Llm Observability Engineer Jobs

1 job found

1d ago

Machine Learning Engineer I

Indeed Remote 🌍 Remote

Remote

1d ago

$118k - $245k/yr Full time Agent Orchestration Agentic Systems AI

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Job Description

Build and deploy machine learning and AI capabilities for Indeed’s Sourcing team, with a focus on production reliability and LLMOps.

Responsibilities

Develop a range of machine learning models, moving from prototype stages to production
Apply best practices for model evaluation, monitoring, and MLOps
Work with cross-functional teams on model inference and product applications for Sourcing
Contribute to code review and process improvements for software engineers and Machine Learning Engineers, and document your work
Use technical and product thinking to drive ownership of team priorities and Indeed’s mission to help people get jobs

Requirements

Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field plus at least 2 years of related experience; or an advanced degree with no experience
Experience with agent orchestration frameworks and LLM observability tools
Strong domain knowledge for training, fine-tuning, and evaluating language models
Knowledge and practical experience with ML/LLM/Deep Learning models (for example: Torch, Tensorflow, Huggingface, XGBoost)
Python and SQL programming experience

Tech Stack

Python
SQL
Torch
Tensorflow
Huggingface
XGBoost
LLM observability tools
Agent orchestration frameworks

Salary Range

Tier 1 (United States of America): $118,000 - $176,000 USD per year
Tier 2 (United States of America): $130,000 - $196,000 USD per year
Tier 3 (United States of America): $143,000 - $215,000 USD per year
Tier 4 (United States of America): N/A
Tier 5 (United States of America): $163,000 - $245,000 USD per year

Salary Range Transparency: The range reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the midpoint. Actual compensation depends on job-related skills, experience, and expertise evaluated during the interview process. The range(s) is one component of Indeed’s total compensation package. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and region-specific benefits. Compensation can vary by location, which is grouped into geographic pay tiers. Candidates can view geographic pay tiers at https://www.indeed.com/careers/paytiers, and recruiters can confirm how location is considered for a specific role.

Benefits

Medical, dental, vision, disability, and life insurance
Enrollment in the company’s 401(k) plan
Equity-based incentive program
Open paid time off
11 paid holidays a year
Up to 26 weeks of paid parental leave
Paid time off policy

Location

Remote

Apply

Deadline to apply: 8/17/2026
Job postings may be extended at the hiring team’s discretion based on application volume
Reference ID: 47241

AI Notice

Indeed uses artificial intelligence (AI) tools to assist in screening, assessment, and selection of applicants by analyzing information provided in resumes and applications
AI use does not replace human decision-making
Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as defined in applicable laws

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