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Bringing down borders in technology.
Senior Data/AI Engineer
Location
Latin America
Posted
82 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data/AI Engineer
Upstart 13
• Design and implement AI‑powered workflows such as agents, assistants, and tool‑enabled services. • Build and maintain backend services using modern web frameworks and server‑side languages. • Implement RAG‑style retrieval systems and contribute to prompt engineering and model interaction patterns. • Integrate LLMs into production environments and develop scalable service layers around model inference and orchestration. • Work with vector search technologies and embedding pipelines where needed. • Design and operate ETL/ELT pipelines for batch, streaming, or hybrid workloads. • Model data for analytics and application needs using best practices in schema design and storage optimization. • Implement data quality, validation, auditing, and observability mechanisms. • Ensure secure, reliable connectivity across cloud, on‑premise, and hybrid environments. • Collaborate to define semantic business logic, reusable metrics, and shared data assets. • Design and implement scalable APIs (REST, Queues, Events). • Build integrations that connect AI systems to external applications, services, or platforms. • Implement secure patterns for authentication, authorization, and secrets management. • Ensure the overall backend architecture remains modular, maintainable, and extensible. • Write and optimize complex queries across relational and NoSQL databases. • Design efficient schemas, indexing strategies, and caching solutions to support high‑performance AI/data workloads. • Conduct load/performance testing and implement safeguards to meet system reliability targets. • Conduct and lead data Governance and data security best practices. • Architect and implement systems for scalability, reliability, and security across backend and data layers. • Add and maintain observability (logs, metrics, traces), alerting, and runbooks. • Contribute to CI/CD, automation, and environment‑based deployments. • Comply with privacy and security norms and rules such as PII, HIPAA, SOC 2 Type 2, or similar. • Work with AI researchers to produce models and evaluate performance. • Collaborate with the Solution Architect to align designs with long‑term architecture. • Partner with Product to translate AI and data capabilities into meaningful user features. • Stay informed on emerging AI, backend, and data engineering technologies and share knowledge with the team.
Job Requirements
- 7+ years of experience in data engineering with exposure to back-end engineering and AI‑powered systems.
- Proven experience delivering production‑grade services , APIs, and data pipelines end‑to‑end.
- Strong knowledge in one programming language for implementing data pipelines (Python, R, Java, Go, C#).
- Hands‑on experience integrating or building systems powered by large language models (LLMs) or similar AI technologies.
- Experience implementing RAG pipelines , vector search, or agentic automation frameworks (any stack).
- Knowledge on any AI Agent Framework (CrewAI, OpenAI, Langchain).
- Strong knowledge on Jupyter Notebook.
- Strong understanding of API design, service architecture, and secure integration patterns.
- Solid SQL skills and strong grounding in data modeling, schema optimization, and performance tuning.
- Familiarity with CI/CD pipelines, infrastructure automation, and cloud environments (any provider).
Benefits
- 20+ Paid time off days
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