---
title: '[Job - 31015] Master Software Developer ( AI Generative) at CI&T'
canonical: 'https://feeny.ai/job/job-31015-master-software-developer-ai-generative-ci-t-brazil-ehf3szsrqym0'
type: 'job'
last_seen: '2026-09-07'
---

# [Job - 31015] Master Software Developer ( AI Generative) at CI&T

- **Company:** CI&T
- **Location:** Brazil
- **Work type:** remote
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/ciandt/10de7b79-fbe3-4522-b8ce-74b76815c0fb

## Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

At CI&T, we are looking for a Master Software Developer to join our global team and help design, build, and scale advanced Generative AI and Agentic AI solutions for enterprise clients. This role is ideal for a professional with deep hands-on experience in Generative AI, LLMs, RAG, and agent-based architectures, combined with strong software engineering, cloud, and production-grade AI platform expertise. You will work on the development of secure, scalable, observable, and reliable AI applications that support complex business workflows and large-scale enterprise environments.

## Key Responsibilities

- Design, develop, and maintain GenAI and Agentic AI applications for production environments.
- Build customizable agent solutions using frameworks such as LangChain, DeepAgents, Strands AI, or similar Agent SDKs.
- Develop production-grade Python tooling and reusable AI components.
- Implement RAG pipelines, external knowledge integrations, memory management, and context orchestration strategies.
- Design secure sandboxed execution environments for agent tooling, including permissions, secrets management, network restrictions, and auditability.
- Build and maintain MCP (Multi-Cloud Platform) tooling, including authentication, schema design, versioning, retries, and safe execution boundaries.
- Implement observability, tracing, logging, and monitoring for prompts, tool calls, model performance, latency, and cost optimization.
- Create automated evaluation and testing frameworks for AI agents, including golden datasets, regression tests, hallucination detection, and quality gates.
- Design human-in-the-loop approval workflows for sensitive or high-risk operations.
- Manage prompt versioning, model routing, fallback strategies, and token/cost optimization for enterprise AI systems.
- Collaborate with Data, Analytics, Platform Engineering, and business stakeholders to deliver scalable AI solutions aligned with business goals. Required Qualifications
- Advanced / Fluent English (C1 or higher),  mandatory.
- Experience working with international clients and global teams.
- Strong hands-on experience with Automation, Generative AI, LLMs, RAG, and agent-based architectures (E.g.: Claude Code, Codex, Cursor, Windsurf)
- Proficiency in Python and software engineering best practices.
- Experience designing secure, scalable, and production-ready AI systems.
- Solid understanding of AI model evaluation, deployment, observability, and operational reliability.
- Experience with agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration.
- Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies.
- Ability to work autonomously in complex, fast-paced, and ambiguous environments.
- Experience with Docker, Kubernetes, and containerized AI workloads.

## Nice to Have

- Experience with Azure, AWS, or GCP, especially deploying Generative AI solutions in cloud environments.
- Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms.
- Knowledge of MLOps and AI/ML pipeline automation.
- Understanding of AI security, governance, compliance, and data privacy regulations.
- Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering.

## #LI-NG1

Our benefits:

-Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

## About CI&T

## Company Overview
- **One-liner**: CI&T is a global digital services company that helps large enterprises deploy AI to drive measurable business impact through strategy, AI-native execution, and IP-based solutions.
- **Entity Type**: Public (NYSE: CINT)
- **Headquarters**: New York, United States
- **Founded**: 1995
- **Founders**: Not publicly available as individual names

## Core Business
- Primary industry/industries: IT Services and IT Consulting
- Target customers: B2B, primarily large enterprises and fast-growth clients across multiple industries
- Mission or purpose statement: "From AI ambition to measurable business impact." The company helps clients navigate change by pairing business strategy, AI-native execution, and IP-based solutions to turn AI investment into outcomes.

## Products & Services
- **CI&T FLOW**: Proprietary AI system that boosts team productivity and ensures fast, efficient, and scalable results.
- **Lean AI Methodology**: A structured approach for AI deployment that ships as fast as AI learns.
- **AI-Native Execution**: Hands-on development and deployment of AI solutions for enterprise clients.
- **Business Strategy & Consulting**: Identifying the right problems for clients and charting transformation roadmaps.
- **Application Modernization**: Modernizing legacy systems for cloud-native, AI-ready infrastructure.
- **Data & AI Services**: Data engineering, governance, business intelligence, data strategy, and analytics.
- **Martech & Digital Experience**: Commerce services, digital product design, customer experience, and digital experience platforms.
- **Professional Services**: General technology consulting and managed services.

## Market Standing
- **Valuation/Market Cap**: USD 928.4 million (as of October 2024)
- **Key Metric**: Annual Revenue of USD 489.6 million (fiscal year ending Dec 2024)
- **Notable Investors/Partners**: Advent International (led private equity round in 2019); Google Cloud Partner; recognized as a Strong Performer in The Forrester Wave for Modern Application Development Services; recognized in Gartner Magic Quadrant for Custom Software Development Services.
- **Growth Signals**: Headcount grew 15.9% year-over-year to over 8,000 employees across 25+ countries; serves 100+ large enterprises and fast-growth clients; IPO in 2021; recognized as a Glassdoor Best Places to Work.

