Software Engineer
The AI Engineer at Confidential Client is responsible for designing, developing, and deploying AI/ML-powered software solutions, including LLM-based tools and automation, to enhance business operations and product innovation. This role involves full lifecycle AI/ML development, from prototyping to production deployment, with a strong emphasis on collaboration, security, privacy, and responsible AI practices within a fast-paced, agile environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
- Design, develop, test, and deploy AI-powered software applications (LLM-based tools, copilots, automation solutions) for a confidential client in the manufacturing sector.
- Build and integrate APIs, microservices, and data pipelines that support AI/ML functionality.
- Contribute to identifying, prototyping, and validating high-value AI use cases in collaboration with product, engineering, and lab-services stakeholders.
- Translate product and engineering requirements into scalable, production-grade solutions that follow architectural and quality standards.
- Support production deployment and ongoing maintenance of AI/ML applications, including monitoring, logging, and performance optimization.
- Contribute to CI/CD pipelines, model lifecycle management, and MLOps practices.
- Participate in sprint planning, code reviews, and cross-functional design discussions; report progress and trade-offs to engineering leadership.
- Follow established standards for security, privacy, and responsible AI; support software validation, testing, and documentation in quality-managed environments.
Key Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, Electrical/Computer Engineering, or a related field required.
- 2+ years of professional experience in software engineering, applied data/ML engineering, or related roles, with demonstrated delivery of AI/ML solutions into production.
- Experience translating product requirements into working prototypes and production deployments.
- Strong written and verbal communication skills; track record of collaborating across engineering and cross-functional teams.
Technical Skills
- Hands-on experience with LLM-based applications: prompting patterns, tool/function calling, retrieval-augmented generation (RAG), embeddings/vector databases, guardrails, and evaluation techniques.
- Practical experience across the AI/ML lifecycle: data pipelines, evaluation, deployment, monitoring, maintenance, and MLOps.
- Experience with cloud platforms (Azure or AWS), APIs/microservices, CI/CD pipelines, and secure deployment practices.
- Familiarity with data security, privacy, governance, and responsible AI practices (access control, auditability).
- Knowledge of software verification/validation, risk-based testing, and quality-management practices in regulated or quality-managed environments.
- Demonstrated ability to use AI tools to improve productivity, evaluate AI outputs critically, and identify appropriate AI use cases.
Preferred / Nice-to-Have
- Advanced degree (MS/PhD) in AI/ML, Computer Science, or related field.
- Relevant certifications (Azure AI Engineer, AWS ML Specialty, Databricks, etc.).
- Experience with embedded ML applications or industrial/manufacturing deployments.
Compensation & Employment Type
- Employment type: Full-time, Salaried.
- Base salary range (USD): $120,000 — $140,000 (good-faith estimate; final offer depends on experience, skills, and location).
- Incentives/bonuses: Not specified.
Location & Work Environment
- Location: Mount Prospect, IL, USA. This role supports production-grade AI/ML systems for a confidential client in manufacturing. Onsite or hybrid expectations should be confirmed during the hiring process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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