Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Job Description:
As a Backend Engineer, you will be responsible for designing, building, and scaling end-to-end ML/Agentic services. You’ll work in a cloud-native environment (GCP preferred) and contribute to the development of agentic workflows and applications. The project involves building chatbots for agentic commerce, with multiple deployment use cases expected throughout the year.
What You’ll Need to Succeed
· 2 to 5+ yrs strong backend engineering experience in ML/Agentic software development
· Proven track record of productionizing end-to-end ML/Agentic services
· Expertise in Python (primary language); Java is a nice-to-have
· Experience with Docker and Kubernetes in cloud environments (GCP preferred)
· Exposure to LangGraph or ability to learn quickly
· Familiarity with MCP (Multi-Agent Control Platform) is highly valued
· Ability to build scalable, high-traffic applications
· Strong problem-solving skills, especially around scaling agentic workflows
· Comfortable working in a fast-paced, remote-first environment
Key Skills
Ranked by relevanceReady to apply?
Join Hays and take your career to the next level!
Application takes less than 5 minutes

