Senior AI Engineer - AI/ML Integration & Backend Development

Job Title: Artificial Engineer (10 positions)

Location: Brazil, Mexico (Remote)

Employment Type: Full-time

Annual Salary: $35,000 - $40,000 USD

Job Description:

We are seeking an Artificial Engineer to design, build, and deploy AI-driven applications and services. This role combines backend engineering, AI/ML integration, DevOps, and system scalability to deliver production-grade AI solutions.

Key Responsibilities:

Backend Development:

• Architect and implement robust backend services and microservices for AI workflows.
• Design APIs with scalability, reliability, and security in mind.
• Optimize system performance for high throughput and low latency.

AI Engineering:

• Integrate AI/ML models and LLM-based applications into production systems.
• Build end-to-end Gen AI-based applications and solutions.
• Collaborate with data scientists to operationalize AI pipelines.
• Implement features for model evaluation, monitoring, and feedback loops.

DevOps & CI/CD:

• Maintain automated pipelines for build, test, and deployment.
• Ensure compliance with code quality and security standards.
• Drive end-to-end design, building, and deployment of enhancements using Python, APIs, and Microservices.

Scalability & Performance:

• Design systems for horizontal scaling and fault tolerance.
• Conduct performance tuning and load testing to ensure optimal resource utilization.

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Foundational Services:

• Build reusable frameworks and services that support multiple AI platform components.
• Implement secure handling of sensitive data (PHI/PII redaction).

Database & Data Management:

• Work extensively with NoSQL databases (MongoDB, Cosmos DB).
• Ensure efficient data ingestion and retrieval for AI-driven applications.

Professional Qualifications:

• Must have good communication and interpersonal skills.
• Ability to guide the team and deliver as an Individual Contributor without much supervision.

Required Skills:

Programming:

• Python (strong proficiency).
• JavaScript (React/Angular) with experience building basic UI using React or similar frameworks.
• Java or Go for backend.

Backend Expertise:

• Microservices architecture.
• RESTful APIs.
• Distributed systems.
• Experience building data pipelines, APIs, and microservices.

AI/ML Tools:

• TensorFlow, PyTorch, LangChain, Vertex AI, LLMs, and general Gen AI/Agentic AI experience.

Agentic AI & Google ADK:

• Experience designing and implementing production-grade Agentic AI systems using Google ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server services (for exposing internal tools/APIs).
• Google ADK experience is highly preferred.

Cloud & Containerization:

• GCP (highly preferred).
• Kubernetes.
• Docker.

Databases:

• NoSQL databases (MongoDB, Cosmos DB).
• SQL.
• Big Query (highly preferred).

Performance Optimization:

• Profiling, caching strategies, query optimization, and the ability to identify performance bottlenecks and optimize performance using Gen AI.
• Observability experience.

Other:

• Experience with design and support for multiple applications.

Work Environment:

• Fully remote position based in Brazil or Mexico.
• Full-time engagement.
• Opportunity to work on cutting-edge AI and Gen AI applications.