Senior AI Systems Engineer - Remote/Hybrid, LLM‑Driven

AgileGrid Solutions; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare coverage

Flexible hybrid or remote working

Job summary

GrabJobs is seeking an experienced AI Systems Engineer to design, develop, and maintain complex AI systems driving our platform’s core features. You will own technical design, work across data engineers, software developers, and product managers, and lead efforts to build scalable AI-driven solutions that enhance user experience and efficiency.

The role requires 5+ years in software engineering with LLM-backed features, strong Python/TypeScript skills, and expertise in data pipelines.

Qualifications

• Bachelor’s degree in CS, Engineering or related STEM field.
• 5+ years in software engineering focusing on services, pipelines, or SDK development.
• 2+ years deploying LLM-backed features in production with on-call duties.
• Proficiency in Python and/or TypeScript; able to read/write multiple languages.
• Strong data engineering knowledge including SQL and distributed processing.

Responsibilities

• Define and implement the operational design of AI products, establishing measurement and evaluation frameworks to monitor non-deterministic behaviors.
• Formulate hypotheses, validate signals, and determine correct outputs using real usage data or handcrafted cases.
• Continuously evaluate APIs, SDKs, data representations, and reference apps from an end-user perspective, identifying gaps.
• Own the MVP for projects, balancing technical excellence with timely delivery of useful features.
• Develop and maintain data pipelines including ingestion, conflation, entity resolution, and QA processes.
• Track external datasets and benchmarks, assessing applicability and integration.
• Design feedback loops to generate data for improving product quality and failure analysis.
• Define the boundary between models and tools, build model harnesses, manage latency and cost targets.
• Create internal tools and harnesses to enable rapid iteration and share components across teams.

Skills

Python

TypeScript

LLM deployment

Data engineering

Distributed systems

On-call / incident response

Mentoring

Education

Bachelor’s degree in Computer Science, Engineering, or related STEM field

Tools

SQL

Airflow

Docker

Job description

GrabJobs is seeking an experienced AI Systems Engineer to design, develop, and maintain complex AI systems driving our platform’s core features. You will own technical design, work across data engineers, software developers, and product managers, and lead efforts to build scalable AI-driven solutions that enhance user experience and efficiency.

The role requires 5+ years in software engineering with LLM-backed features, strong Python/TypeScript skills, and expertise in data pipelines.