AI Engineer 4

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Summary 

Data Innovations (DI) provides laboratories around the world with solutions that range from connectivity to full workflow management.  Standardization, flexibility, control, and quality are some of the reasons why more than 4,700 customers worldwide have DI in their lab.  

This role’s primary responsibilities are to provide technical direction and hands-on software engineering with best practices for the full software development life cycle to deliver high-quality technology solutions in a fast-paced growth environment. This role is expected to demonstrate expertise in a variety of the field’s concepts, practices, and procedures. The Engineer will rely on extensive experience and judgment to accomplish goals and perform the essential functions and responsibilities of the job. In this role, the AI Engineer IV will provide technical direction across all Engineering teams – helping embed AI-enabled development approaches.  

The Engineer owns engineering problems end-to-end, applying creativity and technical expertise to solve them in novel ways. Operating with an AI-first mindset, they influence the evolution of our engineering practices, redefining how work gets done, not just what we build. 

Essential Functions and Responsibilities

• Review, modify, develop, write and implement software applications, usually very complex in nature, with an AI-augmented approach.  

• Guide teams in building and refining world-class middleware and platform solutions.  

• Provide technical direction for the company and come up with novel ways to solve engineering problems using AI. 

• Champion an AI-first engineering culture across the team - introducing AI assigned code delivery, monitoring and proactive bug findings.  

• Identify opportunities to embed AI automation in the software lifecycle. 

• Serve as the organization’s authority on emerging AI development practices and champion AI adoption across engineering teams.  

• Build relationships with stakeholders of the teams to understand business context and requirements for the solutions that the project team is working on to deliver.  

Requirements 

Knowledge, Skills, and Abilities 

• 7+ years of proven hand-on software engineering experience with professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations 

• Expert level knowledge of AI IDEs with preference for Claude Code, Cursor, and/or Kiro 

• Proven ability to design and operate with an AI-first mindset including prompt engineering, context management and agentic coding pipelines 

• Familiarity with retrieval-augmented generations (RAG) techniques and strategies 

• Deep understanding of how to integrate AI tooling across the full SDLC - code regeneration, automated testing, documentation, code review and release process 

• Ability to evaluate emerging AI development tools and make data backed solutions to engineering leadership 

• Knowledge of computing and technical environments, such as operating systems, communication protocols, software applications, hardware platforms, etc. 

• Engineers must be available in a scheduled rotation for after-hours support of escalations of Instrument Manager and/or other DI products for critical issues with customers 

• Must comply with and pass initial background check and drug screening, as well as subsequent background checks, drug screenings and vaccine requirements as required by customer contracts  

• Ability to follow DI’s policies and procedures and system usage practices 

• Must have unrestricted work authorization in the United States 

Preferred Skills and Experience

In addition to the above requirements, the ideal employee/candidate could additionally have experience with the following:  

• 3+ years experience working as a technical lead guiding teams through technical decisions 

• Experience with fine-tuning models 

• Experience building or governing AI agent pipeline, Agent factories, AI agent pipelines 

• Experience with cloud-native architecture and multi-tenant systems 

• Familiarity with AI governances and responsible AI practices 

• Knowledge of the integration of laboratory information systems, analytical instrumentation, and automation systems 

Education and/or Experience 

Bachelor’s degree in computer science or related field and a minimum of 7 years relevant working experience OR at least 10 years working in a position as a software developer or similar position 

Physical Requirements/Working Conditions
While performing duties of this job, the employee is predominately functioning in a sedentary light office position with high frequency of telephone communication, keyboarding, and computer. Travel up to 10% may be required. 

Supervision Level 

This person reports directly to a Software Engineering Manager.

Compensation & Benefits

• Salary Range: $158,600 - 200,400. Compensation will be determined based on education, experience, knowledge, skills, and abilities, as well as internal equity and market data.

• Bonus: Full-time, non-sales employees are eligible for DI's annual bonus plan, which takes into account individual, group, and corporate performance.

• Benefits: DI offers a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off, and a 401(k) matching plan.

If you like working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.