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Junior Ai Agent Developer Jobs in Tennessee (NOW HIRING)

Build production-grade services for tool calling, agent memory, context management, Model Context ... reasoning models, AI developer tooling, and agentic-first development. * Drive engineering ...

Build production-grade services for tool calling, agent memory, context management, Model Context ... reasoning models, AI developer tooling, and agentic-first development. * Drive engineering ...

Build production-grade services for tool calling, agent memory, context management, Model Context ... reasoning models, AI developer tooling, and agentic-first development. * Drive engineering ...

AI Engineer III

Memphis, TN · On-site

$117 - $166/hr

Use the Google Agent CLI (agents-cli / adk) to scaffold, run, test, evaluate, and package agent ... pipelines. * DevOps / CI/CD: Proven background with Docker , Artifact Registry , and CI/CD ...

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Junior Ai Agent Developer information

What does a junior AI agent developer do?

A Junior AI Agent Developer assists in designing, developing, and testing intelligent software agents that can perform tasks autonomously or interact with users. They typically work under the supervision of senior developers, contributing to coding, debugging, and integrating AI algorithms into applications. Their responsibilities may also include data preprocessing, model training, and monitoring agent performance. Junior developers often collaborate with team members to learn best practices and improve their technical skills in AI development.

What are the key skills and qualifications needed to thrive as a junior AI agent developer?

To thrive as a Junior AI Agent Developer, you need a solid background in programming (especially Python), foundational knowledge of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using version control systems (e.g., Git), and understanding APIs are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and learn rapidly in a dynamic field. These skills ensure you can contribute to developing, testing, and refining AI agents that perform reliably and efficiently.

What are some typical challenges faced by junior AI agent developers when working on real-world projects?

Junior AI Agent Developers often encounter challenges such as adapting to rapidly evolving AI frameworks, integrating agent models with existing software systems, and debugging complex machine learning pipelines. Additionally, collaborating effectively with data scientists, backend engineers, and product managers requires strong communication skills and a willingness to learn from more experienced colleagues. Overcoming these challenges provides valuable learning experiences and helps build a solid foundation for career advancement in AI development.

What is the difference between Junior Ai Agent Developer vs AI Software Engineer?

AspectJunior Ai Agent DeveloperAI Software Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, AI, or related; advanced certifications
Work EnvironmentStart-up, tech companies, AI labs; collaborative teamsTech firms, research institutions; more complex projects
Employer & Industry UsageAI startups, tech companies, industries adopting AILarge tech firms, R&D departments, AI-focused companies
Common Search & ComparisonYesNo

The Junior Ai Agent Developer typically focuses on developing and implementing AI agents under supervision, while an AI Software Engineer handles more complex AI system design, optimization, and integration. The roles differ mainly in experience level and project complexity, with the AI Software Engineer requiring more advanced skills and experience.

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

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

What cities in Tennessee are hiring for Junior Ai Agent Developer jobs?

Cities in Tennessee with the most Junior Ai Agent Developer job openings:

Infographic showing various Junior Ai Agent Developer job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Junior AI Solutions Engineer - AI Taskforce

Tencate Grass

Chattanooga, TN

Full-time

Re-posted 25 days ago


Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience
  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies
  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience
  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains
  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNAâ„¢ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria
  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.