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Software Engineer Jobs in Lansing, MI (NOW HIRING)

Stem Xpert

Software Architect(.Net)

Lansing, MI

Software Engineer capabilities with 10 or more years of experience At least ten years of experience with web development in .Net and C# At least ten years of experience with web development in ...

Stem Xpert

Powerbuilder Developer

Lansing, MI · On-site

Application Software Engineer with 8 or more years of demonstrable working experience in application software design, development, and implementation of medium-to-large scale web-based systems and ...

Stem Xpert

Powerbuilder Developer

Lansing, MI

Application Software Engineer with 8 or more years of demonstrable working experience in application software design, development, and implementation of medium-to-large scale web-based systems and ...

Auto-Owners Insurance

Software Developer

Lansing, MI · On-site

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated individual to join our IT Division as a Software Developer. Responsibilities include developing, maintaining, and ...

Danaher

Software Automation Internships

Lansing, MI · On-site

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... Troubleshooting system and software issues Collaborating with cross-functional teams on ...

Barcodes, Inc.

Software Developer

Howell, MI

We are seeking a developer to build and implement enterprise level software services with large supply chain communities, enabling business processes with RFID technologies and the sharing of ...

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Showing results 21-40

All JobsSoftware Engineer JobsSoftware Engineer Jobs in Lansing, MI

Software Engineer information

See Lansing, MI salary details

$64.4K

$149.6K

$208.4K

How much do software engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for software engineer in Lansing, MI is $149,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $175,500.00 per year, depending on experience, location, and employer.

Are software engineers still in demand?

Software engineers are currently in high demand due to ongoing digital transformation across industries, with strong growth projected in areas like cloud computing, cybersecurity, and AI. Skills in programming languages such as Python, Java, and experience with agile development increase employability in this field.

What is a software engineer?

Software Engineers are professionals who design, develop, test, and maintain computer software and systems. They use programming languages, engineering principles, and problem-solving skills to build applications, websites, or software solutions that meet specific needs. Software Engineers may work in a variety of industries, such as technology, finance, healthcare, or entertainment, collaborating with other team members to deliver functional and reliable software. Their role often involves analyzing user requirements, writing code, debugging errors, and continually improving software performance.

What are some common challenges software engineers face when collaborating on large development teams?

Software engineers working on large teams often encounter challenges with communication, code integration, and maintaining consistent coding standards. Coordinating across multiple developers can lead to merge conflicts and misunderstandings about project requirements or priorities. Adopting tools like version control systems, regular code reviews, and clear documentation helps mitigate these issues. Building strong collaboration skills and proactively seeking clarification are key to ensuring smooth teamwork and project success.

Are software engineers still in high demand?

Software engineers remain in high demand due to ongoing digital transformation across industries, with skills in programming languages, cloud computing, and cybersecurity highly sought after. The job market is expected to grow faster than average, with opportunities in various sectors including technology, finance, and healthcare.

Is 25 too late to become a software engineer?

Age is not a barrier to becoming a software engineer; many professionals start in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and problem-solving, often through coding bootcamps, degrees, or self-study, and gaining practical experience. Employers value skills and experience over age, making it possible to enter the field at 25 or older.

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

To thrive as a Software Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are typically required. Excellent teamwork, communication, and adaptability distinguish top performers in this role. These skills ensure efficient, high-quality software development that meets user needs and adapts to technological changes.

What is the difference between Software Engineer vs Software Developer?

AspectSoftware EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certificationsBachelor's degree often preferred, certifications optional
Work EnvironmentDesigning, developing, testing, and maintaining software systemsWriting, coding, and implementing software applications
Industry UsageUsed across tech, finance, healthcare, and more for system-level rolesCommonly used in app and web development projects
Search IntentUnderstanding roles, responsibilities, and qualificationsLearning about coding, programming, and project work

While both roles involve software creation, Software Engineers typically focus on designing and architecting complex systems, whereas Software Developers mainly concentrate on coding and building specific applications. The roles often overlap, but the Engineer role may require broader system knowledge and design skills.

What do software engineers do for a job?

Software engineers design, develop, test, and maintain software applications and systems. They use programming languages, tools, and frameworks to create solutions that meet user needs and technical requirements, often collaborating with teams and following project deadlines.
More about Software Engineer jobs
What are the most commonly searched types of Software Engineer jobs in Lansing, MI? The most popular types of Software Engineer jobs in Lansing, MI are:
What are popular job titles related to Software Engineer jobs in Lansing, MI? For Software Engineer jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Software Engineer jobs in Lansing, MI look for? The top searched job categories for Software Engineer jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Software Engineer jobs? Cities near Lansing, MI with the most Software Engineer job openings:
Software Engineer jobs near you
Infographic showing various Software Engineer job openings in Lansing, MI as of August 2026, with employment types broken down into 57% Full Time, 5% Part Time, and 38% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $149,628 per year, or $71.9 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

Posted 25 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: real‑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 you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑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
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑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, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

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

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑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
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑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
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑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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