## Competitive Advantages
- **30-Year Track Record**: Proven history of helping clients navigate technological change since 1995.
- **AI-Native Focus**: Deep specialization in generative AI and AI deployment, not just general IT services.
- **Proprietary IP**: CI&T FLOW and Lean AI methodology create a differentiated, repeatable delivery model.
- **Global Scale with AI Builders**: 8,000+ "AI Builders" across 11 countries, offering both scale and nearshore/offshore cost advantages.
- **Analyst Recognition**: Consistently featured in Gartner Magic Quadrant and Forrester Wave reports.
- **Diverse Client Base**: Serves over 100 enterprise clients across multiple sectors, reducing dependency on any single industry.

## Strategic Focus
- **AI-First Transformation**: The company is fully pivoting to an AI-native model, positioning itself as the partner for enterprises moving from AI ambition to measurable impact.
- **IP Monetization**: Scaling CI&T FLOW as a commercial product/service beyond internal use.
- **Global Expansion**: Growing presence beyond Brazil (its largest talent base) into North America, Europe, and Asia-Pacific.
- **Talent Growth**: Continuing to hire aggressively, especially in AI, data, and engineering roles.

## Why Work Here
- **Culture & Inclusion**: Certified by the Great Place to Work Institute, featured on Glassdoor’s Best Places to Work list. Emphasis on diversity, equity, and inclusion with affinity groups and UN-recognized employment practices for people with disabilities.
- **Remote/Hybrid Policy**: Most roles are remote (home office) within Brazil or other countries of operation. Some positions, especially senior or collaborative roles, are hybrid (e.g., 3x/week in Campinas, Brazil).
- **Career Development**: Structured career process called "Journey" with a platform connecting feedback, results, and opportunities. Continuous support from leaders with personalized development plans.
- **Global Exposure**: Work across 25+ countries and 11 operating nations with a diverse, multicultural team of over 8,000 people.
- **Perks & Benefits**: Tailored benefits for personal and professional wellbeing, though specifics vary by location.
- **Size & Stability**: Publicly traded company with 30 years of history, combining startup-like innovation with corporate stability.
- **Engineering Culture**: Heavy emphasis on technical roles (53% of workforce is technical), with active hiring in AI, data, full-stack, and architecture positions.

## Sources
1. [ciandt.com - About Us](https://ciandt.com/sg/en/about-us)
2. [ciandt.com - Careers](https://ciandt.com/us/en-us/careers)
3. [investors.ciandt.com - IR Overview](https://investors.ciandt.com/)
4. [linkedin.com - CI&T Company Profile](https://www.linkedin.com/company/ciandt)
5. [jobs.lever.co - CI&T Open Positions](https://jobs.lever.co/ciandt)

## Other roles at CI&T

- [[Job -31435] Devop0s Admin, Colombia](https://feeny.ai/job/job-31435-devop0s-admin-colombia-ci-t-colombia-rqp9cyxybz4w) — Colombia
- [[Job-31450] Senior Product Manager, Brazil](https://feeny.ai/job/job-31450-senior-product-manager-brazil-ci-t-brazil-skmq21gv3mhc) — Brazil
- [[Job-31399] Mid -Level QA Automation](https://feeny.ai/job/job-31399-mid-level-qa-automation-ci-t-brazil-msys8f07n1kb) — Brazil
- [[Job-31418] Senior Business Analyst, Colombia](https://feeny.ai/job/job-31418-senior-business-analyst-colombia-ci-t-colombia-kfa5a23eb2tx) — Colombia
- [[Job-31455] AI Engineer & Software Architect, Brasil](https://feeny.ai/job/job-31455-ai-engineer-software-architect-brasil-ci-t-brazil-nycqs8a3ft8p) — Brazil
- [[Job-31453]Senior ML Engineer (B2B Personalization), Brasil](https://feeny.ai/job/job-31453-senior-ml-engineer-b2b-personalization-brasil-ci-t-brazil-6tjyw2bsgt6j) — Brazil
- [[Job 31517] Data Scientist](https://feeny.ai/job/job-31517-data-scientist-ci-t-brazil-8jn71v78z8pp) — Brazil
- [[Job - 31402] Tech Lead (.Net) Senior, Brazil](https://feeny.ai/job/job-31402-tech-lead-net-senior-brazil-ci-t-brazil-db906f1x0cv3) — Brazil
- [[Job - 31408] Senior QA Automation](https://feeny.ai/job/job-31408-senior-qa-automation-ci-t-brazil-tkp0aa9vf565) — Brazil
- [[Job-31452] Software Architect AI SDLC Senior, Brazil](https://feeny.ai/job/job-31452-software-architect-ai-sdlc-senior-brazil-ci-t-brazil-7wwttcyc3786) — Brazil