Senior AI Developer

Stellix; Northern (KY); Hybrid; USD 135,000 - 160,000; Full time

Benefits offered by this job

Unlimited Vacation Time

401(k) and ESOP

Medical/Dental/Vision Insurance

Professional Development Reimbursement

On-site facilities and support

Job summary

Stellix in the United States seeks a Senior AI Developer to design, develop, and deploy AI-enabled applications across business and engineering use cases. You will translate customer needs into scalable AI solutions and integrate them with data, systems, and workflows.

You will collaborate with teams to ensure security, reliability, and maintainability, driving production readiness in on-site environments across labs, plants, and control rooms.

Qualifications

• Bachelor's or Master's in CS/AI/ML or related field.
• Strong Python and software development basics.
• Experience with AI/ML libraries, APIs, and data pipelines.

Responsibilities

• Design, develop, test, deploy, and support AI-enabled applications.
• Translate business needs into scalable AI solutions.
• Integrate AI with enterprise data, services, and workflows.
• Prototype emerging AI tech and move concepts to production.
• Develop reusable AI components and maintainable patterns.

Skills

Python

AI/ML

APIs & Backend

SQL/Relational DBs

Git

Docker

Cloud/Hybrid

C#/.NET

CI/CD

Education

Bachelors/Masters in CS/AI/ML

Tools

Docker

SQL (SQL Server/PostgreSQL)

APIs

Git

.NET

CI/CD

Job description

Our people drive outcomes in live operations.

Organizations in the life sciences and other critical industries need a partner who can define what’s next and stay accountable once it’s live. That’s the work here: we design, implement, and govern the operating models that turn disruption into durable competitiveadvantage.

You need frontline execution judgment, not just the ability to deliver strategy slides. The work is designing for resilient operations in the life sciences and other critical industries. The opportunity is to positively impact the lives of real people: your family, your friends, your colleagues, and others around theworld.

You will work directly with customers in high-stakes environments, including labs, manufacturing sites, and control rooms. Every situation is different, but in all cases, innovation and change cannot compromise quality, production, orcompliance.

You’re committed to designing, running, and governing the “best digital architecture for the client,” helping them use AI to get the most out of their physical and digital assets to achieve their desiredoutcomes.

You’re evaluated on results, not project completion alone. Whether it’s accelerated batch release, reduced deviations, or increased throughput, your success is defined by the measurable impact you make on the client’soperations.

Why people choose to build a career atStellix

That judgment is only the beginning. Stellix team members develop a rare, compounding blend of strategic and operational expertise toward something bigger: the opportunity to create an AI-empowered operational transformation partner that can guide organizations into a new frontier of operationalexcellence.

Our team members help define how these environments run. You’re helping to build the new frontier of the business itself, combining people, data, systems, AI, robotics, and intelligent automation to change what’spossible.

Most partners can either design the future or run live operations. Stellix team members do both. They work directly with customers, not just for them, to design, run, and govern the adaptive operating models that will make their business moreresilient.

Those individual results add up to something more lasting. Stellix team members are building a company that creates meaningful outcomes not just for customers, but for the communities theyserve.

Life at Stellix

On the floor, in the data, with the customer.

Our people work where the operation is — plants, labs, control rooms, and the systems behind them — designing, running, and governing the models that keep them adaptive. One team, blending strategy and execution across functions and industries, turning continuous change into durableadvantage.

What we offer

Close to the operation, honest about complexity, and measured on outcomes — not activity. You’ll partner directly with the customers whose production depends on getting itright.

• Continued learning &certification
• Employee-owned(ESOP)

The approach

Four connected disciplines. One accountable team.

Careers here span the full lifecycle — design it, implement it, and govern it once it’s live. Wherever you sit, the workconnects.

Operational Foresight

See risk and opportunity before they hit the floor. We use live plant data and modeling to plan the next move with confidence — so decisions are made early, not in acrisis.

Strategy in Motion

Turn strategy into sequenced, executable change that adapts as conditions shift — not a binder that sits on a shelf. Outcomes stay the fixed point; the planflexes.

Digital Infrastructure for Adaptive Operations

The connected data-and-control backbone — from IIoT sensors (internet-connected industrial devices) to MES (manufacturing execution systems that run and record production) — that lets operations flex withoutbreaking.

Outcomes and Adaptive Advantage

Measurable results that compound: faster time-to-batch-release, higher uptime, fewer deviations, lower cost-to-serve — and the resilience to keep improving as changecontinues.

Stellix helps organizations in the life sciences and other critical industries connect strategy, systems, and teams so they can turn digital and AI investments into measurable operational results. Join our team as we design, implement, and govern the adaptive operating models that produce outcomes that matter to our clients and the communities they serve.

Role Summary

The Senior AI Developer is responsible for designing, developing, integrating, deploying, and supporting artificial intelligence solutions across a broad range of business, engineering, and customer use cases.

The role supports the full AI solution lifecycle, from research and prototyping through production deployment, optimization, and scale. The individual will work with machine learning, generative AI, intelligent automation, agentic AI, and emerging technologies to deliver secure, reliable, maintainable, and reusable enterprise AI solutions.

