Artificial Intelligence Engineer

ALL KNOWN SERVICES; Chicago (IL); On-site; USD 150,000 - 230,000; Full time

Job summary

ALL KNOWN SERVICES seeks a Senior AI/ML Engineer in Chicago to tackle production-grade AI systems. You’ll build scalable solutions around foundation models, implement RAG and prompt engineering, and drive model deployment.

Remote-ready collaboration will be balanced with on-site work in a fast-paced environment. You will translate business needs into robust architectural designs, document technical approaches, and deliver milestones independently while engaging with stakeholders across teams.

Qualifications

• 9+ years of experience in Software Engineering with a focus on AI/Machine Learning
• Bachelor’s degree in computer science or equivalent practical experience
• Strong software engineering foundations, including experience building scalable systems and writing clean, maintainable code
• Experience building production applications that leverage foundation models for language and vision tasks, including RAG, prompt engineering, agentic workflows, and evaluation
• Experience fine-tuning or training ML models a plus
• Extensive experience programming in Python, leveraging frameworks such as PyTorch and HuggingFace, and deploying models using cloud platforms such as AWS, Azure, or GCP
• Hands‑on experience standing up AI/ML systems from scratch — e.g., search and retrieval pipelines, model deployment, and evaluation tooling
• Ability to translate business requirements into technical designs and to clearly explain technical concepts to non-technical stakeholders
• Strong problem-solving skills and the ability to work independently and deliver against defined milestones with limited day-to-day oversight
• Experience documenting technical designs and gathering user feedback to iterate on delivered products
• Portfolio, code samples, or references from prior engagements are welcome

Skills

AI/ML experience

Python

PyTorch

HuggingFace

Foundation models

RAG

Prompt engineering

Agentic workflows

Model deployment

Education

Bachelor's degree in computer science

Tools

PyTorch

HuggingFace

AWS

Azure

GCP

Job description

• 9+ years of experience in Software Engineering with a focus on AI/Machine Learning; prior contract or consulting engagements a plus.
• Bachelor’s degree in computer science or equivalent practical experience.
• Strong software engineering foundations, including experience building scalable systems and writing clean, maintainable code.
• Experience building production applications that leverage foundation models (e.g., OpenAI, Anthropic, AWS Bedrock) for language and vision tasks, including RAG, prompt engineering, agentic workflows, and evaluation.
• Experience fine-tuning or training ML models a plus.
• Extensive experience programming in Python, leveraging frameworks such as PyTorch and HuggingFace, and deploying models using cloud platforms such as AWS, Azure, or GCP.
• Hands‑on experience standing up AI/ML systems from scratch — e.g., search and retrieval pipelines, model deployment, and evaluation tooling — including setting up tooling and infrastructure in a greenfield environment.
• Ability to translate business requirements into technical designs and to clearly explain technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to work independently and deliver against defined milestones with limited day-to-day oversight.
• Experience documenting technical designs and gathering user feedback to iterate on delivered products.
• Portfolio, code samples, or references from prior engagements are welcome.