Senior Artificial Intelligence/Machine Learning Engineer

Description Ciklum

Brasil

Presencial

BRL 180 000 - 320 000

Tempo integral

Há 9 dias

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Vantagens oferecidas por esta oferta de emprego

Medical insurance

Udemy license

Language courses

Certifications

Internal Mobility program

Resumo da oferta

Ciklum in Brazil seeks a Senior Artificial Intelligence/Machine Learning Engineer to join as a hands-on individual contributor. You will develop enterprise GenAI capabilities, reusable services, and AI platform components across the lifecycle, partnering with engineers, data scientists, and product owners to deliver scalable, secure solutions.

The role focuses on building GenAI, Data Science, and AI lifecycle capabilities within enterprise ecosystems, leveraging cloud-native technologies and

Qualificações

Bachelor’s or master’s degree in computer science, engineering, data science, or related technical discipline.
6+ years of software engineering experience with Python
Experience developing AI/ML, Data Science, Data Engineering, or analytics applications in enterprise environments.

Responsabilidades

Develop and enhance enterprise Generative AI platform capabilities and reusable services.
Design AI-powered applications, agentic workflows, and RAG solutions.
Build scalable APIs, microservices, and platform components for AI/ML lifecycle management.
Develop frameworks for model development, deployment, and observability.
Contribute to CI/CD pipelines, automation, testing strategies, and DevOps practices.
Collaborate with data scientists, engineers, and stakeholders to deliver capabilities.
Participate in design discussions, code reviews, and estimation activities.

Conhecimentos

Python

Generative AI / LLMs

RAG & Agentic AI

Kubernetes & Containers

Cloud Engineering

CI/CD & DevSecOps

Kafka/Event Streaming

APIs & Microservices

AI Platform Engineering

Data Engineering

Git-based development

Formação académica

Bachelor’s or Master’s degree in Computer Science/Engineering/Data Science

Ferramentas

MLFlow

Kubeflow

Descrição da oferta de emprego

Senior Artificial Intelligence/Machine Learning Engineer

Job Description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Brazil.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

This role is responsible for developing and enhancing enterprise Generative AI capabilities within the MALTS platform, accelerating AI adoption through reusable frameworks, agentic services, and self-service platform components. The engineer will contribute to the development of scalable GenAI, Data Science, and AI/ML lifecycle capabilities that enable faster delivery of business solutions across Consumer, Banking, and Wealth organizations.

This is a hands-on software engineering role focused on building enterprise-grade Generative AI, Data Science, and AI Platform capabilities within client's strategic AI ecosystem. The engineer will work as an individual contributor responsible for designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and application components that support AI model development, deployment, inferencing, automation, and governance.

The successful candidate will partner with senior engineers, architects, product owners, and data scientists to develop scalable, secure, and resilient solutions leveraging modern AI frameworks, cloud-native technologies, distributed computing platforms, and enterprise engineering practices.

This role is ideal for an engineer passionate about Generative AI, application development, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption.

Responsibilities:

Develop and enhance enterprise Generative AI platform capabilities, reusable services, and self-service tools
Design and build AI-powered applications, agentic workflows, RAG solutions, and MCP-enabled services
Develop scalable APIs, microservices, and platform components supporting AI/ML lifecycle management
Build and maintain frameworks supporting model development, fine-tuning, deployment, inferencing, monitoring, and observability
Implement event-driven and streaming solutions leveraging technologies such as Kafka and distributed processing platforms
Contribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices
Collaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities
Participate in design discussions, code reviews, sprint planning, story refinement, and estimation activities
Ensure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence
Support platform observability, monitoring, and performance optimization initiatives
Continuously evaluate emerging AI technologies and contribute innovative solutions to enhance platform capabilities
Core Engineering Responsibilities:
- Develop code and automated tests to deliver stories and requirements meeting quality and compliance standards
- Participate in application design leveraging data, application, integration, and platform architecture patterns
- Collaborate in requirement analysis, story refinement, and solution design activities
- Estimate and deliver assigned work within Agile development cycles
- Build agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures
- Deliver secure, scalable, observable, and resilient software solutions aligned with enterprise standards
- Troubleshoot, optimize, and maintain platform services to ensure operational excellence

Requirements:

Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related technical discipline
6+ years of software engineering experience with strong expertise in Python-based application development
Experience developing AI/ML, Data Science, Data Engineering, or analytics applications in enterprise environments
Strong understanding of modern Generative AI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based development
Hands-on experience developing AI/ML and GenAI solutions using modern frameworks and tools
Experience building scalable REST APIs and microservices using FastAPI or similar frameworks
Experience developing applications leveraging vector stores, inference services, model-serving technologies, and AI orchestration frameworks
Strong Python programming skills with experience building production-grade applications and reusable libraries
Experience with AI/ML lifecycle management frameworks such as MLFlow, Kubeflow, model deployment, fine-tuning, and inference frameworks
Experience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls
Understanding of metadata management, data lineage, governance principles, and semantic layer concepts
Experience working within large-scale engineering organizations utilizing Git-based development, CI/CD pipelines, automated testing, and collaborative development practices
Familiarity with cloud-native development, containers, Kubernetes, and distributed computing environments
Core Skills:
- Python
- Generative AI / LLMs
- RAG & Agentic AI
- MCP
- Data Engineering
- Kubernetes & Containers
- Cloud Engineering
- CI/CD & DevSecOps
- Kafka/Event Streaming
- APIs & Microservices
- AI Platform Engineering
Experience building MCP servers, AI agents, and multi-agent orchestration frameworks
Knowledge of LLM integration, prompt engineering, model evaluation, and AI observability
Familiarity with enterprise AI governance, responsible AI, metadata, and data quality concepts
Exposure to enterprise-scale Generative AI platforms and self-service developer ecosystems

What`s in it for you?

Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and mental health programs, 5 undocumented sick-leave days per year
Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
Long-term employment with 20 working-days paid vacation and local bank holidays
Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility
Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

As we expand into Latin America, every Ciklumer is helping to shape our story. Collaborate with seasoned experts and make a global impact backed by two decades of industry leadership.

Explore, empower, engineer with Ciklum!

#LI-VH1

Required Skills