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Ai Coder Jobs in Lansing, MI (NOW HIRING)

Intermountain Health

PB Coder

Lansing, MI · On-site

$28.06 - $44.20/hr

The Med Grp Professional Billing (PB) Coder II is responsible for accurately resolving coding edits ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Tech Tammina LLC

Sr Full Stack Java Developer

Okemos, MI · On-site

$47.50 - $61.25/hr

Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization * Ability to effectively write, refine, and iterate prompts to guide AI tools ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Use Git and collaborative development tools to manage and share code * Document findings ...

Intermountain Health

PB Coding Coordinator

Lansing, MI · On-site

$31.01 - $48.84/hr

Required credential: CPC Certified Professional Coder (CPC) or Certified Coding Specialist ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

micro1 AI

Clinical Pharmacy Technicians

Lansing, MI · Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

micro1 AI

Pharmacovigilance Expert

Lansing, MI · Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

Datavant

Profee Coding Consultant - PRN

Lansing, MI · On-site

$20 - $28/hr

  • Retirement

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

Datavant

Profee Coding Consultant - Full Time

Lansing, MI · On-site

$20 - $28/hr

  • Retirement

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

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All JobsAi Coder JobsAi Coder Jobs in Lansing, MI

Ai Coder information

See Lansing, MI salary details

$16

$27

$44

How much do ai coder jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai coder in Lansing, MI is $27.88, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $35.10 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

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

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Lansing, MI?

For Ai Coder jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Lansing, MI look for?

The top searched job categories for Ai Coder jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Ai Coder jobs?

Cities near Lansing, MI with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Lansing, MI as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $57,998 per year, or $27.9 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Lansing, MI • On-site

$180 - $240/hr

Other

This job post has expired today. Applications are no longer accepted.

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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