AI Software Engineering | Senior

Indicium

São Paulo

Hybrid

BRL 350,000 - 650,000

Full time

6 days ago

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Benefits offered by this job

Remote work

Annual bonus

Health insurance

Mentorship program

Professional development

Job summary

Indicium AI is seeking a Forward Deployed AI Engineer — SDLC in São Paulo. You will implement complex AI-for-engineering projects end-to-end, acting autonomously or coordinating client and internal teams.

The role blends deep AI/SDLC expertise with a consultative approach, working directly within client engineering environments to deliver measurable improvements in velocity, code quality, and resilience. Availability to work on site in São Paulo twice weekly is expected.

Qualifications

Strong background across the full software lifecycle from planning to monitoring.
Hands-on experience with AI-enabled software engineering and agentic tools.
Ability to work with engineering leadership and translate requirements into AI solutions.
Proficiency in Python and Java; familiarity with CI/CD, containers, and cloud infra.
Experience applying generative AI, RAG, and AI agents to engineering problems.
Strong communication skills and ability to influence adoption decisions.

Responsibilities

Partner with stakeholders across Engineering, Platform, DevOps, QA and Security to identify bottlenecks and translate into AI-driven solutions.
Design, develop, and deploy end-to-end AI solutions for the SDLC, including code-gen/review agents, automated testing, and knowledge systems.
Modernize client engineering processes by automating operations to improve velocity, quality, deployment frequency, and incident response.
Mentor client engineers through pair programming, code reviews, and workshops to enable long-term self-sufficiency.
Collaborate with Platform, Security, and Governance teams to ensure AI-generated code complies with standards and policies.
Establish AI governance best practices across SDLC, including version control, CI/CD, monitoring, and guardrails.
Serve as trusted technical advisor balancing engineering leadership with sound software and AI practices.

Skills

SDLC

AI engineering

Stakeholder mgmt

Python

Java

CI/CD

Docker/Kubernetes

Cloud infra

Tools

Docker

Kubernetes

CI/CD tooling

Cloud platforms

Job description

About Indicium AI

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.

About the Opportunity

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.

Key Responsibilities

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.

Preferred Qualifications & Experience

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.

Nice to haves

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.

Why Indicium AI

Work on AI projects that actually transform the world's largest enterprises
Use cutting-edge AI tools and technologies every single day
Collaborate with global teams on high-impact, real-world solutions
Be backed by a supportive team that’s genuinely in your corner
Benefit from serious investment in your learning and career growth
Earn competitive compensation and benefits
Enjoy company events and gatherings that bring the global team together
Join a fast-growing company where ambitious careers thrive

Selection Process Stages

Interview with Talent Acquisition
Interview with Technical Management
Evidence Storage

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.

Some of the benefits offered by Indicium:

Our Culture

Modern, transparent, and inclusive management.
Dynamic environment, open to innovation and creativity.
Data-driven culture.
Autonomy and engagement.
Light and relaxed atmosphere with a focus on challenges.
High-growth environment (Fast-paced scaling).
Remote work and flexible hours.

For Your Professional Development

Structured career path.
Feedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).
Mentorship Program for dedicated support during onboarding.
Experienced and collaborative team.
High-impact projects.
Agile methodologies and cross-functional teams.
Free weekly English conversation classes.
Certification Program (full financial support and performance rewards).
Tutoring opportunities at Indicium Academy.
Internal initiatives such as "Tech Tracks" and "Databloggers."