• Develop solutions using Generative AI, automation, and software development
• Create tools for analyzing, documenting, and modernizing legacy applications
• Develop integrations using Python, APIs, and LLMs
• Support reverse engineering initiatives and the generation of technical and functional documentation
• Build accelerators for generating tests, scripts, and development artifacts
• Work closely with architects, COBOL specialists, and business teams
• Ensure the technical quality of deliverables through software engineering best practices

Generative AI Engineer

• Own end-to-end solution design and technical direction for agentic implementations, from business requirements through production delivery
• Lead and coordinate a project team of Conversational AI Developers, QA Engineer, and Integrations Engineer
• Lead design, development, and delivery of production-grade conversational AI applications using Omilia's technology suite
• Analyze business requirements and design solutions to meet them
• Ensure applications follow usability principles and meet KPIs
• Manage the team's backlog and assign and oversee project tasks
• Ensure application quality and timely delivery
• Consult customers and provide guidance on problem resolution and best practices
• Explain technology and application capabilities to clients and stakeholders
• Identify and communicate improvement opportunities
• Communicate progress, risks, and technical decisions to internal and external stakeholders
• Define escalation thresholds and task-handoff structures between autonomous and human agents

LLM Engineer jobs in Brazil

AI Engineer – Generative AI, Agents

Generative AI Engineer

Software Engineer – Conversational AI Application Developer, Tech Lead