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Software Engineer Ai Model Training Jobs in Chicago, IL

AI Software Engineer 1

Chicago, IL ยท On-site

$80K - $100K/yr

Pursues training and development opportunities; Strives to continuously build knowledge and skills ... Basic understanding of AI large language models (LLMs) and modern AI tooling (e.g., Claude, Copilot ...

... scientists, software developers, and business stakeholders to align AI solutions with ... Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet ...

Senior Software Engineer, AI/ML

Chicago, IL ยท On-site

$72K - $141K/yr

The ideal candidate has a strong foundation in Large Language Models and understands how they work ... Vertex AI using Gemini or OpenAI * Expertise in Prompt Engineering Best Practices Hands-on ...

AI Engineer

Chicago, IL ยท On-site

$57 - $73.50/hr

Fitch Solutions is currently seeking a Senior Software Engineer, AI based out of our Chicago office ... Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models ...

AI Engineer

Chicago, IL ยท On-site

$57 - $73.50/hr

Fitch Solutions is currently seeking a Senior Software Engineer, AI based out of our Chicago office ... Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models ...

Showing results 41-60

Software Engineer Ai Model Training information

See Chicago, IL salary details

$65.4K

$152K

$211.7K

How much do software engineer ai model training jobs pay per year?

As of Aug 21, 2026, the average yearly pay for software engineer ai model training in Chicago, IL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 per year, depending on experience, location, and employer.

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What job categories do people searching Software Engineer Ai Model Training jobs in Chicago, IL look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Chicago, IL are:

Software Engineer, AI & Product Systems

MedPro Disposal

Naperville, IL โ€ข On-site

Full-time

Medical, Dental, Vision

Re-posted 15 days ago


Job description

Company Overviewย 

The Compliance Services Organization didn't exist. We built it.

MP1 Solutions pioneered the Compliance Services Organization (CSO) โ€” a new category of operating partner built to replace the fragmented vendor model that has defined compliance programs for decades. Built on the foundation of MedPro Disposal, the nation's largest privately-held medical waste company serving 35,000+ providers across 48 states over the past 15 years, MP1 Solutions extends that operational infrastructure, vendor network, and customer trust into a category we're actively building โ€” and leading. We're doing it with a technology-forward approach, actively developing the AI infrastructure that will make this model smarter, faster, and more scalable as we grow.

What we do:ย We operate as the single compliance partner for non-acute healthcare facilities โ€” consolidating every obligation into one coordinated program, assigning one dedicated account manager as the point of accountability, and actively managing the underlying vendor ecosystem through continuous evaluation, negotiation, and optimization on the practice's behalf.

Why it matters:ย Regulated facilities across the country are managing compliance the same fragmented way they always have. We're changing that โ€” and we're looking for people who want to help build what comes next.

Our technology:ย We're actively building the AI infrastructure that sits behind this model โ€” automating compliance tracking, surfacing risks before they become problems, and creating a system that gets smarter with every client we add. If you want to build at the intersection of compliance and technology, you're in the right place.

Our impact:ย Our clients never have to worry about something falling through the cracks โ€” obligations are coordinated, tracked, and documented in one place. We audit costs, eliminate overcharges, and deliver proof of compliance that always keeps practices inspection ready. Every client has one dedicated account manager who owns their program end to end. And unlike a traditional vendor relationship, our model is designed to get better over time โ€” continuously re-evaluated, optimized, and improved with every client we serve.

Positionย  Overview:

MP1 Solutions & MedPro Disposal is actively building the AI and product infrastructure that powers the nation's first Compliance Services Organization โ€” a new category of operating partner for non-acute healthcare facilities. This role exists to turn that vision into production-grade software: real systems, used by real clients, generating real revenue.

The Software Engineer, AI & Product Systems will own the design and delivery of multi-tenant dashboards, AI scoring pipelines, voice agent integrations, and CRM-connected platforms that define our compliance technology stack. Success looks like reliable, scalable systems that make our clients' compliance programs run without friction โ€” and make our internal teams faster, smarter, and more accountable.

Key Responsibilities:

  • Build and maintain production AI pipelines โ€” including call scoring via Claude, automated PDF scorecard generation, and coaching email delivery integrated with Gong and Google Sheets.
  • Develop and own multi-tenant client and rep-facing dashboards with real-time Salesforce sync, role-based access control (RBAC), and embedded analytics on Next.js and Supabase.
  • Architect and deliver the internal Lead Management Platform replacing Velocify โ€” including skills-based routing, SLA enforcement, Twilio dialer, and completeness scoring across a 25+ table schema.
  • Integrate and maintain AI voice agent infrastructure (Vapi, Bland) with backend CRM handoff, conversation memory, and live escalation routing.
  • Administer and extend Salesforce across Sales, Service, and Marketing Clouds โ€” building custom fields, validation rules, Flows, and SOQL-driven analytics for the sales performance system.
  • Design and maintain internal automation workflows via n8n, webhook-driven pipelines, and API integrations that eliminate manual work across departments.
  • Uphold engineering discipline: write tests for real edge cases, maintain CI/CD pipelines via GitHub Actions and Vercel, manage staging vs. production environments, and ensure security best practices including RBAC, input sanitization, and secret management.

