AI Platform Engineer, Infrastructure Job at Brain Co. (San Francisco Bay Area)

Engineering Manager, AI Platform

Lead Airtable's AI Platform pod, which builds the foundational infrastructure an...

Location

United States , San Francisco; New York City

Salary:

240000.00 - 339900.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Platform builder at heart: think in systems and abstractions
experience building infrastructure other teams depend on
Technical depth with strategic thinking
Systems thinker with shipping velocity
AI infrastructure experience: worked on ML platforms, agent frameworks, or AI infrastructure at scale
Quality through architecture
Strong technical and management growth trajectory: 5+ years experience as an engineer (previously in a staff or TL level IC position) and 1+ years as a manager, or a similar combination

Job Responsibility

Build the AI platform foundation: own the core agent architecture, orchestration layer, and runtime
Design for platform scale: create robust abstractions and APIs
Establish AI reliability systems: build evaluation frameworks, monitoring, and quality assurance systems
Drive technical strategy: partner with Staff+ engineers to define the technical roadmap
Enable AI democratization: build platform capabilities that make sophisticated AI accessible to all Airtable users

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Platform Engineer - CI/CD & AI Automation (AI-first)

Groupon is undergoing a critical platform transformation, modernizing its core d...

Location

Czechia , Prague

Salary:

Not provided

Groupon

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in Platform Engineering, DevOps, or Infrastructure roles
Deep expertise building, scaling, and migrating CI/CD systems, with strong practical experience in Jenkins and/or GitHub Actions
Expertise in scripting and automation (Python, Go, or Bash)
Solid understanding of container technologies, Kubernetes, and cloud build systems
Proven experience leveraging AI tooling (e.g., Claude Code, code analysis) to meaningfully increase developer output and optimize platform work
Excellent communication and ability to drive technical decisions across multiple platform and product teams

Job Responsibility

Platform Transformation: Lead the design, planning, and execution of the Jenkins-to-GitHub Actions migration across a large portfolio of microservices
Pipeline Engineering: Design and optimize high-performance, secure, and observable CI/CD workflows across GitHub Actions, Jenkins, and Kubernetes environments
AI-First Automation: Drive an AI-First workflow by leveraging tools (e.g., Copilot, code generation) to eliminate infrastructure toil, accelerate development, and analyze pipeline failures
Core Automation: Develop robust platform automation (e.g., Python, Go, Bash) to improve build efficiency, artifact caching, reliability, and repository hygiene
Security & Compliance: Harden CI/CD infrastructure with robust controls for secrets management, RBAC, audit logging, and secure runner design
Observability: Implement and enhance CI/CD observability using tools like Prometheus, Grafana, and OpenTelemetry to provide deep insights into performance and reliability
Technical Leadership: Mentor engineers and partner across Cloud, Security, and Developer Experience teams to define and evolve our end-to-end delivery platform architecture

Engineering Manager - Product & Platform

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate...

Location

United States

Salary:

180000.00 - 250000.00 USD / Year

Arize

Expiration Date

Until further notice

Requirements

You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams
Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them
Experience balancing people leadership, project execution, and technical depth
Clear, direct communicator who builds trust across teams

Job Responsibility

Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them
Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers
Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable
Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production

What we offer

medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, others for mental and wellness support, competitive equity package, WFH monthly stipend to pay for co-working spaces

Fulltime

Senior Director of Platform Engineering

Lead the Future of Platform Engineering at Modus Create. As Senior Director of P...

Location

United States of America

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in Platform Engineering/DevOps
7+ years in senior engineering leadership
ideally in consulting or high-growth tech environments
a clear point of view on modern architecture, engineering best-practices, and agile delivery
proven experience scaling distributed global teams and platform engineering operations
strong pre-sales and delivery experience
able to shape winning proposals and roadmaps
a customer-first mindset and passion for solving complex problems with elegant, scalable solutions
excellent communication and collaboration skills in cross-functional and cross-cultural environments
a history of growing leaders and fostering high-trust, high-performance teams

Job Responsibility

Lead and scale a high-performing, distributed platform engineering team through strong mentorship and inclusive leadership
define what great looks like—through reusable runbooks, technical standards, and nurturing a culture grounded in quality, belonging, and continuous learning
help clients modernize platforms, launch new infrastructure, and make better innovation investment decisions
ensure every solution is aligned with client goals and drives measurable value
own and evolve our delivery frameworks, platform engineering standards, and team operations
champion cloud-native development, DevOps and SRE best practices, and scalable architecture
partner with Sales, Partnerships, and Client Executives to shape and win new opportunities
translate client needs into technical solutions, delivery plans, and estimates
lead development of proposals, estimation, and pre-sales architecture discussions
develop reusable solution assets, infrastructure templates and case studies for future engagements

What we offer

Remote work with flexible working hours
Modus Global Office Programme: on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

AI Platform Lead

A rapidly growing tech company is seeking an AI Platform Lead to architect and s...

Location

United Kingdom , London

Salary:

100000.00 GBP / Year

Formula Recruitment

Expiration Date

Until further notice

Requirements

5+ years’ experience building AI/ML platforms, LLM services, or ML infrastructure
Hands-on expertise with modern LLM frameworks—RAG, agents, prompt engineering, fine-tuning
Strong systems thinking and experience integrating AI into complex platforms
Product awareness and the ability to work across teams in a fast-moving environment

Job Responsibility

Architect and scale the core infrastructure powering their AI-driven modelling platform
Blend deep ML infrastructure expertise with strong systems thinking and product intuition
Work closely with engineering, product, and domain specialists to define how AI is integrated into the platform
Building LLM-backed agents, features, and developer-facing tools that deliver real value to end users

What we offer

Bonus
Flexible hybrid working from a London office
Generous time off and modern workspace perks
Pension contributions
Equity options and the chance to grow with the company

Fulltime

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...

Location

United States , Mountain View, California

Salary:

180000.00 - 280000.00 USD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

7 years of experience in software engineering
5 years of experience with infrastructure-as-code
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)

Job Responsibility

Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
Identify and implement opportunities to enhance engineering speed and efficiency
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
Develop and share best practices to improve automation and efficiency across our engineering teams

What we offer

equity and benefits

Fulltime

Staff Platform Engineer

Join our dynamic team as a Compute Platform Engineer and play a pivotal role in ...

Location

Canada , Vancouver

Salary:

190000.00 - 240000.00 CAD / Year

Inworld AI

Expiration Date

Until further notice

Requirements

7 years of experience in software engineering
5 years of experience with infrastructure-as-code
Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash

Job Responsibility

Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
Identify and implement opportunities to enhance engineering speed and efficiency
Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
Develop and share best practices to improve automation and efficiency across our engineering teams

What we offer

bonus
equity
benefits

Fulltime

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

241200.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
2+ years of experience managing infrastructure or ML platform engineers
Proven experience delivering and operating ML or AI infrastructure at scale
Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
Strong communication and stakeholder management skills

Job Responsibility

Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

AI Platform Engineer, Infrastructure

Brain Co.

Location:
United States , San Francisco Bay Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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Job Description:

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