
Senior AI Engineer
Posted 9 hours ago

Posted 9 hours ago
This is a fully remote position, open to applicants in Brazil, +1 more country.
• Design and develop client software solutions from initial architecture to thoroughly tested code.
• Create, customize, and manage agents, skills, subagents, commands, and harnesses.
• Leverage development agents and harnesses across the team to modernize software development and minimize lead time.
• Utilize modern software architecture and engineering principles to construct, evaluate, and critique code and solutions.
• Convert functional requirements into effective, straightforward, and scalable technical solutions.
• Design and evaluate solutions, agents, and skills through assessments, tests, and red teaming.
• Make decisions regarding the token economy to strike a balance between solution quality and inference costs.
• Architect and develop agentic solutions utilizing foundation-model APIs, RAG, tool orchestration, runtime frameworks, prompts, and guardrails.
• Oversee engineering and context data pipelines that integrate internal sources and vector databases.
• Implement observability instrumentation for applications and agents while monitoring system performance.
• Review and assess AI-generated outputs against technical, quality, and business standards.
• Assign specialized tasks to agents while keeping a deep technical understanding of the specialty stack.
• Deliver production-ready solutions that meet deployment and operational needs.
• Uphold ethics, privacy, data security, and compliance standards.
• Lead the design of solutions for intricate problems and take ownership of solutions from start to finish.
• Establish reusable agents, skills, and harnesses across the team.
• Provide guidance on prompt engineering, evaluations, and red teaming decisions.
• Mentor colleagues, review code and standards, and collaborate with AI Deployment Engineers and AI Orchestrators.
• Proven experience in architecting and developing software solutions from architecture to tested code.
• Proficiency in working across any technology stack.
• Familiarity with agentic SDLC and AI-assisted software development methodologies.
• Strong knowledge of modern software architecture and engineering principles.
• Experience with microservices, event-driven systems, queues, CI/CD, TDD, and automation practices.
• Ability to translate functional requirements into effective, scalable technical solutions.
• Experience in designing and evaluating solutions and agents through assessments, testing, and red teaming.
• Understanding of hallucinations, prompt injections, and data leaks.
• Capability to make decisions regarding token economy, considering context size, RAG strategies, and agent calls.
• Proficient in using foundation model APIs, RAG, tool orchestration, orchestration and runtime frameworks, system prompts, and guardrails.
• Experience managing context data pipelines, internal data sources, and vector databases.
• Familiarity with implementing observability instrumentation in applications and agent code.
• Ability to critically evaluate AI-generated outputs.
• Knowledge of ethics, privacy, data security, and compliance standards.
• Capability to fine-tune models rather than developing them from scratch.
• Comprehensive health and dental insurance.
• Meal and food allowances.
• Childcare assistance programs.
• Extended paternity leave.
• Access to gym partnerships and health and wellness professionals through Wellhub (Gympass) TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance coverage.
• Continuous learning opportunities via CI&T University.
• Membership in a discount club.
• Free online platform dedicated to physical, mental, and overall well-being.
• Courses on pregnancy and responsible parenting.
• Collaborations with online learning platforms.
• Access to a language learning platform.
• Inclusion support and accommodations throughout the selection process.
• A dedicated Health and Well-being team, inclusion specialists, and affinity groups.
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