[Job-31014] Senior Software Developer

CI&T; Brasil; Presencial; BRL 220 000 - 360 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Wellhub gym partnerships

Profit Sharing

Life insurance

CI&T University learning platform

Discount club

Well-being platform

Pregnancy and parenting course

Online learning partnerships

Language learning platform

Resumo da oferta

CI&T seeks a Senior Software Developer to design, build, and scale GenAI and Agentic AI solutions for enterprise clients. You will contribute to secure, observable, and production-ready AI applications that support complex business workflows in large environments.

The role emphasizes deep hands-on work with Generative AI, LLMs, RAG, and agent-based architectures, paired with strong software development and cloud expertise.

Qualificações

• Advanced / Fluent English (C1 or higher), mandatory.
• Experience with international clients and global teams.
• Hands-on experience with Generative AI, LLMs, RAG, and agent-based architectures.
• Proficiency in Python and software engineering best practices.
• Experience designing secure, scalable, production-ready AI systems.
• Knowledge of AI model evaluation, deployment, observability, and reliability.
• Experience with agent execution pipelines, CI/CD, backend AI workflows, and automated orchestration.
• Strong prompt engineering, context management, and hallucination mitigation.
• Ability to work autonomously in fast-paced, ambiguous environments.

Responsabilidades

• Design, develop, and maintain GenAI and Agentic AI apps for production.
• Build customizable agent solutions with LangChain, DeepAgents, Strands AI, or SDKs.
• Develop production-grade Python tooling and reusable AI components.
• Implement RAG pipelines, external knowledge integrations, memory, and context orchestration.
• Design secure sandboxed environments for agent tooling (permissions, secrets, auditability).
• Build MCP tooling: authentication, schema design, versioning, retries, safe execution.
• Add observability: tracing, logging, monitoring for prompts and model performance.
• Create automated evaluation, testing frameworks for AI agents (golden data, tests).
• Design human-in-the-loop approval workflows for sensitive ops.
• Manage prompt versioning, model routing, and cost optimization.
• Collaborate with Data, Analytics, Platform Eng, and stakeholders to scale AI solutions.

Conhecimentos

Generative AI

LLMs

RAG

Agent-based architectures

Python

CI/CD

Backend AI workflows

Observability

Model evaluation

Automation

Prompt engineering

Context management

Hallucination mitigation

Ferramentas

Azure

AWS

GCP

Docker

Kubernetes

LangChain

Databricks

Vertex AI

Azure OpenAI

Bedrock

Descrição da oferta de emprego

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 Senior 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, 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.

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.
• - Experience with Docker, Kubernetes, and containerized AI workloads.
• 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.

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.