Senior Artificial Intelligence Engineer

BIP Brasil

. Develop generative AI applications, assistants, and agents integrated with enterprise systems.

Posted 10/13/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing generative AI applications and integrating them with enterprise systems, utilizing Python, REST APIs, and SQL. Proficient in deploying and monitoring AI solutions on cloud platforms such as Google Cloud or Microsoft Azure, while ensuring data protection and application performance.

Highest-signal resume keywords

Python ProgrammingREST API DevelopmentGenerative AI Application DevelopmentCloud Platform DeploymentData Protection and Access Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonREST APIsSQLRAG SolutionsPrompt EngineeringEmbeddingsVector SearchAutomated TestingCI/CDAI Agent Orchestration

Soft Skills

CollaborationTechnical Documentation

Tools & Technologies

GitDockerGoogle CloudMicrosoft AzureBigQueryVertex AIAzure OpenAIAzure AI Search

Industry Keywords

Generative AIEnterprise SystemsApplication MonitoringData ProtectionAccess Management

Tech Stack

Tools & technologies

AzureBigQueryCloudDockerGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Develop generative AI applications, assistants, and agents integrated with enterprise systems.
Implement RAG solutions connecting language models to documents, knowledge bases, and business data.
Develop APIs and services to integrate AI into business processes.
Deploy and monitor solutions on the cloud platform within your area of expertise.
Evaluate response quality, security, performance, token usage, and costs.
Collaborate with business, data, and technology teams to define solutions and document technical decisions.

Requirements

What you’ll need

Hands-on experience with Python, REST APIs, and SQL.
Knowledge of LLMs, prompt engineering, embeddings, vector search, and RAG.
Experience developing and orchestrating AI agents.
Knowledge of Git, Docker, automated testing, and CI/CD.
Experience with data protection, access management, and application monitoring.
Experience with one of the following stacks: Google Cloud (GCP) or Microsoft Azure.
Knowledge of Gemini, Vertex AI/Gemini Enterprise Agent Platform, BigQuery, and integration with Google Cloud data and application services; or Microsoft Foundry, Azure OpenAI, Azure AI Search, and Azure services for integrating, deploying, and monitoring AI solutions.

Benefits

Comp & perks

All Points (points program for airfare and accommodation)
Health insurance
Dental insurance
Life insurance
Pet insurance
Mobility benefits (including fuel and Uber/99 options)
Flex Reimbursement (glasses, vaccines, education, concerts, and more)
Meal and/or food allowance
Birthday off
Gympass
Financial consulting and facilitated loans
Alelo Club, offering discounts at various stores and pharmacies
180 days of maternity leave
30 days of paternity leave
Childcare assistance during the baby’s first year
Transportation allowance according to project or department needs
Annual bonus program
Commission for referring new clients
Global CAPACITATION and TRAINING Center with up-to-date content and courses
Flex Time — a dedicated time each week for professional development
Mentorship programs with leaders
Semiannual performance reviews
Feedback culture and recurring 1:1 meetings
Personalized development plan
Darwin — global development program for young talent
Grounding — global development program for newly hired professionals
Induction — international onboarding
Spinnaker — training to enhance the strategic skills of Managers and Senior Managers