A Career at HARMAN Lifestyle
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound.
- Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel
- Unite your passion for audio innovation with high-tech product development
- Create pitch-perfect, cutting-edge technology that elevates the listening experience
About the Role
We are looking for an AI Innovation Engineer to join A-Lab, Harman Consumer Audio Engineering’s advanced technology and innovation team.
This role focuses on building AI-powered internal tools, agentic workflows, and automation systems that improve how engineering, innovation, product, and business teams work. The candidate will write code, use AI-assisted development tools, and turn emerging AI capabilities into practical software solutions.
We value practical building experience more than formal credentials alone. Candidates are expected to show real projects they have built, such as AI agents, workflow automation tools, LLM applications, internal tools, data-analysis assistants, or personal AI projects. Fresh graduates or early-career candidates are welcome if they can demonstrate strong hands-on capability, fast learning ability, and a builder mindset.
Your Team
You will join A-Lab, a forward-looking innovation team within Consumer Audio Engineering. A-Lab explores new technologies, builds proof-of-concepts, validates future opportunities, and supports selected innovations toward real adoption.
The team works across audio, acoustics, AI, software, algorithms, user experience, and rapid prototyping. Projects may relate to Soundbars, Portable Speakers, Headphones, One App, connected experiences, internal tools, and broader digital innovation opportunities.
What You Will Do
- Build AI-powered internal tools, agentic workflows, and automation systems that improve engineering, innovation, product, data, and business processes
- Design, develop, test, and deploy AI applications using Python, LLM APIs, agent frameworks, automation pipelines, AI-assisted coding tools, and lightweight user interfaces
- Create AI agents for knowledge retrieval, document generation, workflow automation, data analysis, research assistance, requirement drafting, and test-case generation
- Work with A-Lab teammates and cross-functional stakeholders to identify workflow pain points, validate use cases, improve reliability through feedback loops, and turn ideas into working tools
What You Need to Be Successful
- Strong hands-on coding capability, especially in Python, with experience using Git, APIs, testing, debugging, and basic deployment environments
- Practical experience building AI-agent applications, LLM-based tools, workflow automation systems, or AI-powered internal tools
- Ability to show real work you have built, such as a portfolio, demo, GitHub repository, prototype, hackathon project, open-source contribution, or personal AI project
- Familiarity with LLM APIs, prompt engineering, function calling, tool use, RAG, agent frameworks, orchestration methods, and AI-assisted coding tools
- Understanding of how to evaluate and improve AI systems, including test harnesses, feedback loops, failure analysis, reliability, privacy, maintainability, and user trust
- Strong curiosity, fast learning ability, builder mindset, and good collaboration skills across different technical backgrounds
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related technical field is preferred; strong practical project experience will also be considered
Bonus Points if You Have
- Experience with LLM / agent frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, OpenAI API, Claude API, Gemini API, or similar tools
- Experience building internal productivity tools, knowledge assistants, workflow copilots, dashboards, automation bots, data-analysis agents, or enterprise RAG systems
- Experience with lightweight frontend, databases, vector databases, cloud deployment, Docker, CI/CD, telemetry, BI tools, or product analytics
- Personal AI projects, hackathon projects, open-source projects, startup experience, or internal innovation experience
- Interest in audio, music, entertainment technology, consumer electronics, or creative tools, with good product sense for identifying real workflow pain points
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Skills Required
- Strong hands-on coding capability in Python, with experience using Git, APIs, testing, debugging, and basic deployment environments
- Practical experience building AI-agent applications, LLM-based tools, workflow automation systems, or AI-powered internal tools
- Ability to show real projects (portfolio, demo, GitHub repo, prototype, hackathon, open-source contribution, or personal AI project)
- Familiarity with LLM APIs, prompt engineering, function calling, tool use, RAG, agent frameworks, and orchestration methods
- Understanding of evaluating and improving AI systems including test harnesses, feedback loops, failure analysis, reliability, privacy, maintainability, and user trust
- Strong curiosity, fast learning ability, builder mindset, and good collaboration skills
- Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, AI, Data Science, or related field
- Experience with LLM/agent frameworks and tools such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, OpenAI API, Claude API, Gemini API
- Experience with lightweight frontend, databases, vector databases, cloud deployment, Docker, CI/CD, telemetry, BI tools, or product analytics
- Personal AI projects, hackathon projects, open-source contributions, startup or internal innovation experience
- Interest in audio, music, entertainment technology, consumer electronics, or product-sense for workflow pain points
Harman Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harman and has not been reviewed or approved by Harman.
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Healthcare Strength — Healthcare coverage is described as comprehensive, often including medical, dental, and vision plans, with HSAs/FSAs and disability or life insurance also referenced. Wellbeing support such as EAP access and onsite occupational health services is also part of the package in some regions.
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Wellbeing & Lifestyle Benefits — Lifestyle-oriented benefits include employee product discounts and region-specific perks like free fruit deliveries, Cycle to Work schemes, and meal coupons or allowances. Flexible schedules and work-from-home options are also part of the overall offering where roles and projects allow.
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Fair & Transparent Compensation — Pay is repeatedly characterized as solid or market-aligned for many roles, with salary payments described as consistent and on time. Compensation is also tied to performance in some accounts, reinforcing a perception of basic fairness for a portion of employees.
Harman Insights
What We Do
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!
