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Forward Deployed Software Engineer – Advanced

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
  • Work on-site or closely with customer teams to remove technical blockers and guide adoption
  • Translate field challenges back to core product and research teams to improve foundational models
  • Design and test AI-driven software assignments in customer environments
  • Establish requirements for complex software design projects and define project scope and objectives
  • Architect and design highly complex AI-driven systems aligned with organizational goals and technical standards
  • Lead and participate in all phases of software development projects, including in-process and final inspections
  • Develop innovative programs, technologies, and solutions and document methodologies for broader team use
  • Provide technical leadership across multiple engineering disciplines and influence program direction and outcomes
  • Maintain and deploy AI-powered applications on Edge Devices and Android platforms
  • Create data pipelines to on-premises servers for AI processing
  • Exercise judgment within broadly defined policies and practices to deliver effective solutions
  • Network with internal and external stakeholders, including senior management and customers, to coordinate efforts and achieve project goals
  • Represent the organization as a technical expert and principal customer contact on critical projects
Requirements
  • Bachelors Degree or Advanced Degree in Computer Science, Software Engineering, or a related engineering discipline
  • 8+ years of relevant work experience with a Bachelors Degree
  • 5+ years of relevant experience with an Advanced Degree
  • Knowledge or previous projects in training and fine tuning AI models is highly desired
  • Exposure to Nvidia CUDA toolkit
  • Experience with MLOps and deploying AI/ML models on-prem and in cloud environment (e.g., AWS, GCP, Azure)
  • Experience integrating AI solutions with enterprise tools and APIs
  • Advanced proficiency in multiple programming languages and software architecture
  • Deep understanding of software design patterns, system level programming, performance optimization techniques, and adopting GenAI in the Software Development Lifecycle
  • Strong analytical and problem solving skills with experience tackling highly complex technical challenges
  • Familiarity with competitor products and industry trends
  • Exceptional communication skills with the ability to influence stakeholders and collaborate across organizational boundaries
  • Experience developing innovative solutions and technologies to meet evolving business and customer needs
  • Travel is required
Core Competencies

Demonstrates expertise in architecting and designing AI-driven systems, with a strong focus on software development lifecycle, MLOps, and integrating AI solutions. Proven ability to lead technical projects, influence stakeholders, and develop innovative solutions that align with organizational goals.

Highest-signal resume keywords
  • AI Model Training And Fine Tuning
  • MLOps Deployment
  • Nvidia CUDA Toolkit
  • Software Architecture
  • Advanced Programming Languages
Hard Skills
  • AI-Driven Software Design
  • Data Pipeline Creation
  • Performance Optimization Techniques
  • Software Design Patterns
  • System Level Programming
Soft Skills
  • Exceptional Communication Skills
  • Analytical And Problem Solving Skills
  • Stakeholder Influence
  • Collaboration Across Organizational Boundaries
Industry Keywords
  • Software Development Lifecycle
  • Technical Leadership
  • Innovative Solutions
  • Enterprise Tools Integration
  • Competitor Products Familiarity
Tools & Technologies
  • AWS
  • GCP
  • Azure
  • Edge Devices
  • Android Platforms
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