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Audio Engineer Jobs in Lexington, SC (NOW HIRING)

... audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets. Responsibilities The Engineer provides system ...

The audio revolution is here - and iHeart is leading it! iHeartMedia, the number one audio company ... of programming that reflects the diversity of the many communities we serve - and our company ...

Go-to-Market - Columbia, SC, USA

Columbia, SC ยท On-site

$150K - $200K/yr

... audio, so they can read faster, read more, and remember more. Google recently named Speechify the ... These include frontend and backend engineers, AI research scientists, and others from Amazon ...

Go-to-Market - Columbia, SC, USA

Columbia, SC ยท On-site

$150K - $200K/yr

... audio, so they can read faster, read more, and remember more. Google recently named Speechify the ... These include frontend and backend engineers, AI research scientists, and others from Amazon ...

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Audio Engineer information

See Lexington, SC salary details

$25.3K

$72.3K

$146.8K

How much do audio engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for audio engineer in Lexington, SC is $72,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $96,700.00 per year, depending on experience, location, and employer.

What does an audio engineer do?

An Audio Engineer is responsible for recording, mixing, and mastering sound for various media, including music, film, television, and live events. They operate and maintain audio equipment, ensure high-quality sound production, and often collaborate with producers, musicians, and other technical staff. Their work can involve setting up microphones, adjusting sound levels, editing audio tracks, and troubleshooting technical issues. Audio Engineers play a crucial role in achieving the desired sound for a project.

What are the key skills and qualifications needed to thrive as an audio engineer, and why are they important?

To thrive as an Audio Engineer, you need strong knowledge of sound theory, audio mixing, and recording techniques, often supported by a degree or certification in audio engineering or a related field. Proficiency with digital audio workstations (DAWs) such as Pro Tools or Logic Pro, audio interfaces, and studio equipment is crucial. Excellent attention to detail, problem-solving abilities, and effective communication skills set top professionals apart. These capabilities ensure high-quality sound production, smooth collaboration, and the ability to address technical challenges in dynamic audio environments.

How does an audio engineer typically collaborate with producers and artists during a recording session?

Audio engineers work closely with producers and artists to ensure the vision for each project is realized. During recording sessions, they set up and operate audio equipment, offer technical advice, and make real-time adjustments based on feedback. Communication is key, as engineers often interpret creative ideas into technical solutions, ensuring clarity and quality in every take. This collaborative environment requires flexibility, quick problem-solving, and a strong understanding of both the artistic and technical aspects of sound production.

What is the difference between Audio Engineer vs Sound Technician?

AspectAudio EngineerSound Technician
CredentialsAudio engineering degree or certification, technical trainingTechnical training, sometimes on-the-job experience
Work EnvironmentRecording studios, live events, post-productionLive events, concerts, theater productions
Industry UsageMusic, film, broadcasting, live soundConcerts, theater, events, live sound reinforcement

While both roles involve working with sound, Audio Engineers focus on recording, mixing, and mastering audio in studios or post-production, whereas Sound Technicians primarily handle live sound setup and operation during events. The roles often overlap but differ mainly in their work environment and specific responsibilities.

Do audio engineers get paid well?

Audio engineers can earn a wide range of salaries depending on experience, location, and industry. Entry-level positions often pay less, while experienced professionals working in high-demand areas or specialized fields can earn higher wages, with some reaching six-figure incomes. Skills in mixing, mastering, and familiarity with industry-standard software can also influence earning potential.

What do you do as an audio engineer?

An audio engineer is responsible for recording, mixing, and editing sound for music, film, television, or live events. They operate equipment such as mixing consoles, microphones, and digital audio workstations, and often require technical skills and certifications. Their work ensures high-quality sound production tailored to the project's needs.

What jobs can an audio engineer do?

An audio engineer can work in various roles such as recording engineer, live sound technician, mixing engineer, mastering engineer, broadcast engineer, and sound designer. They typically operate audio equipment, use digital audio workstations, and may work in studios, concert venues, film production, or broadcasting environments.

What are the most commonly searched types of Audio Engineer jobs in Lexington, SC?

The most popular types of Audio Engineer jobs in Lexington, SC are:

What are popular job titles related to Audio Engineer jobs in Lexington, SC?

For Audio Engineer jobs in Lexington, SC, the most frequently searched job titles are:

What cities near Lexington, SC are hiring for Audio Engineer jobs?

Cities near Lexington, SC with the most Audio Engineer job openings:

Infographic showing various Audio Engineer job openings in Lexington, SC as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $72,290 per year, or $34.8 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Columbia, SC โ€ข On-site

$110 - $170/hr

Other

Re-posted 8 days ago


Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: realโ€‘time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What youโ€™ll work across
  • Streaming, lowโ€‘latency speechโ€‘toโ€‘speech systems built on modern LLMs
  • Telephony and realโ€‘time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latencyโ€‘sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multiโ€‘model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLMโ€‘asโ€‘judge and automated agentโ€‘testsโ€‘agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (nonโ€‘LLM) machine learning
  • Endโ€‘toโ€‘end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy realโ€‘world data; calibration and explainability for nonโ€‘technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, leastโ€‘privilege access, strict dataโ€‘handling discipline
  • Observability and telemetryโ€‘driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional fullโ€‘stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What youโ€™ll actually do
  • Ship and debug code on a live, realโ€‘time voice pipeline where latency and correctness are userโ€‘facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batchโ€‘analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Mustโ€‘haves
  • 7+ years building and operating production backend systems, with strong generalโ€‘purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Handsโ€‘on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Niceโ€‘toโ€‘haves
  • Realโ€‘time media or telephony experience
  • Frontโ€‘end / fullโ€‘stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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