This role is not limited to a specific technology, platform, or use case and requires the ability to adapt as AI technologies, customer needs, and business requirements evolve.

Qualifications & Technical Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Software Engineering, or a related technical field.
• Strong proficiency in Python with a solid foundation in software engineering and application development.
• Strong understanding of artificial intelligence and machine learning, including generative AI and emerging AI technologies.
• Experience with or knowledge of commonly used AI/ML libraries and frameworks.
• Understanding of AI agents, intelligent automation, information retrieval, embeddings, semantic search, and vector-based data retrieval.
• Experience developing and integrating APIs, backend services, databases, data pipelines, and AI/ML capabilities into applications.
• Working knowledge of SQL and relational databases, such as SQL Server, PostgreSQL, or equivalent technologies.
• Proficiency with Git and source control practices in a collaborative software development environment.
• Experience with or exposure to additional enterprise development technologies such as C#/.NET.
• Familiarity with containerization technologies such as Docker, application deployment, and environment configuration and troubleshooting.
• Understanding of cloud, on-premises, and hybrid environments and considerations for deploying and operating AI solutions.
• Understanding of production software and AI considerations, including performance, scalability, reliability, monitoring, security, testing, and maintainability.

Key Responsibilities

• Design, develop, test, deploy, and support AI-enabled applications and services.
• Translate business and customer needs into practical and scalable AI solutions.
• Integrate AI capabilities with enterprise applications, data, services, and business workflows.
• Prototype and evaluate emerging AI technologies and transition successful concepts into production solutions.
• Develop reusable AI capabilities, components, and technical patterns that can support multiple applications, business functions, and customer use cases.
• Evaluate and continuously improve AI solution quality, performance, reliability, and scalability.
• Contribute to AI architecture, technical documentation, development standards, and engineering best practices.

Core Competencies

• Strong analytical thinking, problem-solving, and problem-decomposition skills.
• Ability to independently research and work through unfamiliar technical challenges.
• Curiosity and willingness to continuously learn and adapt as AI technologies evolve.
• Ability to balance experimentation and innovation with established project objectives, priorities, scope, and timelines.
• Sound judgment when evaluating new technologies and alternative approaches without unnecessarily changing project direction.
• Strong attention to quality, reliability, maintainability, security, and technical detail.
• Effective communication and collaboration with technical teams, subject matter experts, business stakeholders, and customers.
• Demonstrates ownership, accountability, effective time management, and prioritization.
• Ability to adapt to different business domains, customer requirements, and technical environments.

Measures of Success

• Delivers AI-enabled applications and services on time, within scope, and aligned with business and customer requirements.
• Transitions successful AI prototypes and emerging technology evaluations into secure, maintainable, production-ready solutions.
• Produces measurable business value through productivity improvements, cost reduction, cycle-time reduction, revenue contribution, or enhanced customer outcomes.
• Maintains high solution quality, including model accuracy, retrieval relevance, agent task-completion rates, response quality, and minimized hallucinations.
• Ensures reliable and scalable production performance through strong availability, latency, throughput, monitoring, incident response, and recovery practices.
• Drives adoption of AI solutions by achieving sustained user engagement, workflow integration, stakeholder satisfaction, and customer acceptance.
• Develops reusable AI components, technical patterns, APIs, and documentation that accelerate delivery across multiple applications and business functions.
• Maintains strong engineering practices, including appropriate testing, code quality, source control, deployment discipline, defect reduction, and technical maintainability.
• Protects company, customer, and employee data by meeting security, privacy, compliance, and responsible AI standards.
• Continuously improves AI solutions based on performance data, user feedback, changing business needs, and advances in AI technology.
• Builds effective partnerships with technical teams, subject matter experts, business stakeholders, and customers to ensure successful solution outcomes.

Here’s What You’ll Get

• Highly competitive Medical, Dental, and Vision Insurance
• Flexible Spending or Health Savings Accounts
• Unlimited Vacation Time
• 10 Paid Holidays
• 12 Paid Weeks Birthing Parent Leave
• Pet Insurance
• Retirement Savings: 401(k) and Employee Stock Ownership Plan
• Employee Referral Bonus
• Professional Development Reimbursement
• Company Paid STD, LTD, and Life Insurance

Compensation: This position offers a base salary range of $135,000 to $160,000, based on experience and qualifications. The role is also eligible for a variable compensation plan.

The posted salary range represents a good faith estimate of the expected compensation for this role at the time of posting. Final compensation will be determined based on factors such as relevant experience, skills, qualifications, internal equity, and business needs.

On-Site Requirements

This position requires a full on-site presence 5 days per week during the first 4–6 months. Following that period, the role will be on-site four days per week, including Monday, Wednesday, and Thursday, with the fourth on-site day alternating between Tuesday or Friday depending on business needs.

Must be currently authorized to work in the United States.

Please Note: Stellix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

The work keeps evolving as our customers’ operations do. Join our talent network and we’ll reach out when the right fitopens.