What You Will Build:

You will own production systems. Current and upcoming projects include:

AI Scoring Pipelines

Call audio in from Gong, scored by Claude, written to Sheets, PDF scorecards generated, coaching emails sent โ€” fully automated and already in production.

Multi-Tenant Dashboards

Client and rep-facing platforms with real-time Salesforce sync, RBAC, and embedded analytics. Built on Next.js and Supabase.

Lead Management Platform

Full Velocify replacement โ€” skills-based routing, SLA enforcement, Twilio dialer, outbound sequencing, and completeness scoring. 25+ table schema.

AI Voice Agents

Inbound agents via Vapi and Bland with backend logic, CRM handoff, conversation memory, and live escalation routing.

Sales Performance System

Scorecard engine, intervention dashboards, morning brief generator, and lead accountability tracking wired into Salesforce via SOQL.

Internal Automation

n8n workflows, webhook-driven pipelines, and API integrations that eliminate hundreds of hours of manual work across departments.

CRM Management

Salesforce administration duties including creation of custom fields, validation rules, Flows (automation), and more. Would be involved in future projects including Service Cloud migration, build-out of products and price books, and more including Velocify administration.

On AI and Vibe Coding:

We use Claude Code, Cursor, and every AI tool that makes us faster โ€” and we expect you to as well. But you need to understand what you are shipping. If you cannot explain what a function does, debug it without AI help, or spot a bad pattern before it hits production, this is not the right role. We want engineers who use AI as a multiplier, not a crutch.

Qualifications:

Required

  • Years of Experience: 3+ years of professional software engineering experience shipping production applications.
  • Technical Stack: Node.js, Next.js 14+, TypeScript โ€” used daily, not aspirationally.
  • Database Design: PostgreSQL or Supabase โ€” schema design, normalization, complex queries, and indexing.
  • API Integration: REST, OAuth2, JWT, webhooks โ€” you build integrations that don't break at 2am.
  • LLM Integration: At least one shipped production feature using Claude or OpenAI, including prompt design, streaming, token management, and error handling.
  • Real-Time Systems: WebSockets, SSE, or Supabase Realtime โ€” you've built something that updates live.
  • Testing & CI/CD: You write meaningful tests and do not break main. GitHub Actions, Vercel, staging/prod discipline.
  • Security Awareness: RBAC, input sanitization, secret management, rate limiting, CORS โ€” you handle the basics without being asked.
  • AI Tool Proficiency: You use Claude Code, Cursor, and similar tools actively โ€” and you can explain, debug, and audit what they generate.
  • Location: Must be US-based; Naperville, IL onsite preferred.

Nice-to-Have

  • Salesforce API integrations โ€” jsforce, REST, bulk jobs.
  • PDF generation pipelines โ€” Puppeteer, React-PDF, or equivalent.
  • Voice agent platforms โ€” Vapi, Retell, or Bland webhook architecture and real-time audio design.
  • Multi-tenant SaaS patterns โ€” row-level security, scoped data access, organization isolation.
  • RAG pipeline design โ€” chunking strategy, embedding models, retrieval evaluation.
  • Prior experience at a B2B company where software you built touched revenue directly.

Compensation & Benefits:

  • Competitive base salary of $80,000 โ€“ $150,000, depending on level experience.
  • Comprehensive health, dental, and vision insurance coverage.
  • Direct exposure to executive leadership and the opportunity to help architect the technology foundation of a rapidly scaling AI-driven compliance platform.
  • High-ownership engineering environment where your work directly impacts revenue, operations, and client experience.
  • Opportunity to build production-grade AI systems, voice agents, internal automation platforms, and multi-tenant SaaS products from the ground up.
  • Access to modern engineering tools, AI-assisted development workflows, and emerging LLM technologies.
  • Collaborative, fast-moving culture focused on innovation, execution, and continuous improvement โ€” with minimal bureaucracy.
  • Career growth opportunities within a scaling technology and compliance organization operating at the intersection of AI, SaaS, and healthcare operations.

MedProย Disposal and MP1 Solutions are equalย opportunityย employers. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminateย on the basis ofย race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by law.ย