Senior AI Engineer

Brazil

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Software Development, Data Science, Design, AIIndustries

Requirements

Candidates must have 7+ years of professional software engineering experience, with proven experience building and shipping AI-powered applications. A deep understanding of LLM architectures, embeddings, vector databases, and orchestration frameworks is required, along with a solid grasp of software architecture, scalability, and performance optimization. Proficiency in languages like Python and TypeScript is essential, as is the ability to self-manage and thrive in a remote environment. Experience fine-tuning models, contributions to open-source AI tools, strong prompt engineering skills, and a background in data engineering or MLOps are considered advantageous.

Responsibilities

The Senior AI Engineer will design and build AI-powered applications from prototype to production, creating scalable and maintainable AI pipelines for data ingestion, preprocessing, embeddings, and orchestration. Responsibilities include engineering effective prompting strategies, integrating AI models into full-stack applications with robust APIs and frontend components, and managing CI/CD pipelines. The role involves collaborating with cross-functional teams, continuously evaluating new AI tools and models, and writing production-grade, testable, and maintainable code.

Skills

AI Engineering

LLM APIs

Embeddings

Scalable Pipelines

Testing

Monitoring

Prompt Engineering

Full-stack Development

API Integration

CI/CD

Python

TypeScript

LLM Architecture

Data Ingestion

Data Preprocessing

Retrieval

Orchestration

AE Studio

Develops software for Brain-Computer Interfaces

About AE Studio

AE Studio develops software aimed at enhancing neurotechnology, specifically focusing on Brain-Computer Interface (BCI) systems. These systems utilize machine learning algorithms to analyze brain activity in real-time, allowing for direct communication between the brain and external devices. The company collaborates with clinical researchers and hardware manufacturers worldwide to create tailored software solutions that meet specific needs, helping clients accelerate their research and development in the neurotechnology field. AE Studio distinguishes itself from competitors through its commitment to enhancing human agency, ensuring that technology empowers users rather than manipulates them. The company's goal is to support public good projects and provide educational resources while fostering long-term collaborations with clients in the healthcare and AI sectors.

Los Angeles, CaliforniaHeadquarters

2016Year Founded

VENTURE_UNKNOWNCompany Stage

Social Impact, AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Company Equity

Risks

Increased competition in neurotechnology may reduce AE Studio's market share.

Rapid AI advancements require continuous R&D investment to maintain competitiveness.

Ethical concerns and regulatory scrutiny could delay BCI product releases.

Differentiation

AE Studio specializes in neurotechnology, focusing on Brain-Computer Interface systems.

The company integrates machine learning to interpret brain activity in real-time.

AE Studio offers bespoke software solutions tailored to client-specific needs.

Upsides

Growing interest in BCI technology boosts investment and research opportunities for AE Studio.

Partnerships with companies like Nylas accelerate software development using large language models.

Recognition as a top AI company enhances AE Studio's reputation and client attraction.

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