Senior GenAI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GenAI Engineer based in Brazil.

This role offers the opportunity to design and scale advanced Generative AI solutions that create measurable business impact for enterprise environments. You will work at the intersection of AI engineering, software development, and cloud technologies to build secure and production-ready AI applications. The position focuses on developing Agentic AI systems, LLM-powered workflows, and intelligent automation solutions for complex business needs. You will collaborate with multidisciplinary teams, including engineers, architects, data specialists, and business stakeholders, to deliver innovative AI capabilities. This opportunity is ideal for an experienced AI engineer who enjoys solving challenging technical problems and shaping the future of enterprise AI adoption. You will contribute to building reliable, scalable, and observable AI platforms while working in a global, technology-driven environment.

Accountabilities:: As a Senior GenAI Engineer, you will be responsible for designing, developing, and scaling enterprise-grade Generative AI and Agentic AI solutions. You will contribute to the full AI application lifecycle, from architecture and implementation to optimization, monitoring, and continuous improvement.

Design, develop, and maintain production-ready Generative AI and Agentic AI applications.

Build customizable AI agent solutions using frameworks such as LangChain, DeepAgents, Strands AI, or similar agent development frameworks.

Develop scalable Python-based tooling, reusable AI components, and backend workflows.

Implement Retrieval-Augmented Generation (RAG) pipelines, external knowledge integrations, memory management, and context orchestration strategies.

Create secure execution environments for AI agents, including permissions management, secrets handling, network restrictions, and audit capabilities.

Design and maintain MCP (Multi-Cloud Platform) tooling with authentication, schema management, versioning, retries, and secure execution boundaries.

Implement observability solutions including tracing, logging, monitoring, and performance analysis for AI models, prompts, tool calls, latency, and costs.

Build automated evaluation and testing frameworks for AI systems, including regression testing, quality validation, hallucination detection, and benchmark datasets.

Develop human-in-the-loop workflows for sensitive or high-impact AI operations.

Optimize prompt management, model routing, fallback mechanisms, context strategies, and token usage.

Collaborate with Data, Analytics, Platform Engineering, and business teams to deliver AI solutions aligned with strategic objectives.

Contribute to AI engineering best practices, architecture decisions, and continuous improvement initiatives.

Requirements:

The ideal candidate is an experienced AI engineer with strong software engineering fundamentals and hands-on expertise in Generative AI technologies. You should be comfortable building complex AI systems, working with global teams, and delivering reliable solutions in dynamic environments.

Advanced or fluent English proficiency (C1 or higher) is required.

Experience working with international clients and distributed global teams.

Strong hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.

Strong programming skills in Python and knowledge of software engineering best practices.

Experience designing secure, scalable, and production-grade AI systems.

Solid understanding of AI model evaluation, deployment processes, observability, and operational reliability.

Experience building agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration systems.

Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies.

Ability to work independently, manage ambiguity, and solve complex technical challenges.

Strong analytical thinking, problem-solving abilities, and collaboration skills.

Nice to have:

Experience deploying Generative AI solutions using Azure, AWS, or Google Cloud Platform.

Familiarity with enterprise AI platforms such as Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar solutions.

Experience with Docker, Kubernetes, and containerized AI workloads.

Knowledge of MLOps practices and AI/ML pipeline automation.

Understanding of AI security, governance, compliance, and data privacy requirements.

Certifications related to Generative AI, Machine Learning, Cloud Computing, or AI Engineering.

Benefits:

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave benefits.

Access to wellness partnerships, gyms, and health professionals.

Profit sharing and results-based participation programs.

Life insurance coverage.

Continuous learning opportunities through internal learning platforms.

Discounts through partner programs.

Access to physical, mental, and overall wellness resources.

Parenting and family support programs.

Language learning platforms and professional development resources.

Partnerships with online learning providers.

Opportunity to work on large-scale AI transformation projects with global clients.

Collaborative environment focused on innovation, growth, and advanced technology.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1