INDICIUM TECNOLOGIA DE DADOS LTDA
São Paulo, SP, BR
Senior AI Engineer
Hybrid São Paulo.
HíbridoClt
Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing — guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners — including Anthropic, Databricks, AWS, OpenAI, and Microsoft — to deliver modern AI with speed, clarity, and lasting impact.
As a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.
The Forward Deployed AI Engineer — SDLC works performing technical and advisory reference at the client. Responsible for implementing complex AI-for-engineering projects from end to end, acting autonomously or coordinating internal and client teams. Possesses deep knowledge of the engineering organization's challenges, multidisciplinary technical depth across the software development lifecycle, and the ability to influence high-level decisions. Serves as a technical ambassador for Indicium, ensuring the quality, value, and expansion of delivered projects.
Their role combines technical depth in AI-Enabled Software Engineering (including Agentic SDLC, skills, context engineering, etc.), with a consultative vision and the ability to operate directly within the client's engineering environment. They seamlessly navigate all stages of the SDLC, with generative and agentic AI serving as their primary vector for value delivery.
Partner directly with stakeholders across Engineering, Platform, DevOps, QA, and Security to understand development bottlenecks and translate them into AI-driven solutions.
Design, develop, and deploy end-to-end AI solutions for the SDLC, including code generation and review agents, automated testing and QA pipelines, incident triage and root-cause analysis assistants, documentation and knowledge-retrieval systems, and GenAI-powered developer workflows.
Modernize client engineering processes by identifying opportunities where AI and coding agents can automate or enhance existing operations — delivering measurable improvements in developer velocity, code quality, deployment frequency, and incident response time.
Mentor and enable client engineers and tech leads through pair programming, code reviews, technical workshops, and knowledge transfer, ensuring long-term self-sufficiency.
Collaborate closely with Platform, Security, and Engineering Governance teams to ensure AI-generated code and agentic workflows comply with internal standards, security policies, and change-management processes.
Establish and promote AI governance best practices across the SDLC, including version control, CI/CD integration, production monitoring, prompt/model evaluation, agent guardrails, and continuous improvement.
Serve as a trusted technical advisor, balancing engineering leadership objectives with sound software-engineering practices and AI engineering rigor.
Software Engineering & SDLC: Strong background in software engineering fundamentals across the full lifecycle — planning, coding, code review, testing, CI/CD, deployment, and observability — ideally with exposure to developer-productivity tooling, static analysis, or engineering metrics (DORA, SPACE, etc.).
Software Development Domain: Experience working within engineering organizations, platform teams, or DevOps functions, with solid understanding of version control workflows, testing strategies, release management, and technical debt.
Programming & Infrastructure: Advanced proficiency in Python and Java, plus experience with CI/CD tooling, containers (Docker/Kubernetes), and cloud infrastructure for production-scale systems.
Generative AI: Practical experience applying LLMs, Retrieval-Augmented Generation (RAG), coding/AI agents, fine-tuning strategies, and evaluation methodologies to solve real engineering problems (e.g., autonomous code review, test generation, agentic refactoring).
Consulting & Stakeholder Management: Proven ability to work directly with engineering leadership and technical stakeholders, gather requirements, communicate technical concepts across audiences, and influence adoption decisions.
Advanced English.
Availability to work on site in São Paulo, twice a week.
Previous experience in software product companies, platform engineering, or developer-tools organizations.
Previous experience in consulting or Forward Deployed Engineering/client-embedded delivery models.
Experience with specialized SDLC domains such as AI-assisted code review, agentic coding tools (e.g., Claude Code, Copilot, Cursor), test automation frameworks, or internal developer platforms (IDPs).
Hands-on experience with AWS Bedrock or equivalent.
Contributions to the Software Engineering or AI community through publications, conference talks, open-source projects, or technical content.
Strong technical reading skills for AI/software-engineering documentation and academic papers.
As part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.
Professional Development
Environment and Culture
Other Benefits
Um CV master alimenta tudo — análise, carta de apresentação, prep de entrevista e o controle de cada candidatura, sem retrabalho.
