What are the responsibilities and job description for the Developer Onsite position at Randstad Digital Americas?
Job Summary
Seeking an entrepreneurial AI Engineer to join a high-performing team dedicated to solving commercially impactful problems through technical excellence. In this role, you won't just build models; you will own the entire lifecycle of AI products-from framing business challenges to optimizing low-level inference stacks.
location: Champaign, Illinois
job type: Permanent
salary: $145,000 - 175,000 per year
work hours: 9am to 6pm
education: Bachelors
Responsibilities
End-to-End Ownership: Take full accountability for technical products, from initial business problem framing to final production deployment.
ML Systems Design: Design and deliver industry-leading ML models and systems that meet rigorous operational standards and challenging SLAs.
Strategic Innovation: Actively challenge current processes and stay at the forefront of AI trends to ensure our technology remains market-leading.
Business Integration: Engage directly with business functions to translate complex commercial needs into elegant AI solutions.
Hybrid Impact: Balance deep technical development (80%) with direct user support and feedback loops (20%) to ensure products meet real-world needs.
Qualifications
LLM Specialization: Direct experience deploying LLMs in production. You should be an expert in prompt design, agentic workflows, evaluation harnesses, and RAG/retrieval pipelines.
Inference Optimization: Deep understanding of the LLM stack, including KV Caching, Speculative Decoding, Parallel Decoding, and emerging test-time compute strategies.
Software Engineering: Expert-level Python skills are required. Proficiency in at least one lower-level or enterprise language (C , Java, or .NET) is highly preferred.
Infrastructure & Data: Proven experience with SQL databases and cloud architecture (Azure or AWS).
Theoretical Foundation: A "first-principles" understanding of machine learning fundamentals paired with the practical "scars" of building real-world systems.
Skills
Java (Programming Language),.NET Framework,C Sharp (Programming Language),Knowledge of Finance,Knowledge of Mathematics,Information Technology
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Seeking an entrepreneurial AI Engineer to join a high-performing team dedicated to solving commercially impactful problems through technical excellence. In this role, you won't just build models; you will own the entire lifecycle of AI products-from framing business challenges to optimizing low-level inference stacks.
location: Champaign, Illinois
job type: Permanent
salary: $145,000 - 175,000 per year
work hours: 9am to 6pm
education: Bachelors
Responsibilities
End-to-End Ownership: Take full accountability for technical products, from initial business problem framing to final production deployment.
ML Systems Design: Design and deliver industry-leading ML models and systems that meet rigorous operational standards and challenging SLAs.
Strategic Innovation: Actively challenge current processes and stay at the forefront of AI trends to ensure our technology remains market-leading.
Business Integration: Engage directly with business functions to translate complex commercial needs into elegant AI solutions.
Hybrid Impact: Balance deep technical development (80%) with direct user support and feedback loops (20%) to ensure products meet real-world needs.
Qualifications
LLM Specialization: Direct experience deploying LLMs in production. You should be an expert in prompt design, agentic workflows, evaluation harnesses, and RAG/retrieval pipelines.
Inference Optimization: Deep understanding of the LLM stack, including KV Caching, Speculative Decoding, Parallel Decoding, and emerging test-time compute strategies.
Software Engineering: Expert-level Python skills are required. Proficiency in at least one lower-level or enterprise language (C , Java, or .NET) is highly preferred.
Infrastructure & Data: Proven experience with SQL databases and cloud architecture (Azure or AWS).
Theoretical Foundation: A "first-principles" understanding of machine learning fundamentals paired with the practical "scars" of building real-world systems.
Skills
Java (Programming Language),.NET Framework,C Sharp (Programming Language),Knowledge of Finance,Knowledge of Mathematics,Information Technology
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
Salary : $145,000 - $175,000