Senior Product Engineer — Full Stack

Innomium

Northern (KY)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Health and wellness
Paid time off
Professional development
Equipment and remote-work support
Retirement contributions
Remote-first flexibility

Job summary

Innomium is an applied AI research and engineering company that turns ambitious technical ideas into dependable, production-ready systems. As Senior Product Engineer you will own the product-engineering layer and translate research, models, data, and workflows into software that teams can operate.

You will design web apps, APIs, services, and integration systems across Innomium products and client programs, collaborating with AI engineers, researchers, and infrastructure specialists, with a

Qualifications

  • Proven experience designing, shipping, and operating modern software products.
  • Advanced proficiency with TypeScript and server-side languages.
  • Experience building production web applications, backend services, and APIs.
  • Strong understanding of API design, data modeling, authentication, authorization, and web security.
  • Knowledge of distributed-system behavior: retries, timeouts, concurrency, partial failures, and recovery.
  • Evidence of owning meaningful systems beyond their initial implementation.
  • Experience writing automated tests and using monitoring, logging, and observability tools.
  • Ability to explain technical trade-offs to both technical and non-technical collaborators.
  • Strong written communication and remote collaboration skills.

Responsibilities

  • Design and deliver production-grade web applications, APIs, services, and internal platforms.
  • Translate product, user, security, and operational requirements into clear technical boundaries and delivery milestones.
  • Make practical architectural decisions that balance speed, maintainability, performance, security, and cost.
  • Own code quality, automated testing, observability, documentation, and release readiness.
  • Integrate AI models, data platforms, identity systems, billing services, workflow tools, and third-party applications.
  • Review technical designs and code while helping raise engineering standards across the team.
  • Identify risks, dependencies, and failure modes before they become production issues.
  • Document architecture, operational behavior, technical decisions, and handover requirements.
  • Support systems after release and improve them based on production evidence and user feedback.
  • Contribute to better engineering practices without introducing unnecessary process.

Skills

TypeScript
Server-side language
API design
Distributed systems
Automated testing
Observability
Documentation
Remote collaboration

Tools

React
Next.js
PostgreSQL
Python
Cloud-native services

Job description

Own the product-engineering layer that turns research, models, data, and infrastructure into software real teams can operate, trust, and extend.

Innomium is an applied AI research and engineering company that turns ambitious technical ideas into dependable, production-ready systems.

We bring together AI research, product engineering, data, cloud infrastructure, evaluation, and operational delivery within one accountable program. Our teams work with startups, product companies, and enterprises to build custom AI models, software products, deployment pipelines, integrations, and reproducible evaluation systems.

Our work spans language models, AI agents, computer vision, retrieval systems, cloud and edge deployments, open research releases, and engineering contributions. Through Innomium Arena, we also create structured opportunities for builders to contribute to challenging technical projects. Through Innomium Compute, we provide on-demand GPU capacity for training and inference.

We focus on measurable outcomes, inspectable evidence, and software that teams can operate and improve—not prototypes that stop at the demonstration stage.

The Role

As a Senior Product Engineer, you will own the product-engineering layer that turns research, models, data, infrastructure, and workflows into software that real teams can use.

You will design and deliver web applications, APIs, services, internal platforms, and integration systems across Innomium products and client programs. Projects may include establishing the technical foundation for a new product, modernizing an existing system, or building the production interface around an AI capability.

This is an ownership-oriented role. You will be expected to think beyond individual tickets, clarify the intended user and business outcomes, challenge weak architectural decisions, instrument the systems you build, and leave behind software that another engineer can confidently understand and operate.

You will work closely with AI engineers, researchers, product designers, data engineers, and infrastructure specialists.

What Strong Performance Looks Like

During your first several months, you will be able to take a defined product area from uncertain requirements to a reviewable technical design and a working production release.

You will communicate trade-offs clearly, make progress visible, and surface risks early. Your work will include appropriate testing, observability, documentation, and operational considerations rather than treating them as follow-up tasks.

