AI/ML Engineer

About Ascendion

Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.

Learn more at .

Engineering to the Power of AI™, AAVA™, Engineering AI , Engineering to Elevate Life™, Enterprise Platforms AI , Data & Insights AI , Experience AI , GCC AI , Operations AI , Platform Engineering AI , Product AI , and Quality Engineering AI are trademarks or service marks of Ascendion ® . AAVA™ is pending registration. Unauthorized use is strictly prohibited.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world's leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

We are looking for an AI/ML Engineer to join our team in Columbus, 43240. The ideal candidate will have experience with modularized Gradle builds, Kotlin Multiplatform, performance optimization, dependency injection, networking stacks, offline-first patterns, and regulated industries.

Job Title

AI/ML Engineer/ Agentic AI Engineer

Must Haves:

• software engineering experience with a strong track record of building and shipping production systems.
• Hands-on experience designing, deploying, monitoring, and debugging production-grade Agentic AI / GenAI applications.
• Strong Python development expertise for AI and backend engineering.
  Experience with Java or willingness to work extensively with Java-based service layers.
• Practical experience with LangChain, LangGraph, or similar AI agent orchestration frameworks.
• Experience deploying AI applications on Kubernetes and working with production AI infrastructure.
• Ability to build LLM tools/skills and integrate AI agents with enterprise applications and workflows.
• Experience designing, troubleshooting, and explaining system architecture, monitoring, failure modes, and production debugging.
• Strong understanding of AI system reliability, scalability, and operational best practices.
• Experience partnering directly with business stakeholders to deliver AI solutions from concept through production.

Key Responsibilities

• Design, build, deploy, and operate production-grade Agentic AI systems for enterprise-scale applications.
• Own AI use cases end-to-end, from business requirement gathering through deployment, monitoring, and ongoing support.
• Develop and implement agent orchestration workflows using frameworks such as LangChain and LangGraph.
• Build reusable LLM tools and enterprise skills that enable AI agents to securely interact with business systems.
• Develop scalable backend services using Python, while integrating with existing Java service layers where required.
• Deploy and maintain AI workloads on Kubernetes and support model-serving infrastructure (e.g., vLLM).
• Monitor production AI systems, investigate failures, perform debugging, and implement reliability improvements.
• Collaborate with engineering, business, and vendor teams to deliver high-quality AI solutions with minimal ramp-up time.
• Ensure AI solutions meet enterprise standards for performance, scalability, security, and operational excellence.
• Drive production-first engineering practices and mentor teams on best practices for deploying and operating Agentic AI systems.

Location

Columbus, 43240

Salary and Other Compensation:

The annual [salary/hourly rate] for this position is between [$100,000 - 110,000 annually]/[$55.00 - $65.00 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]


Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!

Preferred Skills


Python

• AI/ML
• Agentic AI
• LangChain/LangGraph
• production AI infrastructure
• Kubernetes/Docker
• AI Integration

Job details


Job ID 332879


Role AI/ML Engineer


Location Columbus, Ohio, US


Job type Direct Hire


Recruiter Rahul


Email View email address on click.appcast.io


About Ascendion


Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.


Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.