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Ai Agent Developer Jobs in Indiana (NOW HIRING)

Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning. * Ensure all tasks reflect the complexity and depth of real-world ...

AI Solutions Engineer

Carmel, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Translating unfamiliar business processes into clear agent requirements, scope, and success ...

New

AI Solutions Engineer

Carmel, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title The AI Solutions Engineer is responsible for designing, building, and evaluating managed ... Translating unfamiliar business processes into clear agent requirements, scope, and success ...

New

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

  • Retirement

  • PTO

Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to ... Applying AI to anomaly detection and market behavior analysis across electrical markets * Driving ...

Sr Staff Platform Engineer / Team Lead

West Lafayette, IN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI agent integration frameworks. * Familiarity with Airflow, Databricks, SageMaker, EKS, Quilt, MLflow, or related data and AI platform tooling. * Experience building internal developer platforms ...

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Showing results 21-40

Ai Agent Developer information

See Indiana salary details

$27.6K

$45.6K

$94.7K

How much do ai agent developer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai agent developer in Indiana is $45,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $48,500.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

What are the most commonly searched types of Ai Agent Developer jobs in Indiana?

The most popular types of Ai Agent Developer jobs in Indiana are:

What are popular job titles related to Ai Agent Developer jobs in Indiana?

For Ai Agent Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in Indiana look for?

The top searched job categories for Ai Agent Developer jobs in Indiana are:

What cities in Indiana are hiring for Ai Agent Developer jobs?

Cities in Indiana with the most Ai Agent Developer job openings:

Director of Biostatistics

micro1 AI

Evansville, IN • Remote

$60 - $100/hr

Part-time

Posted 7 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.