Home
Jobs
Saved
Resumes
Senior Data/AI Engineer at Upstart 13 | JobVerse
JobVerse
Home
Jobs
Recruiters
Companies
Pricing
Blog
Jobs
/
Senior Data/AI Engineer
Upstart 13
Remote
Website
LinkedIn
Senior Data/AI Engineer
Latin America
Full Time
1 hour ago
No H1B
Apply Now
Key skills
Cloud
ETL
Java
NoSQL
Python
SQL
Go
C#
C
R
AI
Large Language Models
OpenAI
RAG
LangChain
Agentic
Jupyter
ELT
Data Engineering
Analytics
Caching
CI/CD
About this role
Role Overview
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.
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).
Tech Stack
Cloud
ETL
Java
NoSQL
Python
SQL
Go
Benefits
20+ Paid time off days
Apply Now
Home
Jobs
Saved
Resumes