Senior Ai Engineer

Velozient; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading tech company in Brazil is seeking a remote, full-time Senior AI Engineer to drive product innovation in the utility sector. The ideal candidate will have over 5 years of experience in software and AI/ML engineering with a strong focus on Python and willingness to learn Golang. Responsibilities include architecting AI agents and managing complete AI pipelines. The company offers competitive benefits including paid time off and a collaborative work culture.

Serviços

15 days Paid Time Off (PTO)

Floating day and three sick days

Remote position

Qualificações

• 5+ years of applied ML/AI engineering experience with enterprise systems.
• Expertise with ML/LLM frameworks such as PyTorch and TensorFlow.
• Track record of deploying AI services in production.

Responsabilidades

• Architect, fine-tune, and deploy AI agents for utility use cases.
• Build APIs and microservices linking AI models with enterprise systems.
• Design and manage the complete AI pipeline ensuring reliability.

Conhecimentos

Python

Golang

Node.js

C#

.NET

Java

English communication

Formação académica

University degree or relevant industry experience

Ferramentas

PyTorch

TensorFlow

LangChain

AWS

GCP

Azure

Descrição da oferta de emprego

We are seeking a remote, full-time Senior AI Engineer with 5+ years of software and AI/ML engineering experience. Candidates must have a strong background in Python and either Golang, Node.js, C#, .NET or Java expertise, with a strong desire to adopt Golang as the primary back‑end technology.

In this position you will be at the heart of the client's product innovation, responsible for designing, implementing, and operationalizing AI‑native services that transform the utility sector. You will own the full lifecycle of AI services from data ingestion and model training to real‑time deployment and monitoring while continuously adapting to evolving requirements in a fast‑moving, high‑stakes industry.

Responsibilities

• AI Systems Development: Architect, fine‑tune, and deploy AI agents purpose‑built for utility use cases, including predictive operations, customer engagement, and energy optimization.
• Back‑End Integration: Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid‑level data flows.
• Pipeline Ownership: Design and manage the complete AI pipeline including ingestion, embeddings, retrieval, evaluation, and continuous deployment, ensuring reliability and scalability.
• AI Risk Mitigation: Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, and hallucination control, with sensitivity to regulated environments.
• Cross‑Functional Collaboration: Partner with software engineers, data specialists, and security teams to integrate AI capabilities into the broader client OS, embedding AI by design into every product release.
• Speed of Delivery: Operate with urgency, delivering breakthroughs in code and AI services on cycles measured in weeks, not quarters.

Required Experience

• Excellent English communication skills.
• 5+ years of applied ML/AI engineering experience, ideally with exposure to enterprise/mission‑critical systems.
• Strong proficiency in Python and either Golang, Node.js, C#, .NET or Java (non‑Golang developers will learn and adopt Golang on the job).
• Expertise with ML/LLM frameworks such as PyTorch, TensorFlow, LangChain, or equivalent.
• Experience with vector databases, orchestration frameworks, and modern MLOps practices.
• Track record of deploying AI services in production.
• Strong grounding in cloud‑native architectures (AWS, GCP, Azure).
• Analytical, collaborative, and comfortable with ambiguity.
• Ability to thrive in small, high‑velocity teams, balancing experimentation with production rigor.

Desired Experience

• University degree or relevant industry experience.
• Experience working on ERP systems or within the power utilities industry.

Benefits

• 15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays.
• Remote, full‑time position starting ASAP.
• Opportunity to work in a fast‑growing entrepreneurial company with a highly collaborative learning culture.