Senior System Software Engineer, Agentic Retrieval

engineeringjobs.net, Inc.; Redmond (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

engineeringjobs.net, Inc. seeks a senior systems engineer to develop and optimize Rust-based, GPU-accelerated data processing frameworks and multimodal Agentic Retrieval pipelines for training data workflows.

You will benchmark performance, collaborate with research and product teams on production tools, and contribute to continuous delivery, code reviews, and AI-powered experiences.

Qualifications

• Requires a bachelor's or master's degree in computer science, computer engineering, or a related field (or equivalent experience).
• Plus at least six years in a related role with cloud software experience.
• Familiarity with MLOps technologies such as containers and Kubernetes, hands-on NLP/LLMs/VLMs, generative AI, and Agentic Retrieval.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Develop and optimize Rust-based, GPU-accelerated data processing frameworks and multimodal Agentic Retrieval pipelines for training data workflows.
• Benchmark and improve system performance; collaborate with research and product teams on production tools.
• Contribute to continuous delivery, code reviews, and integrated AI-powered experiences.

Skills

Rust

Python

GPU Acceleration

Data Processing

Agentic Retrieval

Large Language Models

Natural Language Processing

Vision-Language Models

Generative AI

Multimodal Data Pipelines

MLOps

Docker

Kubernetes

Benchmarking

Profiling

Cloud Infrastructure

Education

Bachelor's or Master's in Computer Science/Computer Engineering or related field

6+ years of related experience

Tools

Docker

Kubernetes

Job description

Develop and optimize Rust-based, GPU-accelerated data processing frameworks and multimodal Agentic Retrieval pipelines, including systems for preparing, deduplicating, filtering, and classifying training data. Benchmark and improve system performance, collaborate with research and product teams on production tools, and contribute to continuous delivery, code reviews, and integrated AI-powered experiences.

Requirements:

Requires a bachelor's or master's degree in computer science, computer engineering, or a related field (or equivalent experience), plus at least six years in a related role. Candidates should have cloud software experience, familiarity with MLOps technologies such as containers and Kubernetes, hands-on expertise in NLP, LLMs, VLMs, generative AI, and Agentic Retrieval, and strong communication and cross-functional collaboration skills.

Key Skills:

• Rust
• Python
• GPU Acceleration
• Data Processing
• Agentic Retrieval
• Large Language Models
• Natural Language Processing
• Vision-Language Models
• Generative AI
• Multimodal Data Pipelines
• MLOps
• Docker
• Kubernetes
• Benchmarking
• Profiling
• Cloud Infrastructure

Benefits:

• Equity
• Benefits