Time since we first saw it
Day 4
Similar jobs usually come down between day 4 and day 77.
At 84.51°, jobs usually come down by about day 40.
From 51 similar postings that came down, and 11 of 84.51°’s. Coming down is not always a hire.
Lead AI/ML Engineer (P4363)
Reads like an AI Engineer role: building products on existing AI models.
Cincinnati, OH; Chicago, IL
Actively hiring, first seen by us 4 days ago- Pay
USD 125,000–207,000/year · BaseAnnual period assumed — pay source
Base Pay Range $125,000—$207,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 3 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingLead technical engineering on multi-month agentic AI projects
Build and maintain production agentic systems and backend services
Package agent capabilities as reusable APIs and components
Build tools to monitor agent behavior, quality, latency and reliability
Own code reviews and QA sign-off
From the employer’s posting
Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
Build, steward, and maintain production-grade agentic systems and supporting backend services
Package agent capabilities, tools, and supporting services as reusable APIs and components that can be integrated across the organization.
Develop tools, processes, and operational capabilities to monitor agent behavior, response quality, data accuracy, latency, and system reliability.
Responsible for code reviews and QA sign off
Posting record
Report an errorActively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 20264 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
84.51° is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Databricks
- Docker
- Kubernetes
- Snowflake
- Terraform
Where the posting names them
QUALIFICATIONS, SKILLS, AND EXPERIENCE Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field. · 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability. 4+ years of experience applying programming languages, software design patterns, and modern engineering technologies to build production solutions. 2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems. 2+ years of experience with generative AI technologies preferred. · 2+ years of experience in tech consulting, retail or related professional services preferred Hands-on experience across the end-to-end software development lifecycle, using CI/CD, automated testing, and DevOps practices to develop, deploy, and maintain scalable solutions. Experience delivering production-grade software services or agentic solutions that meet stakeholder needs. · Excellent communication skills, particularly on technical topics. · Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary. Knowledge of generative AI application patterns, including retrieval-augmented generation, tool use, and agent orchestration, is highly preferred. Experience working with a managed agent platform, such as LangSmith, to support agent deployment, tracing, evaluation, and lifecycle management. Experience working with AI-ready data, including preparing, validating, and organizing governed data and metadata for reliable retrieval, context grounding, and agent use. Experience working with a managed data platform, such as Databricks or Snowflake. · Strong skills in Python Strong data engineering and data modeling skills, including integrating data sources and building reliable data pipelines. · Kubernetes & Docker experience · CI/CD Pipeline experience; Github Actions a plus · Terraform experience Experience writing agent evaluations is a plus. Experience with prompt tuning is a plus. Experience working with Model Context Protocol (MCP) servers is a plus.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
__________________________________________________________
LEAD AI/ML ENGINEER (P4363)
RESPONSIBILITIES
· Serve as the technical engineering lead on complex, multi-month projects to build and maintain agentic AI systems across organizational domains.
· Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
· Leverage established software engineering patterns, frameworks, and tools to automate, deploy, and integrate generative AI and agentic solutions.
· Develop tools, processes, and operational capabilities to monitor agent behavior, response quality, data accuracy, latency, and system reliability.
· Partner with researchers, domain experts, and platform teams to optimize and scale agentic systems using software engineering, DevOps, and AI lifecycle best practices.
· Package agent capabilities, tools, and supporting services as reusable APIs and components that can be integrated across the organization.
· Build, steward, and maintain production-grade agentic systems and supporting backend services, including agent APIs, asynchronous jobs, conversation state, file storage, and enterprise integrations, with a focus on security, reliability, observability, scalability, and performance.
· Evaluate emerging generative AI and agent frameworks, orchestration patterns, protocols, and tooling to identify opportunities for enterprise adoption and evolve existing systems.
· Translate business requirements into consumable agent capabilities and services, balancing scale, risk, response quality, latency, and cost to maximize value.
· Reduce time to delivery through automated build, test, and deployment pipelines, coordinated service releases, continuous evaluation, and user feedback and monitoring practices.
· Responsible for code reviews and QA sign off
· Maintain technical documentation, version control, deployment and rollback guidance, and knowledge-sharing practices to support collaboration and operational continuity.
· Make time-sensitive decisions and solve urgent problems without escalation.
QUALIFICATIONS, SKILLS, AND EXPERIENCE
Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field.
· 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability.
4+ years of experience applying programming languages, software design patterns, and modern engineering technologies to build production solutions.
2+ years of hands-on experience building and maintaining scalable AI-powered applications or agentic systems.
2+ years of experience with generative AI technologies preferred.
· 2+ years of experience in tech consulting, retail or related professional services preferred
Hands-on experience across the end-to-end software development lifecycle, using CI/CD, automated testing, and DevOps practices to develop, deploy, and maintain scalable solutions.
Experience delivering production-grade software services or agentic solutions that meet stakeholder needs.
· Excellent communication skills, particularly on technical topics.
· Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary.
Knowledge of generative AI application patterns, including retrieval-augmented generation, tool use, and agent orchestration, is highly preferred.
Experience working with a managed agent platform, such as LangSmith, to support agent deployment, tracing, evaluation, and lifecycle management.
Experience working with AI-ready data, including preparing, validating, and organizing governed data and metadata for reliable retrieval, context grounding, and agent use.
Experience working with a managed data platform, such as Databricks or Snowflake.
· Strong skills in Python
Strong data engineering and data modeling skills, including integrating data sources and building reliable data pipelines.
· Kubernetes & Docker experience
· CI/CD Pipeline experience; Github Actions a plus
· Terraform experience
Experience writing agent evaluations is a plus.
Experience with prompt tuning is a plus.
Experience working with Model Context Protocol (MCP) servers is a plus.
#LI-SSS
Pay Transparency and Benefits
- The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
- Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Base Pay Range
$125,000—$207,000 USD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base Pay Range $125,000—$207,000 USD
- Location & working pattern
Cincinnati, OH; Chicago, IL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.