Over time, you will also improve the engineering environment around you. This may include strengthening testing practices, technical writing, code review, observability, release processes, and the quality of decisions made before implementation begins.

How We Work

Innomium operates through small, accountable teams with direct access to the technical problem.

We value:

  • Clear ownership and reliable execution.
  • Written decisions and reviewable technical reasoning.
  • Measurable acceptance criteria.
  • Honest communication about risks and limitations.
  • Practical solutions over unnecessary complexity.
  • Documentation and handover from the beginning of a project.
  • Engineering decisions connected to user and operating outcomes.

Remote collaboration requires dependable communication, thoughtful handoffs, and agreed working-hour overlap with the relevant delivery team.

Compensation and Benefits
Compensation range: $150,000–$200,000 USD (base), depending on experience, location, and engagement type. Total compensation may include performance-based bonuses or equity participation where applicable. Employment arrangement: Full-time Location and working hours: Remote. United States preferred; international candidates are considered subject to work authorization, contracting or employment availability, and required overlap with team working hours. Health and wellness: Medical, dental, and vision coverage (or equivalent stipend for international contractors), plus access to mental health and wellness support programs. Paid time off: Flexible paid time off policy, including vacation, sick leave, and company holidays. Parental leave provided in accordance with local regulations and role type. Professional development: Annual learning and development budget for courses, certifications, books, and conferences. Support for attending relevant industry events and technical communities. Equipment and remote-work support: Company-provided laptop and necessary development equipment. Monthly stipend for internet and home-office setup where applicable. Access to required software and cloud tools. Additional benefits: Retirement or pension contributions where applicable, remote-first flexibility, and potential performance-based bonuses or equity participation depending on role and engagement type.
What You Will Own

The work this role is expected to own.

  • Design and deliver production-grade web applications, APIs, services, and internal platforms.
  • Translate product, user, security, and operational requirements into clear technical boundaries and delivery milestones.
  • Make practical architectural decisions that balance speed, maintainability, performance, security, and cost.
  • Own code quality, automated testing, observability, documentation, and release readiness.
  • Integrate AI models, data platforms, identity systems, billing services, workflow tools, and third-party applications.
  • Review technical designs and code while helping raise engineering standards across the team.
  • Identify risks, dependencies, and failure modes before they become production issues.
  • Document architecture, operational behavior, technical decisions, and handover requirements.
  • Support systems after release and improve them based on production evidence and user feedback.
  • Contribute to better engineering practices without introducing unnecessary process.
Required Qualifications

Capabilities and experience that support success in this role.

  • Strong professional experience designing, shipping, and operating modern software products.
  • Advanced proficiency with TypeScript and experience with at least one server-side language or platform.
  • Experience building production web applications, backend services, and APIs.
  • Strong understanding of API design, relational data modeling, authentication, authorization, and web security.
  • Practical knowledge of distributed-system behavior, including retries, timeouts, concurrency, partial failures, and recovery.
  • Evidence of owning meaningful systems beyond their initial implementation.
  • Experience writing automated tests and using monitoring, logging, and observability tools.
  • Ability to explain technical trade-offs to both technical and non-technical collaborators.
  • Strong written communication and documentation skills.
  • Ability to work effectively in a remote environment with a high degree of autonomy and accountability.
Preferred Qualifications

Valuable adjacent experience, but not a substitute for the core requirements.

  • Experience integrating large language models, AI agents, computer vision, retrieval, or other machine-learning capabilities into production products.
  • Experience with React, Next.js, PostgreSQL, Python, or cloud-native services.
  • Familiarity with model serving, evaluation systems, inference infrastructure, or AI observability.
  • Experience with product discovery or turning uncertain requirements into defined technical plans.
  • Previous technical leadership, mentorship, or architecture ownership.
  • Experience working directly with clients, stakeholders, or cross-functional delivery teams.
  • Experience modernizing legacy applications or designing incremental migration strategies.
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