AI Engineer

Sora Union Group; Brasil; Remote; BRL 180,000 - 270,000; Full time

Job summary

Sora Union seeks an experienced AI Engineer to drive AI initiatives from ideation to production across client projects and internal initiatives. You will partner with Engineering, Product, and Design teams to implement robust AI solutions.

The role emphasizes end-to-end ownership, model optimization, and advanced prompt engineering to deliver scalable, production-grade AI experiences for diverse industries.

Qualifications

• 4+ years building and deploying production-level AI/ML models.
• Experience with MLOps platforms and experiment tracking.
• Strong Python and DL framework experience (TensorFlow, PyTorch).
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex).
• Experience building high-performance RESTful APIs for serving models.

Responsibilities

• Translate customer needs into production-grade AI experiences.
• Own projects end-to-end from data preparation to deployment, monitoring, and debugging.
• Implement model optimization techniques to meet latency/throughput requirements.
• Develop prompt chaining and context management strategies for LLMS.

Skills

AI development

Python

Deep learning

LLM orchestration

RESTful APIs

Data engineering

Cloud platforms

CI/CD

.customer-facing experience

Tools

MLflow

Kubeflow

Weights & Biases

FastAPI/Flask

LangChain

LlamaIndex

Job description

Talent is everywhere, opportunity is not. Sora Union changes that.

Sora Union is a globally distributed professional services company that specializes in Design, Software Engineering. Our experienced talent comes from communities where there is displacement or risk of displacement due to conflict or climate change. We provide services to global companies and start-ups across various industries, including healthcare, financial services, technology, and education.

We are seeking an AI Engineer to join our growing team, where you will act as an internal entrepreneur, driving AI initiatives from ideation to production both internally and for our customers.

As an AI Engineer, you will work closely with the Engineering , Product/Brand Design teams.

You’ll be responsible for:

• Customer-Facing AI Solutions: Act as the primary technical partner for customers, translating operational needs into production-grade AI experiences.
• End-to-End Implementation: Own projects entirely, from data cleaning and prototyping to full deployment, monitoring, and debugging in customer environments.
• Performance Optimization: Implement model compression, quantization, and efficient serving techniques to meet strict latency and throughput requirements for customer-facing applications.
• Advanced Prompt Engineering & LLM Customization: Develop sophisticated prompt chaining, self-correction mechanisms, and context management strategies (e.g., using RAG architectures) to enhance LLM application performance and accuracy.

Ideally, you’ll have:

• AI Development/ FDE Experience: 4+ years of experience building and deploying production-level AI/ML models.
• MLOps Tooling: Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, or Weights & Biases for experiment tracking and model registry.
• Technical Proficiency: Strong expertise in Python and deep learning frameworks (TensorFlow, PyTorch), along with experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
• Data Engineering/API Skills: Proven ability to build and maintain high-performance, low-latency RESTful APIs (e.g., using FastAPI or Flask) for serving models, and strong proficiency in SQL/NoSQL databases for data integration.
• Proficiency in native agentic coding, demonstrated through the daily use of tools like Cursor, Claude Code, and other agentic coding platforms.
• Demonstrated experience building distributed systems, microservices, or complex backend APIs that support AI/agent workflows.
• Solid expertise with systems that integrate AI models, agent frameworks (e.g., Langraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services.
• Understanding of agent orchestration patterns, state management, and asynchronous workflows.
• Experience with cloud platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and operational engineering best practices.
• Good grasp of performance optimization, testing frameworks, and CI/CD pipelines.
• Customer-Facing Experience: Proven ability to work directly with stakeholders to define requirements and deliver value, ideally in a consulting or specialized engineering role.
• Deployment Expertise: Experience containerizing models (Docker) and deploying to cloud environments (AWS, GCP, or Azure).
• Entrepreneurial Mindset: Ability to thrive in a fast-paced environment, taking initiative to solve ambiguous problems

Sora Union is committed to creating and fostering a diverse team. We encourage people from underrepresented backgrounds and all walks of life to apply. We are committed to providing reasonable accommodations to all applicants throughout the application process.