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$103k–$193k/yr
Full-time
bachelor degree, postgraduate degree
Comprehensive Benefits Package, 401k Contribution, Short-term Incentive Plan
Posted 41d ago
~40 hrs/week
Responsibilities
Lead engineering teams in building AI capabilities, including real-time data serving infrastructure and LLM orchestration for connected home experiences. Manage the end-to-end delivery of machine learning pipelines and agentic interfaces while growing technical leadership within the team.
Requirements
Requires a Bachelor's or Master's degree in Computer Science with over 7 years of software engineering experience, including 3+ years in leadership. Must have proven expertise in production-scale ML pipelines, real-time serving, and LLM-powered systems.
Full job description
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
This role is within Chamberlain Group's Engineering Function. This manager leads engineering teams focused on building and delivering AI capabilities that power intelligent, connected home experiences for our customers. This is a US-based leadership role managing a distributed engineering team.
Engineering teams in this role are responsible for the real-time data serving infrastructure that powers personalized, low-latency experiences; the agentic interface and LLM orchestration layer that enables intelligent interactions with customers; and the machine learning models that detect anomalies and surface insights to keep customers informed and in control of their connected home.
This role will work with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team. Success in this role is to deliver and maintain the platform as a unified source of truth to deliver intelligent, personalized experiences to customers.
This is a senior software engineering leadership role — strong programming fundamentals and hands-on fluency with real-time serving, LLM systems, and ML pipelines are required.
Job Responsibilities:
Own end-to-end engineering delivery of the real-time data serving infrastructure, including data serving layers, search indexes, and online feature delivery
Drive engineering reliability and scalability of the real-time model serving infrastructure
Lead engineering delivery of the agentic interface end-to-end
Own LLM orchestration architecture for dialogue management, context handling, and session continuity
Own customer insight modeling pipeline and ensure high accuracy
Lead machine learning pipeline engineering that surfaces insights about connected home usage patterns
Manage sprint-cadence delivery across engineering teams with clear ownership, unblocking, and accountability
Work closely with cross-functional teams across architecture, product, AI/ML ops, and the Video Intelligence team to manage feature and data dependencies
Lead drift detection, confidence scoring pipeline monitoring, and production rollback readiness
Prepare and deliver team health updates and milestone reviews to leadership
Operate fluidly as a first-line or second-line manager depending on project needs — directly managing engineers when hands-on delivery leadership is required, and leading through senior engineers who manage their own teams in steadier execution phases
Develop and grow Senior Engineers into technical leads who can carry day-to-day team ownership, while maintaining direct coaching relationships across the full team
Lead hiring and onboarding of engineers
Build a high-trust, high-velocity team culture
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams
Protect Chamberlain Group's reputation by keeping information confidential
Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies
Contribute to the team effort by accomplishing related results and participating on projects as needed
Job Requirements:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
7+ years of software engineering experience, including 3+ years in an engineering leadership or management role
Demonstrated ownership of real-time serving infrastructure and machine learning pipelines at production scale: low-latency APIs, feature stores, embedding indexes, model serving, or online scoring layers
Experience building or leading LLM-powered or agentic systems: conversational AI, LLM orchestration, retrieval-augmented generation (RAG), or dialogue management
Experience with ML behavioral modeling, anomaly detection, or time-series analysis
Experience managing distributed engineering teams spanning geographies and employment models
Proven track record delivering production APIs with strict SLA requirements (uptime and observability standards).
Knowledge, Skills, and Abilities:
Strong software engineering fundamentals: production-quality Python, system design, code review practices, and automated testing — this is not a configuration or no-code role
Deep understanding of real-time serving architecture: API gateway patterns, vector search, and feature store read paths
Working knowledge of LLM orchestration frameworks (LangChain or equivalent), retrieval-augmented generation (RAG) pipelines, prompt engineering, and AI agent workflow design
Familiarity with ML anomaly detection techniques: behavioral baselines, scoring pipelines, false-positive management
Experience with production observability tooling (Datadog APM or equivalent): span tracing, cost monitoring, alert threshold management
Strong communication and stakeholder management skills — comfortable bridging distributed engineering execution with product and AI leadership
Able to operate with autonomy in a fast-moving environment; capable of defining process where none yet exists
Other:
Ability to travel up to 10% of the time domestically and internationally
Preferred Job Requirements:
Master's degree in Computer Science, Computer Engineering, or related field
AWS Certified Machine Learning Specialty or equivalent cloud ML certification
Experience in IoT, smart home, or consumer device ecosystems where AI operates at or near the edge
Background in occupancy modeling, event-sequence pipelines, or behavioral data for connected devices
Prior experience building or scaling a real-time decisioning layer that interfaces between a data platform and user-facing product surfaces
Knowledge, Skills, and Abilities:
Familiarity with OpenSearch, pgvector, or equivalent embedding index infrastructure
Understanding of A/B experimentation infrastructure and feature flag-driven rollout strategies
Experience with ArgoCD, CI/CD pipelines, and gradual traffic ramp strategies for ML model deployments
The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected].
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
Making access simple and secure with #myQconnected solutions.
Industry
Software Development
Company size
5,001-10,000 employees
Headquarters
Oak Brook, Illinois
LinkedIn followers
50,610
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 50+ million homes, and 15 million+ people rely on the myQ app daily.
Chamberlain Group earned a spot on Built In’s 2026 Best Places to Work Awards for Chicago.
Offices: Oak Brook, Illinois 60523, US · Nogales, MX · Sydney, AU · Tucson, AZ, US · Saarbrüken, DE
Residential Garage Door OpenersSecurityCommercial Door OperatorsAccess SolutionsGate OperatorsConnectivity & ControlsAccess ServicesFacility Access ControlsIoTsmart home
Based on 5100 listings with disclosed salaries, most engineering jobs in Illinois pay between $79k–$180k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Illinois right now?
There are currently 9,244 open engineering positions in Illinois listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Illinois?
Companies currently hiring include Allergan, Caterpillar Inc., Northrop Grumman, Sargent & Lundy, Northrop Grumman Mission Systems, Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Illinois?
Yes — 2302 of the 9244 open engineering positions offer remote or hybrid work (669 remote, 1633 hybrid).
How do I apply for Engineering jobs in Illinois?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.