Wallero
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Information Technology Support Services · 51 to 200 Employees · Bellevue, US
Wallero was born out of technically savvy individuals whose life is revolving around technology and passion to solve innovative problems for customers. At Wallero we go out of our bounds to take care of our customers and employees and it is not by a choice, but by the very nature of the roots of our company. We specialize in offering solutions end to end using devices, cloud and data to unlock the capabilities that were not possible until few years ago. Within our company we use very lean process and smart automation to improve the pace of delivery and shave off the unnecessary costs and pass on the savings to our customers. Wallero has offices in Bellevue, WA and Hyderabad, India.
Hiring: Engineering
What employees say
+ Good workplace and great colleagues who support each other. Regular training sessions and employee care programs are helping to stay healthy and positive.
− It may vary person to person. I believe in contribute, help people around, stay focused to build your strong career.
More reviews on the company profile.
Interview experience · .NET Full Stack Developer
Review for Interview at Wallero – Lead .NET Full Stack Developer, Hyderabad My experience with the interview process at Wallero was quite disappointing and unprofessional. I was asked to complete the online assessment t
Easy difficulty · India · 5 reports
More interview insightsJob description
Overview
We are seeking an experienced AgentOps(Machine Learning Engineer) to adopt the AgentOps framework into production-grade GenAI and Agentic AI solutions.
Qualifications
- 5+ years of experience in Software Engineering, Machine Learning Engineering, or AI Engineering.
- Strong proficiency in Python and modern software engineering best practices.
- Hands-on experience building and deploying production-grade GenAI, Agentic AI, or LLM-powered applications.
- Strong understanding of RAG, prompt engineering, tool calling, agent memory, and multi-agent architectures.
- Strong debugging, troubleshooting, and performance optimisation skills.
- Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes).
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Job application FAQ
Last updated 12 October 2026
- How do I apply for AgentOps (ML Engineer) at Wallero?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Wallero may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AgentOps (ML Engineer) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AgentOps (ML Engineer) remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this AgentOps (ML Engineer) role at Wallero?
- This is a mid-level AgentOps (ML Engineer) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.