Jobs in Goiania, Brazil

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. This role combines applied AI / ML expertise with strong back-end engineering skills, ensuring the client's agentic systems are not only functional but scalable, secure, and production-ready.

As a key member of our engineering team, you will report directly to the CTO and operate within small, agile teams alongside software engineers, security experts, and product managers. 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.

Our client is building an AI-centric operating system for utilities. It harnesses AI at the enterprise level to better orchestrate customer delight, facilitate power optimization, improve the health of the grid, and unlock flexibility at scale. Funded by a strategic industry partner and one of the founders at Groupon, the client is poised to transform how utilities run and how customers experience energy.

• 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 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.

• 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

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

• Enjoy a fun, fast-growing entrepreneurial company
• Be part of a highly collaborative learning culture, share knowledge, be inclusive, learn, and grow together. Embrace teamwork!
• Knowing your ideas are heard and matter, think big!
• You get to own your job and be recognized for your contributions
• Work with innovative and creative people
• Making mistakes is human. Let's learn from them. Be transparent!
• We recognize you as an individual, with no presumptions or judgment. Be the extraordinary you!
• 15 days Paid Time Off (PTO), one floating day, three sick days, and designated national holidays

Start : ASAP