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Research Python Jobs in Fort Wayne, IN (NOW HIRING)

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

Use Python and SQL fluently across prototyping, feature engineering, and production pipeline ... Stay current with developments in AI research and tooling; evaluate and introduce new capabilities ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Use Python and SQL fluently across prototyping, feature engineering, and production pipeline ... Stay current with developments in AI research and tooling; evaluate and introduce new capabilities ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

An AI research role * A pure ML modeling role * A prompt engineering role * A people management ... Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from ...

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All JobsResearch Python JobsResearch Python Jobs in Fort Wayne, IN

Research Python information

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$13

$57

$85

How much do research python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for research python in Fort Wayne, IN is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Research Python Developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

Is Python good for research?

Research Python developers use Python because of its simplicity, extensive libraries, and strong support for data analysis, machine learning, and scientific computing. It is widely adopted in academia and industry for research projects, often complemented by tools like Jupyter notebooks and frameworks such as NumPy and pandas.

What Python jobs are in demand?

Python development roles such as data scientist, machine learning engineer, backend developer, and automation engineer are currently in high demand. These positions often require knowledge of frameworks like Django or Flask, data analysis libraries, and proficiency in cloud platforms. Demand is driven by industries including technology, finance, healthcare, and e-commerce, with many roles requiring strong problem-solving skills and experience with version control tools like Git.

Will AI replace Python coders?

Research Python coders develop and maintain Python-based applications and tools, and while AI can automate certain coding tasks, it is unlikely to fully replace human programmers due to the need for problem-solving, creativity, and understanding complex requirements. AI tools can assist coders by increasing efficiency and handling repetitive tasks, but human oversight remains essential for quality and innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

What are the key skills and qualifications needed to thrive as a Research Python Developer, and why are they important?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python Developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.

Is Python still in demand in 2026?

Python remains a highly in-demand skill for research roles, including those involving data analysis, machine learning, and automation. Its versatility, extensive libraries, and widespread use in industry and academia ensure continued demand for professionals proficient in Python in 2026.
What are popular job titles related to Research Python jobs in Fort Wayne, IN? For Research Python jobs in Fort Wayne, IN, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Fort Wayne, IN look for? The top searched job categories for Research Python jobs in Fort Wayne, IN are:
What cities near Fort Wayne, IN are hiring for Research Python jobs? Cities near Fort Wayne, IN with the most Research Python job openings:
Research Python jobs near you

AI Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

Full-time

Re-posted 13 days ago

Job description

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data & Innovation team focused on advancing the organization's data and analytics capabilities. This position will design, build, and deploy AI-powered solutions that improve staff effectiveness and enhance services for clients. Initial focus areas include surfacing insights from complex documentation, reducing administrative burden, and supporting faster, more informed decision-making across programs and operations.
Working closely with organizational stakeholders and the broader data team, the AI Engineer will leverage curated data assets from Petra, Lasting Change's Microsoft Fabric-based enterprise data lakehouse, to deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI capabilities mature, this role will help establish the standards, platforms, and practices that support long-term success.
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
  1. Perform quality work within deadlines with or without direct supervision.

2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Requirements
LLM Application Development
  • Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces.
  • Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows.
  • Evaluate, select, and integrate best-in-class LLM and AI platform tooling, with preference for Microsoft Fabric, Azure AI Foundry, and complementary services.
  • Ensure AI applications are reliable, auditable, and designed with responsible AI principles, including transparency, fairness, and appropriate human oversight.

Agentic Workflows & Process Automation
  • Design and deploy agentic workflows that automate multi-step processes, reducing manual effort and improving consistency across operations.
  • Build and integrate MCP (Model Context Protocol) servers to connect AI agents with organizational data sources, internal tools, and external services.
  • Collaborate with operational stakeholders to identify, scope, and deliver automation opportunities with clear business value.
  • Contribute to a disciplined, iterative approach to AI development - shipping focused solutions, learning from them, and expanding scope over time.

Data Collaboration & Platform Integration
  • Partner closely with the internal data team to leverage curated, trusted datasets from Petra as inputs to AI systems and pipelines.
  • Collaborate on data modeling and governance decisions that support AI use cases without compromising platform integrity.
  • Ensure all AI pipelines are integrated with the organization's data platform, security standards, and access controls.
  • Use Python and SQL fluently across prototyping, feature engineering, and production pipeline development.

Stakeholder Collaboration & Communication
  • Engage directly with program leaders, operations staff, and leadership to understand business problems and define AI solutions with clear, measurable outcomes.
  • Communicate AI system behavior, limitations, and results in plain language to non-technical audiences.
  • Champion responsible, explainable AI use across the organization - ensuring solutions are trustworthy and aligned with Lasting Change's mission and values.
  • Maintain thorough documentation of all AI systems, prompt designs, agentic workflows, and integration patterns to support maintainability and knowledge transfer.

Platform Ownership & Continuous Improvement
  • Contribute to AI engineering standards and tooling choices that can scale as the organization's capability grows.
  • Leverage AI-assisted development practices to maximize engineering velocity across prototyping, documentation, and testing.
  • Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value.
  • Participate in shaping the long-term AI roadmap, including identifying when and how machine learning capabilities should be introduced over time.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 5-8 years of professional experience in AI, data engineering, software engineering, or a closely related field.
  • Demonstrated expertise in LLM integration, prompt engineering, and building AI-powered applications using modern foundation models.
  • Hands-on experience designing and deploying agentic AI workflows, including tool use and multi-step reasoning; familiarity with agent orchestration frameworks a plus.
  • Experience building or integrating MCP (Model Context Protocol) servers or equivalent agent-to-tool integration patterns.
  • Strong proficiency in Python and SQL; comfortable across prototyping, pipeline development, and production deployment.
  • Experience with cloud AI platforms; Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.
  • Experience consuming organizational data platforms (lakehouses, warehouses, or similar) as inputs to AI systems.
  • Strong communication skills with the ability to explain AI concepts, system behavior, and trade-offs clearly to non-technical stakeholders.
  • Demonstrated commitment to responsible AI practices including explainability, fairness, and appropriate human oversight.
  • Highly organized, self-directed, and motivated by mission-driven work.

Preferred Qualifications
  • Experience with retrieval-augmented generation (RAG) architectures and vector search platforms (e.g. Azure AI Search, Pinecone, Weaviate).
  • Familiarity with MLOps concepts and an interest in growing into machine learning model development and deployment over time.
  • Exposure to healthcare, human services, or nonprofit data environments.
  • Microsoft Azure AI, Fabric, or equivalent cloud certifications.
  • Experience surfacing AI outputs through Power BI or other BI and reporting platforms.
  • Comfortable working in a greenfield environment where processes and patterns are still being established.
  • Commitment to continuous learning and professional growth in a rapidly evolving field.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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